Aug 20, 2021 | Volume 11 - Issue 3
Hannah B. Bayne, Danica G. Hays, Luke Harness, Brianna Kane
We conducted a content analysis of counseling scholarship related to Whiteness for articles published in national peer-reviewed counseling journals within the 35-year time frame (1984–2019) following the publication of Janet Helms’s seminal work on White racial identity. We identified articles within eight counseling journals for a final sample of 63 articles—eight qualitative (12.7%), 38 quantitative (60.3%), and 17 theoretical (27.0%). Our findings outline publication characteristics and trends and present themes for key findings in this area of scholarship. They reveal patterns such as type of research methodology, sampling, correlations between White racial identity and other constructs, and limitations of White racial identity assessment. Based on this overview of extant research on Whiteness, our recommendations include future research that focuses on behavioral and clinical manifestations, anti-racism training within counselor education, and developing a better overall understanding of how White attitudes and behaviors function for self-protection.
Keywords: Whiteness, White racial identity, counseling scholarship, counseling journals, content analysis
Counselors are ethically guided to understand and address the roles that race, privilege, and oppression play in impacting both themselves and their clients (American Counseling Association [ACA], 2014). Most practitioners identify as White despite the population diversity in the United States (U.S. Census Bureau, 2020), which holds implications for understanding how Whiteness impacts culturally competent counselor training and practice (Helms, 1984, 1995, 2017). It is important, then, to understand the role of racial identity within counseling, particularly in terms of how Whiteness can be deconstructed and examined as a constant force impacting power dynamics and client progress (Helms, 1990, 2017; Malott et al., 2015). Whiteness models (i.e., Helms, 1984) describe how White people make meaning of their own and others’ racial identity as a result of personal and social experiences with race (Helms, 1984, 2017). The Helms model, along with other constructs, such as color-blindness (Frankenberg, 1993), White racial consciousness (Claney & Parker, 1989), and White fragility (DiAngelo, 2018), implicates the harmful impacts of Whiteness and invites critical reflection of how these constructs impact the counseling process.
Though much has been theorized regarding Whiteness and its impact within the helping professions, the contributions of Whiteness scholarship within professional counseling journals are unclear. An understanding of the specific professional applications and explorations of Whiteness within counseling can help identify best practices in counselor education, research, and practice to counter the harmful impacts of Whiteness and encourage growth toward anti-racist attitudes and behaviors.
White Racial Identity and Related Constructs
The Helms (1984) model of White racial identity (WRI) presents Whiteness as a developmental process centering on racial consciousness (i.e., the awareness of one’s own race), as well as awareness of attitudes and behaviors toward other racial groups (Helms, 1984, 1990, 1995, 2017). According to Helms, White people have the privilege to restrict themselves to environments and relationships that are homogenous and White-normative, thus limiting their progression through the stages (DiAngelo, 2018; Helms, 1984). The initial model (Helms, 1984) contained five stages (i.e., Contact, Disintegration, Reintegration, Pseudo-Independence, and Autonomy), each with a positive or negative response that could facilitate progression toward a more advanced stage, regression to earlier stages of the model, or stagnation at the current stage of development. Helms (1990) later added a sixth status, Immersion/Emersion, to the model as an intermediary between Pseudo-Independence and Autonomy. These final three stages of the model (i.e., Pseudo-Independence, Immersion/Emersion, Autonomy) involve increasing levels of racial acceptance and intellectual and emotional comfort with racial issues, which in turn leads to the development of a positive and anti-racist WRI (Helms, 1990, 1995).WRI requires intentional and sustained attention toward how Whiteness impacts the self and others, with progression through the stages leading to beneficial intra and interpersonal outcomes (Helms, 1990, 1995, 2017).
Since Helms (1984), several additional components of Whiteness have been introduced, primarily within psychology, counseling psychology, and sociology scholarship. White racial consciousness is distinct from the WRI model in its focus on attitudes toward racial out-groups, rather than using the White in-group as a reference point (Choney & Behrens, 1996; Claney & Parker, 1989). Race essentialism refers to the degree to which a person believes that race reflects biological differences that influence personal characteristics (Tawa, 2017). Symbolic/modern racism refers to overt attitudes of White people related to their perceived superiority (Henry & Sears, 2002; McConahay, 1986). A fourth Whiteness component, color-blind racial ideology, enables color-evasion (i.e., “I don’t see color”) and power-evasion roles (i.e., “everyone has an equal chance to succeed”), which allow White people to deny the impact of race and therefore evade a sense of responsibility for oppression (Frankenberg, 1993; Neville et al., 2013). White privilege refers to the systemic and unearned advantages provided to White people over people of color (McIntosh, 1988). There are also psychosocial costs accrued to White people as a result of racism that include (a) affective (e.g., anxiety and fear, anger, sadness, guilt and shame); (b) cognitive (i.e., distorted views of self, others, and reality in general related to race); and (c) behavioral (i.e., avoidance of cross-racial situations or loss of relationships with White people) impacts (Spanierman & Heppner, 2004). White fragility (DiAngelo, 2018) reflects defensive strategies White people use to re-establish cognitive and affective equilibrium regarding their own Whiteness and impact on others.
Whiteness concepts are thus varied, with different vantage points of how White people might engage in the consideration of power, privilege, and racism, and what potential implications these constructs might have on their development. These constructs also seem largely rooted in psychology research, and it is therefore unclear the extent to which counselor educators and researchers have examined and applied these constructs to training and practice. Such an analysis can assist in situating Whiteness within the specific contexts and professional roles of counseling and can identify areas in need of further study.
The Present Study
Because of the varied components of Whiteness, as well as its potential impact on counselor development and counseling process and outcome (Helms, 1995, 2017), there is a need to examine how these constructs have been examined and applied within counseling research. We sought to identify how and to what degree Whiteness constructs have been explored or developed within the counseling profession since the publication of the Helms (1984) model. We hope to summarize empirical and theoretical constructs related to Whiteness in national peer-reviewed counseling journals to more clearly consider implications for training and practice. Such analysis can highlight the saliency of WRI, demonstrating the need for continued focus on the influences and impacts of Whiteness within counseling. The following research questions were addressed: 1) What types of articles, topics, and major findings are published on Whiteness?; 2) What are the methodological features of articles published on Whiteness?; and 3) What are themes from key findings across these publications?
Method
We employed content analysis to identify publication patterns of national peer-reviewed counseling journals regarding counseling research on Whiteness in order to understand the scope and depth of this scholarship as it applies to fostering counselor training and practice. Content analysis is the systematic review of text in order to produce and summarize numerical data and identify patterns across data sources regarding phenomena (Neuendorf, 2017). In addition, content analysis has been used to summarize and identify patterns for specific topics, including multicultural counseling (e.g., Singh & Shelton, 2011).
Data Sources and Procedure
The sampling units for this study were journal articles on Whiteness topics published in national peer-reviewed journals (N = 24) of the ACA and its divisions, the American School Counselor Association, the American Mental Health Counselors Association, the National Board for Certified Counselors, and Chi Sigma Iota International. We used the following search terms: White supremacy, White racial identity, White privilege, White fragility, White guilt, White shame, White savior, White victimhood, color-blindness, race essentialism, anti-racism, White racism, reverse racism, White resistance, and Whiteness. We selected a 35-year review period (i.e., 1984–2019) to correspond with Helms’s (1984) foundational work on WRI.
We reviewed article abstracts to identify an initial sampling unit pool (N = 185 articles; 29 qualitative [15.6%], 56 quantitative [30.3%], and 100 theoretical [54.1%]). In pairs, we reviewed the initial pool to more closely examine each sampling unit for inclusion in analysis. We excluded 122 articles upon closer inspection (e.g., special issue introductions, personal narratives or profiles, broader focus on social justice issues, ethnic identity, multiculturalism, or primary focus on another racial group). This resulted in a final sample of 63 articles—eight qualitative (12.7%), 38 quantitative (60.3%), and 17 theoretical (27.0%; see Table 1).
Research Team
Our team consisted of four researchers: two counselor education faculty members and two counselor education doctoral students. We all identify as White. Hannah B. Bayne and Danica G. Hays hold doctorates in counselor education, and Luke Harness and Brianna Kane hold master’s degrees in school counseling and mental health counseling, respectively. We were all trained in qualitative research methods, and Bayne and Hays have conducted numerous qualitative research projects, including previous content analyses. Bayne and Hays trained Harness and Kane on content analysis through establishing coding protocols and coding together until an acceptable inter-rater threshold was met.
Table 1
Exclusion and Inclusion of Articles by Journal and Article Type
| Journal |
Excludeda |
Included |
Total
Sample |
% of
Final
Sample |
| Quant |
Qual |
Theory |
Quant |
Qual |
Theory |
| Journal of Counseling & Development |
5 |
0 |
11 |
16 |
4 |
5 |
24 |
38.1% |
Journal of Multicultural Counseling and
Development |
3 |
3 |
14 |
14 |
3 |
8 |
24 |
38.1% |
| Counselor Education and Supervision |
1 |
0 |
1 |
4 |
1 |
2 |
7 |
11.1% |
| The Journal of Humanistic Counseling |
1 |
2 |
14 |
1 |
1 |
1 |
3 |
4.8% |
| Journal of Mental Health Counseling |
0 |
0 |
2 |
1 |
0 |
3 |
2 |
3.2% |
| Counseling and Values |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
1.6% |
| The Family Journal |
1 |
1 |
5 |
0 |
0 |
2 |
1 |
1.6% |
| Journal of Creativity in Mental Health |
0 |
2 |
4 |
0 |
0 |
1 |
1 |
1.6% |
| Adultspan Journal |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0% |
| The Career Development Quarterly |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0% |
Counseling Outcome Research
and Evaluation |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0% |
Journal for Social Action in Counseling
and Psychology |
0 |
0 |
3 |
0 |
0 |
0 |
0 |
0% |
| The Journal for Specialists in Group Work |
0 |
1 |
6 |
0 |
0 |
0 |
0 |
0% |
Journal of Addictions & Offender
Counseling |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0% |
| Journal of Child and Adolescent Counseling |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0% |
| Journal of College Counseling |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0% |
Journal of Counselor Leadership
and Advocacy |
1 |
5 |
6 |
0 |
0 |
0 |
0 |
0% |
| Journal of Employment Counseling |
2 |
0 |
4 |
0 |
0 |
0 |
0 |
0% |
| Journal of LGBTQ Issues in Counseling |
0 |
1 |
2 |
0 |
0 |
0 |
0 |
0% |
Journal of Military and Government
Counseling |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0% |
Measurement and Evaluation in
Counseling and Development |
1 |
0 |
2 |
0 |
0 |
0 |
0 |
0% |
| Professional School Counseling |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0% |
| Rehabilitation Counseling Bulletin |
3 |
1 |
2 |
0 |
0 |
0 |
0 |
0% |
| The Professional Counselor |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0% |
| Professional School Counseling |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0% |
Note. Quant = quantitative research articles; Qual = qualitative research articles; Theory = theoretical articles.
aArticles were excluded from analysis if they did not directly address Whiteness or White racial identity (e.g., special issue introductions, personal narratives or profiles, broader focus on social justice issues, ethnic identity, multiculturalism, or primary focus on another racial group).
Coding Frame Development
Dimensions and categories for our coding frame included: journal outlet, publication year, author characteristics (i.e., name, institutional affiliation, ACES region), article type, sample characteristics (e.g., composition, size, gender, race/ethnicity), research components (e.g., research design, data sources or instrumentation, statistical methods, research traditions, trustworthiness strategies), topics discussed (e.g., WRI attitudes, counselor preparation models, intervention use, client outcomes, counseling process), article implications and limitations, and a brief statement of key findings. Over the course of research team meetings, we reviewed and operationalized the coding frame dimensions and categories. We then selected one empirical and one conceptual article to code together in order to refine the coding frame, which resulted in further clarification of some categories.
Data Analysis
To establish evidence of replicability (Neuendorf, 2017), we coded eight (12.7%) randomly selected cases proportionate to the sample composition (i.e., two conceptual, four quantitative, two qualitative). We analyzed the accuracy rate of coding using R data analysis software for statistical analysis (LoMartire, 2020). Across 376 possible observations for eight cases, there was an acceptable rate of coding accuracy (0.89). In addition, pairwise Pearson-product correlations among raters indicated that coding misses did not follow a systematic pattern for any variable (r = −.10 to .65), and thus there were no significant variations in coding among research team members. After pilot coding, we met to discuss areas of coding misses to ensure understanding of the final coding frame.
For the main coding phase, we worked in pairs and divided the sample equally for independent and consensus coding. Upon completion of consensus coding of the entire sample, we extracted 29 keywords describing the Whiteness topics discussed in the articles. Bayne and Hays reviewed the 29 independent topics and collapsed the topics into eight larger themes. To identify themes across the key findings, Bayne and Harness reviewed 125 independent statements based on coder summaries of article findings, and through independent and consensus coding collapsed statements to yield three main themes.
Results
Article Characteristics
We focused on several article characteristics (Research Question 1): article type (conceptual, quantitative, qualitative); number of relevant articles per journal outlet; the relationship between journal outlet and article type; and frequency of Whiteness topics within and across journal outlets. Of the 24 national peer-reviewed counseling journals, eight journals (33.3%) contained publications that met inclusion criteria (i.e., contained keywords for Whiteness from our search criteria and focused specifically on WRI). The number of publications in those journals ranged from 1 to 24 (M = 2.5; Mdn = 7.88; SD = 10.15) and are listed in order of frequency in Table 2). There was not a significant relationship between the journal outlet and article type (i.e., quantitative, qualitative, conceptual) for this topic (r = 0.04, p = .39).
Table 2
Articles Addressing Whiteness and Associated Keywords in National Peer-Reviewed Counseling Journals
| Journal |
Articles Addressing Whiteness |
Percent of Total Sample |
| Journal of Counseling & Development |
24 |
38.1% |
| Journal of Multicultural Counseling and Development |
24 |
38.1% |
| Counselor Education and Supervision |
7 |
11.1% |
| The Journal of Humanistic Counseling |
3 |
4.8% |
| Journal of Mental Health Counseling |
2 |
3.2% |
| Counseling and Values |
1 |
1.6% |
| The Family Journal |
1 |
1.6% |
| Journal of Creativity in Mental Health |
1 |
1.6% |
| Adultspan Journal |
0 |
0% |
| The Career Development Quarterly |
0 |
0% |
| Counseling Outcome Research and Evaluation |
0 |
0% |
| Journal for Social Action in Counseling and Psychology |
0 |
0% |
| The Journal for Specialists in Group Work |
0 |
0% |
| Journal of Addictions & Offender Counseling |
0 |
0% |
| Journal of Child and Adolescent Counseling |
0 |
0% |
| Journal of College Counseling |
0 |
0% |
| Journal of Counselor Leadership and Advocacy |
0 |
0% |
| Journal of Employment Counseling |
0 |
0% |
| Journal of LGBTQ Issues in Counseling |
0 |
0% |
| Journal of Military and Government Counseling |
0 |
0% |
Measurement and Evaluation in Counseling and
Development |
0 |
0% |
| Professional School Counseling |
0 |
0% |
| Rehabilitation Counseling Bulletin |
0 |
0% |
| The Professional Counselor |
0 |
0% |
| Professional School Counseling |
0 |
0% |
Additionally, we identified eight themes of topics discussed within counseling research on Whiteness (see Table 3). For qualitative research, the three most frequently addressed topics were theory development, intrapsychic variables, and multicultural counseling competency (MCC). The most frequent topics discussed in theoretical articles were theory development, counselor preparation, Whiteness and WRI expression, cultural identity development, and counseling process.
Table 3
Themes in Topics Discussed Within Whiteness and WRI Articles
| Theme |
Description |
N
% |
Quant
n / % |
Qual
n / % |
Theory
n / % |
Examples |
| Whiteness and WRI Expression |
Attitudes and knowledge related to WRI and Whiteness constructs, with some (n = 5) examining pre–posttest changes
|
43
68.3% |
32 74.4% |
3
7.0% |
8
18.6% |
WRI attitudes, color-blind racial attitudes, racism and responses, White privilege and responses, and developmental considerations
|
| Cultural Identity Development |
Cultural identities and developmental processes outside of race
|
27
42.9% |
21
77.8% |
1
3.7% |
5
18.5% |
Ethnic identity, womanist identity, cultural demographics such as gender and age
|
| Counselor Preparation |
Training implications, with some presenting training intervention findings (n = 6)
|
23
36.5% |
17
73.9% |
1
4.3% |
5
21.8% |
Pedagogy, training interventions, and supervision process and outcome
|
| Theory Development |
Development or expansion of theoretical concepts |
18
28.6% |
5
27.8% |
5
27.8% |
8
44.4% |
White racial consciousness versus WRI, prominent responses to White privilege, psychological dispositions of White racism
|
| Multicultural Counseling Competency |
Measurements of perceived multicultural counseling competency
|
12
19.0% |
10
83.3% |
2
16.7% |
0
0.0% |
Perceived competency,
link with WRI |
| Counseling Process |
Counseling process and outcome variables
|
11
17.5% |
8
72.7% |
1
9.1% |
2
18.2% |
Client perceptions, working alliance, and clinical applications
|
| Intrapsychic Variables |
Affective and cognitive components that influence Whiteness and WRI
|
11
17.5% |
8
72.7% |
2
18.2% |
1
9.1% |
Personality variables, cognitive development, ego development
|
| Assessment Characteristics |
Development and/or critique of Whiteness and WRI measurements
|
9
14.3% |
8
88.9% |
0
0.0% |
1
11.1% |
Limitations of WRI scales, development of White privilege awareness scales |
| Totala |
|
154
|
111
72.1% |
15
9.7% |
30
19.5% |
|
Note. Quant = quantitative research articles; Qual = qualitative research articles; Theory = theoretical articles.
aPercentage total exceeds 100% because of rounding and/or topic overlap between articles.
Methodological Features
To address Research Question 2, we explored the methodological features of articles. These features included sample composition, research design, data sources, and limitations as reported within each empirical article (n = 46).
Sample Composition
For the 45 studies providing information about the racial/ethnic composition of their samples, White individuals accounted for a mean of 91% of total participants (range = 55%–100%; SD = 14). An average of 14% Black (SD = 6.7), 7.1% Latinx (SD = 4.7), 5.4% Asian (SD = 2.3), and less than 5% each of multiracial, Arab, and Native American respondents were included across the samples. Of studies reporting gender (n = 44), women accounted for an average of 68% of total participants (range = 33–100; SD = 14.7), and men accounted for 31% of total samples (range = 12–67; SD = 14). The age of participants, reported in 71.7% of the empirical studies, ranged from 16 to 81 (M = 29, SD = 8.2).
Of the 61 independent samples across the articles, a majority focused on student populations, with master’s trainees (n = 20, 32.8%), undergraduate students (n = 14, 21.9%), and doctoral trainees (n = 10, 16.4%) representing over 70% of the sample. The remainder of the samples included practitioners (n = 8, 13.1%), unspecified samples (n = 3, 4.9%), university educators (n = 2, 3.3%), educational specialist trainees (n = 2, 3.3%), site supervisors (n = 1, 1.6%), and general population adult samples (n = 1, 1.6%). The target audience of the articles (N = 63) focused primarily on counselor trainees (n = 34, 49.3%) or clients in agency/practice settings (n = 12, 17.4%). Other audiences included practitioners (n = 9, 13%), researchers (n = 3, 4.3%), general population (n = 6, 8.7%), counselor educators (n = 1, 1.4%), and general university personnel (n = 1, 1.4%).
Research Design and Data Sources
Of the 38 quantitative articles, 10 (26.3%) included an intervention as part of the research design. The majority employed a correlational design (n = 27, 71.1%), with the remainder consisting of four (10.5%) descriptive, four (10.5%) quasi-experimental, one (2.6%) ex post facto/causal comparative, one (2.6%) pre-experimental, and one (2.6%) true experimental design. In recruiting and selecting samples, most researchers used convenience sampling (n = 27, 57.4%), while the rest used purposive (n = 12, 31.6%), simple random (n = 5, 10.6%), stratified (n = 2, 4.3%), and homogenous (n = 1, 2.1%) sampling methods.
Regarding study instrumentation, 37 quantitative studies utilized self-report forced-choice surveys, with one study employing a combination of forced-choice and open-ended question surveys. Across the 38 quantitative studies, 13 of 50 (26%) assessments were used more than once. The most frequently used assessment was the White Racial Identity Attitudes Scale (n = 24; Helms & Carter, 1990). The 50 assessments purported to measure the following targeted variables: race/racial identity/racism (n = 17, 34%); MCC (n = 9, 18%); cultural identity (n = 6, 12%); counseling process and outcome (n = 5, 10%); social desirability (n = 2, 4%); and other variables such as personality, anxiety, and ego development (n = 11, 22%). Finally, data analysis procedures included ANOVA/MANOVA (n = 25, 30.9%), correlation (n = 23, 28.4%), regression (n = 17, 21%), t-tests (n = 7, 8.6%), descriptive (n = 5, 6.2%), exploratory factor analysis (n = 1, 1.2%), confirmatory factor analysis (n = 1, 1.2%), SEM/path analysis (n = 1, 1.2%), and cluster analysis (n = 1, 1.2%).
We identified the research traditions of the eight qualitative studies as follows: phenomenology (n = 3, 37.5%), grounded theory (n = 2, 25%), and naturalistic inquiry (n = 1, 12.5%); two were unspecified (25%). The most common qualitative recruitment method was criterion sampling (n = 5, 62.5%), followed by convenience (n = 3, 37.5%), homogenous (n = 2, 25%), snowball/chain (n = 2, 25%), intensity (n = 2, 25%), and stratified purposeful (n = 1, 12.5%) sampling procedures. (Several studies used multiple recruitment methods, resulting in totals greater than 100%.) There were 12 data sources reported across the eight qualitative studies, falling into the following categories: individual interviews (n = 7, 58.3%), focus group interviews (n = 2, 16.7%), artifacts/documents (n = 2, 16.7%), and observations (n = 1, 8.3%). Trustworthiness strategies included prolonged engagement (n = 7, 13.7%); use of a research team (n = 6, 11.8%); researcher reflexivity, triangulation of data sources, thick description, and simultaneous data collection and analysis (n = 5 each, 9.8%); peer debriefing, audit trail, and member checking (n = 4 each, 7.8%); theory development (n = 3, 5.9%); and one each (2%) of external auditor, memos and/or field notes, and persistent observation.
Limitations Within Sampled Studies
Of the 46 empirical studies, 44 (95.7%) reported limitations. Limitations included design issues related to sampling/generalizability (n = 38, 82.6%); self-report/social desirability (n = 23, 50.0%); instrumentation (n = 20, 43.5%); research design concerns related to the ability to directly measure a variable of interest (e.g., clinical work, training activities; n = 7, 15.2%); experimenter/researcher effects (n = 3, 6.5%); use of less sophisticated statistical methods (n = 3, 6.5%); and use of an analogue design (n = 2, 4.3%). Within identified limitations, researchers most often cited limited generalizability with regard to sample composition (i.e., lack of diversity, small sample sizes, homogenous samples). Social desirability was noted as a potential limitation given the nature of the topics (i.e., racism, prejudice, privilege). Instrumentation issues pertained to weak reliability for samples, limited validity evidence, and disadvantages of self-administration. Researchers also acknowledged the difficulty of conceptualizing WRI constructs as distinct, noting the multidimensional nature of WRI and the challenge in discriminating between complex constructs.
Key Findings
There were three main categories of key findings. The largest category (i.e., 51 codes) consisted of identification of correlates and predictors of Whiteness/White racial identity. Findings related to gender and WRI were mixed, with several articles (n = 7) noting differences in WRI stages among men and women (i.e., women more frequently endorsing Contact and Pseudo-Independent stages, men more frequently endorsing Disintegration and Reintegration), and others determining gender differences were not significant in predicting WRI (n = 2). Additional findings included significant positive correlations and predictive effects between WRI, racism, MCC, personality variables (i.e., Openness linked with higher WRI and Neuroticism linked with lower WRI), and working alliance. Other constructs, such as ego defenses, emotional states, social–cognitive maturity, fear, and religious orientation, also demonstrated significant alignment with WRI stages. White guilt, the impact of personal relationships with communities of color, and lower levels of race salience (i.e., race essentialism) were also linked to Whiteness.
The next largest category (i.e., 32 codes) related to critiques of White racial identity models and measures. Most of the conceptual articles focused in some way on this category, often criticizing WRI models as subjective and lacking in complexity, or critiquing WRI measurement and previous research because of issues of reliability and validity. Several stressed caution for interpreting WRI according to existing models, suggesting a more nuanced approach of contextualizing individuals and accounting for within-group variation. Empirical articles also suggested that achieving and maintaining higher levels of WRI, particularly anti-racist identities and attitudes, may be more difficult than originally conceptualized and may require levels of engagement that are difficult to maintain in a racist society.
Training implications and impact (i.e., 24 codes), noted within empirical and conceptual studies, included tips for addressing Whiteness in counselor education (e.g., offering courses focused on Whiteness and anti-racism) and in supervision (e.g., openly discussing race, privilege, and oppression; matching supervisors and supervisees by racial identity when possible). Empirical studies noted mixed improvement in WRI stages and MCC as a result of both general progression through a counselor training program as well as specific multicultural training: Training was linked to increased White guilt and privilege awareness (n = 15), though others did not find significant effects of training (n = 2). Conceptual articles emphasized focusing training on anti-racist development. Collectively, these findings and subsequent implications encourage further research and reflection on the correlates of WRI and MCC, factors facilitating growth, and ways to improve research and measurement to enhance critical engagement with these topics.
Discussion and Implications
In this content analysis of 63 articles covering a 35-year period across eight national counseling journals, we found that a third of counseling journals featured scholarship specifically related to Whiteness, with the Journal of Counseling & Development and the Journal of Multicultural Counseling and Development accounting for more than 76% of the total sampling units. The majority of the articles were quantitative, followed by theoretical and qualitative articles. Topical focus was centered on correlates of Whiteness with variables such as racism and color-blindness, other non-racial components of cultural identity, training implications, and theory development (see Table 3). Interestingly, many Whiteness constructs discussed in the general literature (e.g., White fragility, modern racism, psychosocial costs) were not addressed in counseling scholarship; the primary constructs discussed were WRI and White privilege.
The sample composition across empirical studies was primarily White and female with a mean age in the late 20s and with undergraduate students comprising on average 22% of the article samples. In addition, practitioners, site supervisors, the general population, and EdS trainees only comprised between 1.6% and 13.1% of the samples. Schooley et al. (2019) cautioned against the overuse of undergraduate students when measuring Whiteness constructs because of the complexities and situational influences of WRI development, and this warning seems to hold relevance for counseling scholarship. Methodological selection mirrored previously found patterns in counseling research (Wester et al., 2013), with most quantitative studies relying upon convenience sampling and correlational design with ANOVA/MANOVA as the selected statistical analyses. In addition, 26.3% of the articles included an intervention. For the qualitative studies, the most frequently used tradition and method was phenomenology and individual interviews.
Overall, findings from the sample support theoretically consistent relationships with Whiteness and/or WRI, including their predictive nature of MCC, social desirability, working alliance, and lower race salience. However, findings were mixed on the role of gender and MCC in connection to a training intervention. Additionally, some studies in our sample critiqued WRI models, cautioning against oversimplification of a complex model and highlighting issues in measurement due to subjectivity and social desirability. This critique aligns with previous researchers who have suggested that WRI is more complex than previously indicated (see Helms, 1984, 1990, 2017). WRI may be highly situational and affected by within-group differences and internal and external factors that complicate accuracy in assessment and clinical application. Of particular concern in previous research is the ability to properly conceptualize and measure the Contact and Autonomy stages (Carter et al., 2004). Both stages have demonstrated difficulty in assessment due to an individual’s lack of awareness of personal racism at each stage (Carter et al., 2004; Rowe, 2006). The Autonomy status, in particular, could be impacted by what DiAngelo (2018) referred to as “progressive” or “liberal” Whiteness, in which efforts are more focused on maintaining a positive self-image than engaging with people of color in meaningful ways (Helms, 2017). Therefore, although there are some consistencies and corroborations within counseling literature and other scholarship on Whiteness, the critiques and complexities of the topic suggest further inquiry is needed.
Implications for Counseling Research
Based on our findings, we note several directions for future research. First, future studies could include greater demographic diversity as well as more participation from counselor educators, site supervisors, practitioners, and clients across the ACES regions. Including counselor educators in empirical studies can highlight aspects of Whiteness that influence their approach to training and scholarship. With regard to increasing scholarship involving site supervisors, practitioners, and clients, Hays et al. (2019) highlighted several strategies for recruiting sites to participate as co-researchers as well as obtaining clinical samples through strengthening research–practice partnerships. Additionally, recruiting more heterogenous samples—in terms of sample composition and demographics—could provide much-needed psychometrics for available measures as well as refined operationalization of Whiteness. Additional research can further explore individual correlates and predictors to enhance counselor training, supervision, and practice by identifying opportunities for assessment and development at each level of WRI.
Second, most reports of empirical studies in our sample noted concerns with sampling and generalizability, social desirability, and instrumentation. Given these concerns, researchers are to be cautious about the interpretation and application of previous study findings using the White Racial Identity Attitudes Scale (WRIAS). In particular, scholarship within counseling and related disciplines reveals substantial psychometric concerns with the WRIAS’s Contact and Autonomy stages (Behrens, 1997; Carter et al., 2004; Hays et al., 2008; Malott et al., 2015). The complex nature of assessing WRI-related behaviors that may run counter to a person’s intentions (Carter et al., 2004; DiAngelo, 2018) needs further study. Additionally, given the concerns with self-report measures due to socially desirable responses, it seems problematic that none of the current quantitative articles used performance measures, which could help to compare self-report with behaviors and client outcomes. Future research can therefore emphasize behavioral assessments and clinical outcomes to correlate findings with WRI models.
Third, the use of intervention-based research could explore core components of instruction, awareness, and experience to identify facilitative strategies for enhancing WRI in both counselor trainees and within client populations. Because White people are negatively impacted by racism and restricted racial identity, encouraging growth in WRI in both clinical and educational settings can be a means of promoting wellness for counselors and clients. Thus, research is needed that can carefully examine the complexities of WRI development and address difficulties in assessment due to defensive strategies such as White fragility and lack of insight into the various intra- and interpersonal manifestations of racism.
Finally, though the research examined within this analysis advances the application of WRI theory and practices within the counseling profession, opportunities exist for further exploration of WRI development and the intersection with multiple constructs of Whiteness discussed across the helping professions (e.g., White fragility, color-blindness, race essentialism). The articles analyzed for the present study reflect an assumption that more advanced WRI attitudes, lower color-blind attitudes, greater anti-racism attitudes, and greater awareness of White privilege can yield more positive clinical outcomes. However, given some of the aforementioned limitations, this assumption has not been empirically tested in counseling. Because clients’ and counselors’ affective, cognitive, and behavioral responses to Whiteness can affect the counseling relationship, process, and treatment selection and outcomes (Helms, 1984, 2017), it is imperative that this assumption is properly tested. Empirical and conceptual work should therefore further explore Whiteness constructs to elucidate how White attitudes and behaviors at each stage function for self-protection and move toward aspirational goals of anti-racism and ethical and competent clinical application.
Implications for Counseling Practice, Training, and Supervision
In addition to future research directions related to Whiteness and WRI, findings allow for recommendations for counseling practice, training, and supervision. For example, extant literature emphasizes the importance of racial self-awareness, including an understanding of White privilege and racism. The practice of centering discussions on the harmful impacts of Whiteness, as well as the various ways Whiteness can manifest in therapeutic spaces, allows counselors to examine racial development within and around themselves. White counselors who are able to reflect on their own racial privileges and begin the conversation (i.e., broaching) about racial differences can increase the working alliance quality with clients of color (Burkard et al., 1999; Day-Vines et al., 2007; Helms, 1990).
Furthermore, counselors should heed the themes within the key findings of our sample, following recommendations for taking a broad, contextual, and critical view when understanding and applying WRI models. Counselors can be encouraged to view WRI as Helms (2019) intended—as a broad and complex interplay of relational dynamics, connected with other Whiteness constructs, and following an intentional progression toward anti-racism and social justice. Counselors should take particular caution with viewing the Autonomy stage as a point of arrival, given conflicting findings and the possibility that White people in higher stages may engage in behaviors to assuage guilt rather than to be true allies for people of color. The Helms model associates such attitudes and actions with the Pseudo-Independence stage (Helms, 2019), yet findings cast some doubt as to whether White people who score within the Autonomy stage have actually reached that level of WRI development. Counselors should thus interpret assessment scores with caution and ensure they are also assessing their own level of development and subsequent impact on others through continued and honest reflection and positive engagement in cross-racial relationships.
Regarding training, course content focusing on exploring Whiteness, WRI, and other racial identities through use of an anti-racism training model integrated throughout the curriculum can help students become comfortable with potential cross-racial conflicts and broaching Whiteness (Malott et al., 2015). The Council for Accreditation of Counseling and Related Educational Programs (CACREP) can similarly stress these desired student outcomes when updating standards for counselor training, specifically mentioning the importance of WRI as part of multicultural preparation. It is imperative to begin conversations about race and identity development to create opportunities for growth for any student who may be challenged with their racial identity and how it might impact their clients. Furthermore, counselor educators and supervisors can ask counselors in training to brainstorm how counseling and other services might be developed or adapted in order to contribute toward anti-racist goals and outcomes.
Limitations
The current findings are to be interpreted with caution, as the scope of our study presents some limitations. First, we chose to limit inclusion criteria to national peer-reviewed counseling journals in order to focus on scholarship within professional counseling journals, and therefore our results cannot be generalized to similar disciplines, dissertation research, book chapters, or more localized outlets such as state journals. Our coding sheet was also limited in the information it collected, including sample demographics. Though not all studies included the same demographic variables, we did not capture specifics related to a sample’s political affiliation, religious orientation, ability status, socioeconomic status, diversity exposure, or other details that could have better conceptualized the samples and findings. Additionally, we limited our search to the keywords related to Whiteness that we had identified in related literature but may have missed studies employing constructs outside of our search criteria. Our own identities as White academics may also have influenced the coding process as well as the subsequent interpretation of findings.
Conclusion
This content analysis provides a snapshot of Whiteness scholarship conducted in the counseling profession during a 35-year period. Patterns of study design and analysis were noted, and key findings were summarized to provide context and comparison within the broader literature. Identified themes and relationships highlight theoretically consistent findings for some Whiteness constructs, as well as showcase research gaps that need to be addressed before counselors can apply findings to practice and training. Finally, this content analysis demonstrates the need for a greater understanding of Whiteness and related constructs in counselor education, training, and practice.
Conflict of Interest and Funding Disclosure
The authors reported no conflict of interest
or funding contributions for the development
of this manuscript.
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The authors would like to thank Cheolwoo Park for his invaluable assistance in this study. Hannah B. Bayne, PhD, LMHC (FL), LPC (VA), is an assistant professor at the University of Florida. Danica G. Hays, PhD, is a dean and professor at the University of Nevada Las Vegas. Luke Harness is a doctoral student at the University of Florida. Brianna Kane is a doctoral student at the University of Florida. Harness and Kane contributed equally to the project and share third authorship. Correspondence may be addressed to Hannah B. Bayne, 140 Norman Hall, Gainesville, FL 32611, hbayne@coe.ufl.edu.
Feb 26, 2021 | Volume 11 - Issue 1
Ryan M. Cook, Heather J. Fye, Janelle L. Jones, Eric R. Baltrinic
This study explored the self-reported symptoms of burnout in a sample of 246 novice professional counselors. The authors inductively analyzed 1,205 discrete units using content analysis, yielding 12 categories and related subcategories. Many emergent categories aligned with existing conceptualizations of burnout, while other categories offered new insights into how burnout manifested for novice professional counselors. Informed by these findings, the authors implore counseling scholars to consider, in their conceptualization of counselor burnout, a wide range of burnout symptoms, including those that were frequently endorsed symptoms (e.g., negative emotional experience, fatigue and tiredness, unfulfilled in counseling work) as well as less commonly endorsed symptoms (e.g., negative coping strategies, questions of one’s career choice, psychological distress). Implications for novice professional counselors and supervisors are offered, including a discussion about counselors’ experiences of burnout to ensure they are providing ethical services to their clients.
Keywords: novice professional counselors, burnout, content analysis, conceptualization, symptoms
The term high-touch professions refers to the fields that require professionals to provide ongoing and intense emotional services to clients (Maslach & Leiter, 2016). Although such work can be highly rewarding, these professionals are also at risk for burnout (Bardhoshi et al., 2019). In counseling, professionals are called to provide ongoing and intensive mental health services to clients with trauma histories (Foreman, 2018) and complicated needs (Freadling & Foss-Kelly, 2014). The risk of burnout is exacerbated by the fact that counselors often work in professional environments that are highly demanding and lack resources to serve their clients (Freadling & Foss-Kelly, 2014; Maslach & Leiter, 2016).
The consequences of burnout for counselors and clients can be considerable (Bardhoshi et al., 2019). Potential impacts include a decline in counselors’ self-care, strain of personal relationships, and damage to their overall emotional health (Bardhoshi et al., 2019; Cook et al., 2020; Maslach & Leiter, 2016). Unaddressed burnout might also lead to more serious professional issues like impairment (e.g., substance use, mental illness, personal crisis, or illness; Lawson et al., 2007). Thus, self-monitoring symptoms of burnout is of the utmost importance for counselors to ensure they are providing ethical services to their clients (American Counseling Association [ACA], 2014).
Although burnout is an occupational risk to all counselors (e.g., Bardhoshi et al., 2019; J. Lee et al., 2011; S. M. Lee et al., 2007), novice professional counselors may be especially vulnerable to burnout (Thompson et al., 2014; Westwood et al., 2017; Yang & Hayes, 2020). In the current study, we define novice professional counselors as those who are currently engaged in supervision for licensure in their respective states. Novice professional counselors face a multitude of challenges, such as managing large caseloads, working long hours for low wages, and receiving limited financial support for client care (Freadling & Foss-Kelly, 2014). Even though their professional competencies are still developing (Freadling & Foss-Kelly, 2014; Rønnestad & Skovholt, 2013), these counselors receive minimal direct oversight from a supervisor (Cook & Sackett, 2018). However, to date, no study has exclusively examined novice professional counselors’ descriptions of their experiences of burnout. Input from these counselors is important to understand their specific issues of counselor burnout. Other helping professionals have studied a rich context of practitioners’ burnout experiences. For example, Warren et al. (2012) examined open-ended text responses of people who treated clients with eating disorders and found nuanced contributors to burnout among these providers, including patient descriptors (e.g., personality, engagement in treatment), work-related descriptors (e.g., excessive work hours, inadequate resources), and therapist descriptors (e.g., negative emotional response, self-care). Accordingly, we employed a similar approach to examine the open-ended qualitative responses of 246 novice professional counselors’ self-reported symptoms of burnout.
Conceptual Framework of Burnout
Burnout is defined as “a psychological syndrome emerging as a prolonged response to chronic interpersonal stressors on the job” (Maslach & Leiter, 2016, p. 103). Although there are multiple conceptual frameworks of burnout (e.g., Kristensen et al., 2005; S. M. Lee et al., 2007; Maslach & Jackson, 1981; Shirom & Melamed, 2006; Stamm, 2010), the predominant model used to study burnout is the one developed by Maslach and Jackson (1981), which is measured by the Maslach Burnout Inventory (MBI). Informed by qualitative research, Maslach and Jackson (1981) developed the MBI and conceptualized burnout for all human service professionals as a three-dimensional model consisting of Exhaustion, Depersonalization, and Decreased Personal Accomplishment. Exhaustion is signaled by emotional fatigue, loss of energy, or feeling drained. Depersonalization is characterized by cynicism or negative attitudes toward clients, while Decreased Personal Accomplishment is indicated by a lack of fulfillment in one’s work or feeling ineffective. This conceptualization of burnout has been used to develop several versions of the MBI that are targeted for different professions (e.g., human services, education) and for professionals in general.
Despite the prominence of the MBI model in the burnout literature (Koutsimani et al., 2019), other scholars (e.g., Kristensen et al., 2005; Shirom & Melamed, 2006) have argued for a different conceptualization of burnout, noting several shortcomings of Maslach and Jackson’s (1981) three-dimensional model. Shirom and Melamed (2006) criticized the lack of theoretical framework of the MBI and noted that the factors were derived via factor analysis. They developed the Shirom-Melamed Burnout Measure (Shirom & Melamed, 2006), a measure informed by the Conservation of Resources theory (Hobfoll, 1989), which measures burnout as a depletion of physical, emotional, and cognitive resources using two subscales: Physical Fatigue and Cognitive Weariness.
Kristensen et al. (2005) also criticized the utility of the MBI for numerous reasons, including the lack of theoretical underpinnings of the instrument. Therefore, they developed the Copenhagen Burnout Inventory to capture burnout in professionals across disciplines, most notably human service professionals. From Kristensen et al.’s perspective, the underlying cause of burnout is physical and psychological exhaustion, which occurs across three domains: Personal Burnout (i.e., burnout that is attributable to the person themselves), Work-Related Burnout (i.e., burnout that is attributable to the workplace), and Client-Related Burnout (i.e., burnout that is attributable to their work with clients; Kristensen et al., 2005).
Stamm (2010) conceptualized the construct of professional quality of life for helping professionals, which included three dimensions: Compassion Satisfaction, Burnout, and Secondary Traumatic Stress. Burnout, as theorized by Stamm, is marked by feelings of hopelessness, frustration, and anger, as well as a belief that one’s own work is unhelpful to others, which results in a decline in professional performance. The experience of burnout may also be caused by an overburdening workload or working in an unsupportive environment (Stamm, 2010). Stamm’s model is reflected in the Professional Quality of Life Scale (ProQOL), and this instrument has been used by counseling scholars (e.g., Lambert & Lawson, 2013; Thompson et al., 2014).
A reason for variations in the conceptualization of burnout is that it manifests differently across professions (Maslach & Leiter, 2016). The only counseling-specific model of burnout is conceptualized by S. M. Lee et al. (2007), who developed the Counselor Burnout Inventory (CBI). The CBI was informed by the three dimensions of the MBI and additionally captured the unique work environment of professional counselors and its impact on their personal lives. As such, the CBI poses a five-dimensional model consisting of Exhaustion, Incompetence, Negative Work Environment, Devaluing Client, and Deterioration in Personal Life. In recent years, the CBI has been the instrument predominantly used by researchers to study counselor burnout (e.g., Bardhoshi et al., 2019; Fye et al., 2020; J. Lee et al., 2011).
The Current Study
J. Lee et al. (2011) noted the challenges of studying counselor burnout across diverse samples. They encouraged scholars to examine burnout within homogenous samples of counselors in order to offer more nuanced implications for each group. Prior scholarship (e.g., Freadling & Foss-Kelly, 2014; Thompson et al., 2014) suggested that novice professional counselors may be at risk of burnout, and despite the aforesaid vulnerabilities (e.g., low wages, work with high need clients, professional competency limitations), their self-reported manifestation of burnout symptoms have yet to be studied.
We acknowledge the critical importance of studying burnout in the profession of counseling. However, repeatedly relying on data from similar instruments to measure burnout may fail to capture new or relevant information about the phenomenon (Kristensen et al., 2005) for human service professionals (e.g., Maslach & Jackson, 1981) or professional counselors (e.g., S. M. Lee et al., 2007). Alternatively, content analysis, which focuses on the analysis of open-ended qualitative text (Krippendorff, 2013), may better capture the intricacies of burnout that could not be measured using quantitative instruments (e.g., Warren et al., 2012). Thus, we aimed to address the following research question: What are novice professional counselors’ self-reported symptoms of burnout?
Methodology
Participants
Participants in the current study were 246 postgraduate counselors who were currently receiving supervision for licensure. The age of participants ranged from 23 to 69, averaging 36.91 (SD = 10.15) years. The majority of participants identified as female (n = 195, 79.3%), while 22 participants identified as male (8.9%), four identified as non-binary (1.6%), nine indicated that they did not want to disclose their gender (3.7%), and 16 participants did not respond to the item (6.5%). The participants’ race/ethnicity was reported as follows: White (n = 186; 75.6%), Multiracial (n = 15, 6.1%), Latino/Hispanic (n = 7, 3.3%), Black (n = 6, 2.4%), Asian (n = 6, 2.4%), American Indian or Alaska Native (n = 3, 0.8%), Native Hawaiian or Pacific Islander (n = 1, 0.4%), and Other (n = 7, 3.3%), while 15 participants declined to respond to the item (6.1%). The self-reported race/ethnicity demographic information is comparable to all counselors in the profession, based on DataUSA (2018). The participants’ client caseload ranged from 1 to 650 (M = 41.88; Mdn = 30.0; SD = 53.74). On average, participants had worked as counselors for 5 years (Mdn = 3.3; SD = 4.87). The provided percentages may not total to 100 percent because of rounding and because participants were afforded the option to select more than one response.
Procedure
To answer our research question, we used data from a larger study of novice professional counselor burnout, which included both quantitative and qualitative data. After receiving IRB approval, we obtained lists of names and email addresses of counselors engaged in supervision for licensure from the licensing boards in seven states: Florida, Nebraska, New Mexico, Oregon, Utah, Washington, and Wisconsin. We aimed to recruit a nationally representative sample by purposefully choosing at least one state from each of the ACA regions. In addition, states were selected based upon our ability to obtain a list of counselors who were engaged in supervision for licensure from the respective licensure boards. We were able to survey at least one state from each ACA region except the North Atlantic Region. After removing invalid email addresses, we invited 6,874 potential participants by email to complete an online survey in Qualtrics. This survey was completed by 560 counselors, yielding a response rate of 8.15%. This response rate is consistent with other studies that employed a similar design (Gonzalez et al., 2020). All participants were asked, Do you believe you are currently experiencing symptoms of burnout?, to which participants responded (a) yes or (b) no. Participants who responded yes were then prompted with the direction, Describe your symptoms of burnout, using an open-ended text box, which did not have a character limit. A total of 246 participants (43.9%) responded yes and qualitatively described their symptoms of burnout. On average, participants provided 30.31 words (SD = 36.30). We answered our research question for the current study using only the qualitative data, which aligns with the American Psychological Association’s Journal Article Reporting Standards for Qualitative Research (JARS-Qual; Levitt et al., 2018).
Data Analysis
To answer our research question, we analyzed participants’ open-ended responses using content analysis, which allows for systematic and contextualized review of text data (Krippendorff, 2013). As recommended by Krippendorff (2013), we followed the steps of conducting content analysis: unitizing, sampling, recording, and reducing. We first separated the responses of the 246 participants into discrete units. For example, “feeling exhausted and back pain” was coded as two units: (a) feeling exhausted and (b) back pain. This process resulted in a total of 1,205 discrete units. We reduced our data into categories using an inductive approach, which allowed for new categories to emerge from the data without an a priori theory (Krippendorff, 2013). Although there are multiple conceptualizations of burnout (Maslach & Jackson, 1981; S. M. Lee et al., 2007) that could have informed our analysis (i.e., deductive approach; Krippendorff, 2013), we chose an inductive approach to capture the conceptualization of burnout for novice professional counselors—generating categories based on participants’ explanations of their own symptoms of burnout (Kondracki et al., 2002).
To that end, we developed a codebook by randomly selecting roughly 10% of the discrete units to code as a pretest. Our first and third authors, Ryan M. Cook and Janelle L. Jones, independently reviewed the discrete units, met to discuss and develop categories and corresponding definitions, and coded the pretest data together to enhance reliability. This process yielded a codebook that consisted of 12 categories. Cook and Jones then used the codebook (categories and definitions) to independently code the remaining 90% of the data across three rounds (i.e., 30% increments). After each round, Cook and Jones met to discuss discrepancies and to reach consensus on the final codes. The overall agreement between Cook and Jones was 97% and the interrater reliability was acceptable (Krippendorff α = .80; Krippendorff, 2013), which was calculated using ReCal2 (Freelon, 2013). At the end of the coding process, Cook and Jones reviewed their notes for each code and further organized them into subcategories based on commonalities. The second author, Heather J. Fye, served as the auditor (see Researcher Trustworthiness section) and reviewed the entire coding process.
Researcher Trustworthiness
The research team consisted of four members, three counselor educators and one counselor education and supervision doctoral student. The first and third authors, Cook and Jones, served as coders, while the second author, Fye, served as the auditor and the fourth author, Eric R. Baltrinic, served as a qualitative consultant. The counseling experience of the four authors ranged from 4 to 18 years, and the supervision experience of the authors ranged from 3 to 9 years. Cook, Fye, and Baltrinic are licensed professional counselors and three of the authors are credentialed as either a National Certified Counselor or Approved Clinical Supervisor.
We all acknowledged our personal experiences of burnout to some degree as practicing counselors as well as observing the consequences of burnout to our students and supervisees. All members of the research team had prior experience studying counselor burnout. Although these collective experiences enriched our understanding of the subject matter, we also attempted to bracket our assumptions and biases throughout the research process. To increase the trustworthiness of the coding process, the auditor, Fye, reviewed the codebook, categories and subcategories, discreteness, and two coders’ notes coding process after the pretest and rounds of coding. Fye provided feedback on the category definitions, coding process, and coding decisions during the analysis process.
Results
Using an inductive approach, 12 categories and related subcategories emerged from the 1,205 discrete self-reported symptoms of burnout. Full results, including the 12 categories and subcategories, as well as the frequencies of the categories and subcategories, are presented in the Appendix. We discuss each category in detail and provide illustrative examples of each category using direct participant quotes (Levitt et al., 2018).
Negative Emotional Experience
Of the 1,205 coded units, 218 units (18.1%) were coded into the category negative emotional experience. This category reflected participants’ descriptions of experiencing negative feelings related to their work as counselors (e.g., anxiety, depression, irritability) or unwanted negative emotions (e.g., crying spells). This category included 15 subcategories, and the units coded into these subcategories reflected the participants’ descriptions of a wide range of negative feelings. For example, one participant reported she was “struggling to feel happy,” while another participant shared that she “is carrying a heavy burden [that] no one understands or is aware of.” Some participants also reported crying spells. One participant shared she “has fits of crying,” while another reported she “[cries] in the bathroom at work.”
Fatigue and Tiredness
The category fatigue and tiredness was coded 195 times (16.2%) and included four subcategories. This category captured participants’ descriptions of feeling exhausted, fatigued, or tired. Units coded into this category included the participants’ indications that they feel exhausted, despite sleeping well. For example, one participant described feeling perpetually exhausted—“nothing recharges my batteries”— while another participant stated that her fatigue worsened as the week progressed: “[I feel] more and more exhausted throughout the week.”
Unfulfilled in Counseling Work
The category unfulfilled in counseling work captured the participants’ descriptions of no longer deriving joy at work, dread in going to work or completing work-related responsibilities, or lacking motivation to do work. This category was coded 140 times (11.6%) and subcategories included five subcategories. Avoidance of burdensome administrative responsibilities (e.g., paperwork) were commonly reported units that were captured in this category. For example, a participant noted “putting off doing notes.” Units also captured in this category reflected participants’ self-report of no longer feeling motivated or deriving joy from their work, which ultimately led some participants to stop seeking training. For instance, a participant described herself as “going through the motions at work,” and another added that she was no longer “motivated to improve [her] skills.”
Unhealthy Work Environment
Across all coded units, 128 units (10.6%) were coded in the category unhealthy work environment, which included 15 subcategories. This category captured participants’ descriptions of their work environment that contribute to a counselor experiencing burnout. For example, units captured in this category commonly described participants’ reports of working long hours with few or no breaks throughout the day, and participants feeling pressured to take on additional clients. Some participants described managing large client caseloads or caseloads with “high risk or high needs” clients. The units reflecting participants’ perceived lack of supervisor support were also coded into this category. For example, a participant noted that she was “scared to make a mistake or ask questions about doing my job,” while another participant described a supervisor as not “supportive or trustworthy.” Finally, units that signaled participants’ feelings of being inadequately compensated were coded into this category, such as this participant’s response: “I do not get paid enough for the work that I do.”
Physical Symptoms
The category physical symptoms reflected participants’ descriptions of physical ailments, physical manifestations of burnout (e.g., soreness, pain), physical illnesses, or physical descriptors (e.g., weight gain, weight loss). There were 107 coded units (8.9%) that referenced physical symptoms. The seven subcategories captured in this category reflected a wide range of physical ailments. The most commonly coded units were participants’ descriptions of headaches, illnesses, and weight changes, although some less commonly coded units reflected more serious physical and medical issues. For example, a participant noted, “I have TMJ [temporomandibular joint dysfunction] pain most days from clenching my jaw,” while another participant stated that she “recently began to have debilitating stomach symptoms, which were identified as small ulcerations.”
Negative Impact on Personal Interest or Self-Care
Across all coded units, 101 units (8.4%) were coded in the category negative impact on personal interest or self-care, which included eight subcategories. This category reflected the participants’ descriptions of reduced self-care or inability to engage in self-perceived healthy behaviors (e.g., cannot fall asleep), or lacking personal interest. Units coded in this category most commonly reflected participants’ experience of sleep issues—difficulty either falling asleep or staying asleep. Other units reflected participants’ lessening desire to engage in once-enjoyable activities. For example, one participant noted, “I find myself knowing that I need more time for play, rest, recovery, socializing, and personal interests, but [I am] feeling confused about how to fit that in.” Another participant described her self-care as unconstructive: “It often feels like no amount of self-care is helpful, which makes it more difficult to engage in any self-care.”
Self-Perceived Ineffectiveness as a Counselor
We coded 127 units (10.5%) into the category self-perceived ineffectiveness as a counselor, which included six subcategories. This category reflected the participants’ descriptions of their self-perceived decrease in self-efficacy as a counselor, difficulty in developing or maintaining therapeutic relationships with clients, decreased empathy toward clients, or questioning of their own abilities as counselors (e.g., ability to facilitate change). For example, one participant noted that she did not “have as much empathy for clients as before,” while another participant expressed, “I often feel like clients are being demanding and trying to waste my time.” Units coded into this category also reflected participants’ feelings of inadequacy or struggles to develop a meaningful professional relationship with clients. One participant stated that she must “reach very deep every morning for the presence of mind and spirit to pay close attention and to care deeply for each of these people.” Although less frequently coded, some units described participants’ feelings of compassion satisfaction or self-reported secondary traumatic stress. For example, one participant shared that she was “personally disturbed” by her work.
Cognitive Impairment
Across all coded units, 75 units (6.2%) were coded in the category cognitive impairment, and this category included seven subcategories. The units coded into this category reflected the participants’ descriptions of their cognitive abilities being negatively impacted in different ways. For example, one participant described “feeling like I am in a fog at work,” while another participant shared that she found it “hard to concentrate at work.” Some units captured in this category reflected participants’ rumination of clients or work; for example, one participant noted “shifting my attention to ruminating about dropouts at times, when I need to be present with a [current] client.”
Negative Impact on Personal Relationships
The category negative impact on personal relationships captured 63 coded units (5.2%). Participants’ descriptions of strained relationships as a result of their self-reported burnout were coded into this category, which included three subcategories. For example, one participant described “not [feeling] available for emotional connects with others in my personal life,” while another participant said that they “lashed out sometimes at family members after a stressful day of work.” Another example of the negative impact on personal relationships was a participant’s description of “struggling to find joy at home with my wife and two kids.”
Negative Coping Strategies
We coded 22 units (1.8%) into the category negative coping strategies. This category included five subcategories that captured participants’ descriptions of using unhealthy or negative coping strategies to cope with burnout. Units coded into this category described participants’ use of a variety of negative coping strategies. For example, participants noted an increase in “alcohol consumption” or “smoking.” Relatedly, a participant expressed one of her coping strategies was “the excessive use of Netflix,” while another participant stated that she was “not eating or eating way too much.”
Questioning of One’s Career Choice
Units that reflected participants’ descriptions of the questioning of one’s career choice and potential or planned desire to leave the profession were coded into the category questioning of one’s career choice. There were 21 coded units (1.7%) for this category, which included two subcategories. An example of units coded into this category is a participant who stated that she has “thoughts that I have made a mistake in pursuing this line of work.” Another participant shared feelings of “wanting to quit [my] job.” Some units coded into this category captured participants who were already making plans to leave their jobs or the field. For example, one participant shared that she “recently put in [my] notice at agency,” while another participant stated plans to leave the profession “within one year.”
Psychological Distress
The least number of units were coded into the category psychological distress, which was coded eight times (0.7%) and included two subcategories. This category captured the participants’ discussions of a mental health diagnosis, which they attributed as a symptom of burnout, or suicidal ideations. For example, one participant shared, “I have been diagnosed with major depressive disorder and my job is a factor,” while another participant stated, “I sought therapy for myself and I had to increase my anti-depressant medication.” Finally, two participants endorsed experiencing suicidal ideations at some previous point related to their burnout.
Discussion
The content analysis yielded insights of self-reported burnout symptoms by capturing the phenomenon in novice professional counselors’ own words. Many of the 12 categories that emerged from the data generally aligned with prior conceptualizations of burnout for human service professionals (e.g., Maslach & Jackson, 1981) and counselors (S. M. Lee et al., 2007), while some categories provided novel insights into how burnout manifested in this sample. Further, we observed trends in common self-reported descriptors of burnout for novice professional counselors (negative emotional experiences) to the least commonly endorsed descriptors (psychological distress). We assert that these findings enrich the scholarly understanding of the burnout phenomenon in novice professional counselors.
Discussion of the Conceptual Framework of Burnout
Maslach and Jackson (1981) emphasized in their earlier work that exhaustion and fatigue are core features of burnout, and the category of fatigue and tiredness was the second most commonly coded category (16.2% of all coded units) in our study. Our findings reaffirm exhaustion (or fatigue or tiredness) as a central feature of burnout, and specifically self-reported symptoms of burnout in novice professional counselors. Scholars (e.g., Kristensen et al., 2005; Maslach & Jackson, 1981; Shirom & Melamed, 2006) have conceptualized that the interconnectedness between the emotional, physical, and psychological fatigue of burnout is different. Shirom and Melamed (2006) distinguished emotional, physical, and cognitive resources, while Kristensen et al. (2005) made no distinction between physical and psychological exhaustion. Stamm (2010) also viewed exhaustion as a feature of burnout but did not specify how this exhaustion manifested in human service professionals. In the current study, we chose to distinguish emotional, physical, and cognitive symptoms to best capture the participants’ experiences in their own words (Kondracki et al., 2002). However, we found supportive evidence that novice professional counselors’ burnout included emotional, physical, and cognitive symptoms. Our findings suggest that all three components should be examined to adequately capture this phenomenon.
The category negative emotional experience, which reflected participants’ reports of experiencing negative feelings associated with their work as counselors, was the most commonly endorsed symptom of burnout (18.1% of all coded units). In other models of burnout (e.g., Kristensen et al., 2005; Shirom & Melamed, 2006), feelings or emotions are most often conceptualized as emotional exhaustion, emotional fatigue, or emotional distress. However, the participants in the current study richly described their negative emotional experiences, as captured in the subcategories, with irritability, anxiety, depression, and stress being the most commonly endorsed negative emotions. These findings most closely align with Stamm’s (2010) conceptualization of burnout, which suggested that feelings of hopelessness, anger, frustration, and depression are evidence of burnout. Relatedly, a similar content analysis performed with eating disorder treatment professionals also found that their participants most frequently described emotional distress (61% of their sample, n = 94) as a way in which their worry for clients impacts their personal and professional lives (Warren et al., 2012). Scholars (e.g., Maslach & Leiter, 2016) have postulated about the relationship between workplace burnout and affectional distress (e.g., depression, anxiety, stress); however, such an investigation has yet to be conducted in the profession of counseling. Our findings suggest that novice professional counselors commonly describe their manifestation of burnout as an emotional experience, and as such, this represents a gap in the current conceptualization of counselor burnout.
Two other categories captured in the current study were physical symptoms and cognitive impairment symptoms. Physical symptoms were coded for 8.9% of the 1,205 units coded, while cognitive symptoms were coded for 6.1% of all coded units. In the existing burnout literature (e.g., Maslach & Jackson, 1981; Shirom & Melamed, 2006), physical symptoms of burnout often paralleled or referenced fatigue or exhaustion. For example, in Shirom and Melamed’s (2006) model, physical symptoms were reflective of feeling physically tired. However, in the current study, participants most commonly described their physical symptoms as back pain, illnesses, and headaches. This finding aligns with Kaeding et al. (2017), who found that counseling and clinical psychology trainees attributed their back and neck pain to sitting for long periods of time. We assert that specific physical symptoms may have been inadequately captured by the existing models of burnout.
Relatedly, Shirom and Melamed (2006) suggested that psychological fatigue or psychological manifestations of burnout should be distinguished from those of emotional and physical symptoms, while Kristensen et al. (2005) made no such distinctions. The participants in the current study described numerous cognitive manifestations of burnout, and the most commonly coded subcategories included concentration or focus, rumination, and forgetfulness. These self-reported symptoms closely align with the model of Shirom and Melamed, which describes psychological fatigue as an inability to think clearly and difficulty processing one’s own thoughts. Further, Kristensen et al. described one symptom of personal burnout as being at risk of becoming ill. However, no items of cognitive impairment or worsening cognitive abilities are included in the CBI. Informed by our findings, descriptors of cognitive impairment should be considered to understand burnout in novice professional counselors.
Two of the three dimensions of burnout as conceptualized by Maslach and Jackson (1981) were Depersonalization (i.e., cynicism or negative attitudes toward clients) and Decreased Personal Accomplishment (i.e., diminished fulfillment in one’s work or feeling ineffective in their work). These two dimensions are similar to Stamm’s (2010) conceptualization of burnout for human service professionals, which included the features of perceiving that one’s own work is unhelpful and no longer enjoying the work. In the current study, two of the categories that emerged closely aligned with these conceptualizations of burnout: unfulfilled in counseling work (11.6% of all coded units) and self-perceived ineffectiveness as a counselor (10.5% of all coded units). Collectively, these two categories and related subcategories provide rich descriptors of how novice professional counselors experience their own depersonalization and diminished personal accomplishment (Maslach & Jackson, 1981).
Our findings align with qualitative studies of novice professional counselors’ experiences (e.g., Freadling & Foss-Kelly, 2014; Rønnestad & Skovholt, 2013). For example, Freadling and Foss-Kelly (2014) found that novice professional counselors sometimes question if their graduate training adequately prepared them for their current positions. As such, questioning of one’s clinical abilities by counselors at this developmental level was also a common experience by participants in our study (Freadling & Foss-Kelly, 2014).
Our findings were consistent with the counselor-specific burnout model in which S. M. Lee et al. (2007) noted the importance of including the unique work environment of counselors and related impact on their personal life. Our findings support the burnout conceptualization with novice professional counselors. For example, participants in the current study described an unhealthy work environment (10.6% of all coded units). The most commonly coded subcategories included unsupportive employer or supervisor, frustrated with system, burdened by documentation, and overburdened by amount of work or multiple roles.
In terms of the impact of counseling work on their personal lives (S. M. Lee et al., 2007), evidence of this dimension was captured in the current study in two categories: negative impact on personal interest or self-care and negative impact on personal relationships. There is a high degree of interconnectedness between burnout and self-care (Maslach & Leiter, 2016; Warren et al., 2012). Thus, it is unsurprising that participants reported a decrease in their self-care; however, some of the specific self-care behaviors that are affected as a result of novice professional counselors experiencing burnout are less understood. In the current study, the most commonly coded subcategory was difficulty falling asleep or staying asleep, followed by lack of interest in hobbies, poor work/life balance, and general decrease in self-care. As defined in the CBI, lack of time for personal interest and poor work/life balance are both indicators of Deterioration in Personal Life. While sleep onset and maintenance issues are associated with burnout (Yang & Hayes, 2020), counselors’ experiences with sleep issues appears to be a novel finding. Another indicator of deterioration in counselors’ personal lives as theorized by S. M. Lee et al. was a lack of time to spend with friends, which was also observed in our study. Relatedly, some participants indicated that they isolated from their social support system. Other participants described strained personal relationships (i.e., conflict in personal relationships, poor emotional connection with others), which are unique findings.
Counselor Burnout Versus Counselor Impairment
Although uncommonly reported, some participants in the current study described using negative coping strategies (1.8% of all coded units) and psychological distress (0.7% of all coded units) as evidence of their self-reported burnout. Examples of negative coping strategies reported by participants included increased substance use (e.g., alcohol, caffeine, nicotine) and overeating or skipping meals, while examples of psychological distress included having received a psychological diagnosis and experiencing increased suicidal ideations, which participants attributed to burnout. These self-reported symptoms of burnout align more closely with the definition of counselor impairment (Lawson et al., 2007) as opposed to the definition of counselor burnout. Our findings are significant for two reasons. First, any study of counselor burnout that utilized one of the commonly used instruments of burnout (e.g., CBI, MBI) would have failed to capture these participants’ experiences. Second, these findings suggest that a small number of counselors may be experiencing significant impairment in their personal and professional lives, despite being early in their professional careers. Finally, another infrequently coded category was questioning of one’s career choice (1.7% of all coded units). Coded units in this category indicated that some counselors were wondering if counseling was a good professional fit for them, while others expressed their intention to seek employment in another profession. It is possible that prolonged disengagement from one’s professional work (i.e., cynicism; Maslach & Jackson, 1981) could result in counselors wanting to explore other career options.
Limitations
There are limitations of this study which we must address. The purpose of content analysis is not to generalize findings, so our findings may only reflect the experiences of burnout for the participants in the current study. Their experiences may be influenced by developmental levels, experiences in their specific state, or other reasons that we did not capture.
Another limitation is our response rate of 8.15%. A possible reason for our low response rate is self-selection bias—counselors who were currently experiencing burnout responded to the open-ended items as opposed to those who were not feeling burnout. Future research is needed to see how burnout presents in larger or different populations of counselors. It might also be important to study the career-sustaining behaviors and work environments of those counselors who did not endorse burnout. The final limitation is that this study was descriptive in nature. Future researchers are encouraged to explore the factors that may predict burnout while also considering the novel findings generated from this study.
Implications
Our findings offer implications for counseling researchers, counselors, and supervisors. Although many of the findings from the current study align with prior research, there appears to be some degree of discrepancy between how burnout is conceptualized by scholars and how novice professional counselors describe symptoms of burnout. We implore scholars to further examine the specific descriptors of burnout as reported by participants in this study and to see if the frequency of these self-reported symptoms can be duplicated. Specifically, scholars should focus on the emotional experience of novice professional counselors, fatigue and tiredness, and feeling unfulfilled in their work, which were the most commonly reported symptoms. It also seems critically important to explore the less commonly reported descriptors of burnout, like negative coping strategies, questioning of one’s career choice, and psychological distress. Each of these categories could signal counselor impairment and would have been otherwise missed by scholars who relied exclusively on existing Likert-type burnout inventories.
Novice professional counselors sometimes experience self-doubt about their counseling skills or even the profession (Rønnestad & Skovholt, 2013), given the difficult work conditions in which these counselors practice (e.g., low wages, long hours; Freadling & Foss-Kelly, 2014). Novice professional counselors should understand that experiences of burnout appear to be commonly occurring. The illumination of these descriptors may encourage other novice professional counselors to seek guidance from their supervisors on how best to manage these feelings. For those novice professional counselors who are experiencing more serious personal and professional issues associated with burnout (e.g., using negative coping strategies and psychological distress), they should consider whether they are presently able to provide counseling services to clients and seek consultation from a supervisor (ACA, 2014).
Our findings have implications for supervisors. For example, supervisors should be willing to openly discuss burnout with their supervisees. Our results can provide supervisors with descriptors that capture novice professional counselors’ experiences of burnout. Supervisors might find it helpful to disclose some of their own experiences of burnout (or mitigating burnout) with their supervisees, which can normalize the supervisees’ experiences (Knox et al., 2011). Finally, to the extent that supervisors are able, they should protect novice professional counselors from experiencing an unhealthy work environment or potentially harmful behaviors. For example, in response to supervisees’ self-reported symptoms of burnout, supervisors could limit caseloads, allow counselors time to complete documentation, or mandate regular breaks throughout the day (including lunchtime).
Conclusion
There are many novice professional counselors experiencing a wide range of symptoms of burnout. A career in counseling can be rewarding, but prolonged burnout can lead to both personal and professional consequences, as evidenced by the findings from this study. Counselors must attend to their own symptoms of burnout in order to provide quality care to their clients and lead a fulfilling personal life. Supervisors and educators can support these counselors by discussing the experiences of burnout, and future scholars can better understand the experiences of counselor burnout by studying the phenomenon using definitions and symptoms in the words of counselors as opposed to generic definitions.
Conflict of Interest and Funding Disclosure
The authors reported no conflict of interest
or funding contributions for the development
of this manuscript.
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Ryan M. Cook, PhD, ACS, LPC, is an assistant professor at the University of Alabama. Heather J. Fye, PhD, NCC, LPC, is an assistant professor at the University of Alabama. Janelle L. Jones, MS, NCC, is a doctoral student at the University of Alabama. Eric R. Baltrinic, PhD, LPCC-S (OH), is an assistant professor at the University of Alabama. Correspondence may be addressed to Ryan M. Cook, 310A Graves Hall, Box 870231, Tuscaloosa, AL 35475, rmcook@ua.edu.
Jun 28, 2018 | Volume 8 - Issue 2
Ryan M. Cook, Laura E. Welfare, Devon E. Romero
Studies from allied professions suggest that intentional nondisclosure in clinical supervision is common; however, the types of intentional nondisclosure and reasons for nondisclosure have yet to be examined in an adequate sample of counselors-in-training (CITs). The current study examined intentional nondisclosure by CITs during their onsite supervision experience. We utilized content analysis to examine examples of intentional nondisclosure. Sixty-six participants provided examples of intentionally withholding information from their supervisors they perceived as significant. The most common types of information withheld were negative reactions to supervisors, general client observations, and clinical mistakes. The most common reasons cited were impression management, perceived unimportance, negative feelings, and supervisor incompetence. We offer implications for both supervisees and supervisors on how they might mitigate intentional nondisclosure; for example, we present strategies to address ineffective or harmful supervision, discuss techniques to openly address intentional nondisclosure, and explore ways to integrate training on best practices in clinical supervision.
Keywords: intentional nondisclosure, counselors-in-training, supervision, content analysis, best practices in clinical supervision
Counselors-in-training (CITs) in programs accredited by the Council for Accreditation of Counseling & Related Educational Programs (CACREP) are required to complete two supervised onsite field experiences (i.e., practicum and internship) in their area of interest (e.g., clinical mental health, school, rehabilitation; CACREP, 2015). The purpose of this onsite field experience is for CITs to learn the roles and responsibilities of being a professional counselor by applying what they learn in their training programs to their work in a counseling setting (CACREP, 2015). Given CITs’ limited clinical experience, onsite supervisors provide weekly supervision to aid CITs in their professional development (Borders et al., 2011; Borders et al., 2014). Although supervision is a unique opportunity, CITs receive problematic mixed messages about the expectations of the supervisory process (Borders, 2009). CITs are encouraged to discuss the topics and concerns that are the most important to their professional growth (Bordin, 1983), but the information shared is then used by their supervisors to evaluate their clinical performance (Bernard & Goodyear, 2014). These evaluations have a definitive impact on CITs’ ability to pass a practicum or internship course or graduate (CACREP, 2015) and subsequently secure employment in the counseling field. Thus, it is not surprising that studies in allied professions (e.g., clinical psychology, counseling psychology, social work) have shown that trainees commonly withhold potentially unflattering information from their supervisors (Hess et al., 2008; Ladany, Hill, Corbett, & Nutt, 1996; Mehr, Ladany, & Caskie, 2010, 2015; Pisani, 2005). While CITs’ concern to maintain a favorable image in the eyes of their supervisor is understandable, withholding information can result in missed learning opportunities for CITs and negatively impact their clients (Hess et al., 2008).
To date, only two studies have examined supervisee intentional nondisclosure in a sample of counselor education students (Cook & Welfare, 2018; Lonn & Juhnke, 2017). However, neither study examined specific examples of the types and reasons of CIT nondisclosure during onsite supervision. Counselors submit to a unique training model, with specific requirements and goals for master’s-level counselors (e.g., CACREP, 2015). CITs enrolled in CACREP-accredited programs can specialize in one of seven tracks: (a) addictions counseling; (b) career counseling; (c) clinical mental health counseling; (d) clinical rehabilitation counseling; (e) college counseling and student affairs; (f) marriage, couple, and family counseling; (g) school counseling; and (h) rehabilitation counseling. As a result, CITs work in diverse settings with a wide variety of responsibilities that are unique to the counseling profession (CACREP, 2015; Lawson, 2016). Without a study focused on CITs’ experiences in onsite supervision, CITs and supervisors must rely on findings from allied professions that may or may not reflect the counseling training model. Thus, in the current study we aimed to examine the types of intentional nondisclosure and the reasons for the nondisclosure during CITs’ supervised onsite field experience.
Supervised Onsite Field Experience in CACREP-Accredited Programs
Given the growing importance of attending a CACREP-accredited program as an educational requirement for professional counselors (Lawson, 2016), we chose to specifically target intentional nondisclosure by CITs enrolled in CACREP-accredited training programs. State licensure boards are encouraging or mandating that those pursuing professional licensure as counselors must have a degree from a CACREP-accredited program (Lawson, 2016). Additionally, as of January 1, 2022, those applying to be National Certified Counselors (NCCs) will need to graduate from a CACREP-accredited program (National Board for Certified Counselors, 2014). Thus, the standards for onsite field experiences outlined in the 2016 CACREP Standards provide clear guidelines for counselor training. Furthermore, the activities during the onsite field experience are designed to mimic those of a professional counselor in the field (CACREP, 2015). Exploring CIT intentional nondisclosure within the CACREP educational structure can help to inform best practices in counselor training.
Intentional Nondisclosure in Clinical Supervision
The supervision process is reliant on CITs to self-identify important information to share with their supervisors (Ladany et al., 1996); however, identifying this important information is not always clear to CITs given the intricacies of the client–counselor relationship (Farber, 2006; Knox, 2015). Farber (2006) suggested that some nondisclosure “is normative and unavoidable in supervision” (p. 181). Yet, there are instances in which CITs purposefully withhold information they know is relevant because of concerns for what could happen if they shared the information with their supervisor (Hess et al., 2008; Yourman & Farber, 1996).
So why would CITs, who are held to the same ethical standards as practicing counselors (American Counseling Association [ACA], 2014), knowingly choose to withhold information that could be harmful to their professional development or their clients’ treatment? During an onsite field experience, CITs learn the day-to-day tasks of being a professional counselor (e.g., establishing rapport, planning treatment, managing paperwork), but they also must meet the demands of their graduate training programs. Most CITs want to perform counselor functions at a high level, if not perfectly (Rønnestad & Skovholt, 2003). Avoiding clinical mistakes is a dubious belief that CITs hold for themselves (Knox, 2015). These high expectations create a reasonable desire to present oneself favorably to their supervisors, even though supervisors know that perfection is impossible (Farber, 2006). Moreover, CITs are told to share information that is most salient to their personal and professional development with their supervisors, but disclosing information that may be potentially unflattering or embarrassing can then be used by supervisors to evaluate performance (Borders, 2009).
Types and Reasons for Intentional Nondisclosure
In a seminal study on intentional nondisclosure, Ladany et al. (1996) investigated the types and reasons for nondisclosure in a sample of clinical and counseling psychology trainees. Participants were asked to identify instances in which they withheld information from their supervisors and then provide a rationale for why they failed to share that information. The authors found that 97.2% of the participants withheld information from their supervisors.
Through categorizing the content of the nondisclosures, Ladany et al. identified 13 types of nondisclosure, providing definitions and examples of each type: (a) negative reactions to supervisor (e.g., unfavorable thoughts or feelings about supervisors or their actions); (b) personal issues (e.g., information about an individual’s personal life that may not be relevant); (c) clinical mistakes (e.g., an error made by a counselor); (d) evaluation concerns (e.g., worry about the supervisor’s evaluation);
(e) general client observations (e.g., reactions about the client or client treatment); (f) negative reactions to client (e.g., unfavorable thoughts or feelings about clients or clients’ actions); (g) countertransference (e.g., seeing oneself as similar to the client); (h) client–counselor attraction issues (e.g., sexual attraction between client and counselor); (i) positive reactions to supervisor (e.g., favorable thoughts or feelings about supervisors or their actions); (j) supervision setting concerns (e.g., concerns about the placement or tasks required at placement); (k) supervisor appearance (e.g., reactions to supervisor’s outward appearance); (l) supervisee–supervisor attraction issues (e.g., sexual attraction between supervisee and supervisor); and (m) positive reactions to client (e.g., favorable thoughts or feelings about clients or their actions).
They also identified 11 reasons for intentional nondisclosure: (a) perceived unimportance (e.g., information not worth discussing with supervisor); (b) too personal (e.g., information about one’s personal life that is private); (c) negative feelings (e.g., embarrassment, shame, anxiety); (d) poor alliance with supervisor (e.g., poor working relationship with supervisor); (e) deference (e.g., inappropriate for a counselor to bring up because of their role as intern or supervisee); (f) impression management (e.g., desire to be perceived favorably by supervisor); (g) supervisor agenda (e.g., supervisor’s views, roles, and beliefs that guide supervisor’s actions or reactions to supervisee); (h) political suicide (e.g., fear that the disclosure will be disruptive in the workplace and lead to the supervisee being unwelcome or unsupported); (i) pointlessness (e.g., addressing the issue would not influence change); (j) supervisor not competent (e.g., supervisor is inaccessible or unfit for supervisory role); and (k) unclear (e.g., researchers unable to read participants’ statements). The most common types of intentional nondisclosure in the study by Ladany et al. (1996) were negative reactions to supervisor, CITs’ personal issues, clinical mistakes, and evaluation concerns, while the most common reasons for the nondisclosures were perceived unimportance, too personal, negative feelings, and a poor alliance with the supervisor.
Subsequent studies, also from allied professions (e.g., social work, clinical psychology), have found similar results in regard to the types and reasons for intentional nondisclosure (Hess et al., 2008; Mehr et al., 2010; Pisani, 2005). Mehr and colleagues (2010) found 84.2% of psychology trainees reported withholding information from their supervisors, and the most common types of nondisclosures were negative perception of supervision, personal life concerns, and negative perception of the supervisor, while the most common reasons for nondisclosure were impression management, deference, and fear of negative consequences. Additionally, Pisani (2005) found the most commonly withheld information for social work trainees included supervisor–supervisee attraction issues, negative reactions to supervisor, and supervision setting concerns. Finally, in a qualitative study, Hess et al. (2008) explored the differences in a single example of intentional nondisclosure based on psychology trainees’ perceptions of the quality of the supervisory relationship—for example, good (i.e., only one instance of a problem in the supervisory relationship) versus problematic supervisory relationships (i.e., ongoing issues in the supervisory relationship). They found that supervisees in both good and problematic supervisory relationships withheld information about client-related issues. However, supervisees in problematic relationships more commonly withheld supervision-related concerns (e.g., negative reactions to supervisor) compared to supervisees in good relationships. The findings described above provide empirical evidence that nondisclosure in allied professions is common.
The Current Study
Although there is evidence that supervisees from allied professions withhold information, there is currently a dearth of literature regarding intentional nondisclosure by CITs in the field of counseling. Cook and Welfare (2018) found that the quality of the supervisory working alliance and supervisee avoidant attachment style predicted supervisee nondisclosure. In a qualitative study, Lonn and Juhnke (2017) examined supervisee nondisclosure in triadic supervision. They found that the supervisee’s perception of their relationships, the presence of a peer, and opportunity to share were important to whether supervisees withheld information. However, these studies failed to examine the types of information being withheld by CITs as well as their reason for withholding information. Considering that professional counselors have a unique training model (CACREP, 2015), professional identity (Lawson, 2016), and code of ethics (ACA, 2014), the purpose of the current study was to examine the types and reasons of intentional nondisclosure by CITs during their supervised onsite internship experience.
Method
We utilized content analysis (Hsieh & Shannon, 2005) to examine the examples of intentional nondisclosures provided by CITs that occurred in supervision with their onsite internship supervisors. Hsieh and Shannon (2005) defined qualitative content analysis as “a research method for the subjective interpretation of the content of text data through the systematic classification process of coding and identifying themes or patterns” (p. 1278). Our analysis was guided by the findings from Ladany et al. (1996), which allowed us to compare the findings from the current study with those from allied professions while also examining how the phenomenon of intentional nondisclosure might present uniquely in the counseling profession (Hsieh & Shannon, 2005). The current study was designed to answer two research questions: (a) What are the types of information that CITs intentionally withhold from their supervisors during their internship’s onsite supervision? and (b) What are the reasons for their nondisclosure?
Research Team
Our research team included three members. The first and third authors served as coders while the second author served as a peer reviewer. The first and second authors are counselor educators at different universities in the Southeast United States, and the third author was a doctoral student at the same institution as the first author. We all have experience as professional counselors, supervisees, supervisors, and researchers; consequently, we have experienced all parts of the nondisclosure cycle. Prior to the analysis process, we discussed how our previous experiences might impact the analysis. Likewise, we intentionally discussed and bracketed potential influences of bias throughout the project. We also employed triangulation (e.g., multiple coders), utilized frequent peer debriefs, and employed a peer reviewer (Creswell, 2013). Our items also were reviewed by four consultants with counseling, supervision, and research experience to minimize bias and maximize clarity.
Recruitment Procedure and Participants
After securing IRB approval, we recruited participants currently enrolled in internship for the current study through the assistance of counselor education faculty at CACREP-accredited institutions. Fifteen counselor educators at 14 institutions offered paper-and-pencil instrument packets to CITs during one of their class periods. As indicated by the key informants, 152 of the 173 CITs present in class on the day the packets were offered agreed to participate in the study. This resulted in an in-class response rate of 87.86%.
Participants were CITs currently enrolled in internship in a CACREP-accredited program and receiving supervision at their internship sites. The age of the participants ranged from 22 to 60 years old (M = 28.13, SD = 7.43, n = 107). Eighty-eight participants identified as female (80%), 17 participants identified as male (15.5%), three participants identified as nonbinary (gender identity not male and not female, 2.7%), and two participants indicated that they did not want to disclose their gender (1.8%). Regarding race, the majority of participants identified as White (non-Hispanic; n = 71, 64.5%), while 23 participants identified as African American (20.9%), four participants identified as Asian/Pacific Islander (3.6%), three participants identified as Hispanic/Latinx (2.7%), three participants identified as multiracial (2.7%), one participant identified as Native American (0.9%), one participant responded “none of the above categories” (0.9%), and four participants responded that they preferred not to disclose (3.6%). Regarding CACREP track, 64 participants were enrolled in a clinical mental health counseling track (58.2%), 32 participants were enrolled in a school counseling track (29.1%), nine were enrolled in a college counseling and students affairs track (8.2%), and five were enrolled in a marriage, couples, and family track (4.5%).
Instrument
The instrument was designed to gather information about participants’ experiences with their current onsite internship supervisors. Two items were the focus of this study: (a) “Describe a time when you decided not to share something you thought was significant with your current onsite internship supervisor” and (b) “What brought you to that decision to not share it with your current onsite internship supervisor?” In addition, the questionnaire included 15 items to collect demographic information about the participants and their current onsite internship supervisors. Of the 152 participants who began participation, 42 participants (27.6%) were removed from the analysis as they did not complete the open-ended questions, resulting in a final sample of 110 participants. We utilized the demographic variables to check for evidence of nonresponse bias using Chi-square tests of independence and independent t-tests. We did not find evidence of response bias when comparing those who answered the open-ended questions and those who did not.
Data Analysis
We analyzed participants’ responses to the open-ended questions utilizing content analysis. We categorized the types of intentional nondisclosure and the reasons for nondisclosure into categories as recommended by Hsieh and Shannon (2005). For our analysis, we utilized the types of nondisclosure and the reasons for nondisclosure originally identified by Ladany et al. (1996). To reiterate, Ladany et al. identified 13 types of intentional nondisclosure and 11 reasons for nondisclosure (1996). Also, as recommended by Hsieh and Shannon (2005), we allowed for new categories to emerge that did not fit within the categories from Ladany et al. The rationale for this approach was two-fold. First, we could best understand the phenomenon of intentional nondisclosure by comparing our findings to that of previous research from allied professions, while also generating new knowledge of how nondisclosure might uniquely manifest in the counseling profession (Lawson, 2016). Second, utilizing previous research provided structure to our coding procedures and informed the researchers’ interpretation of participant responses (Hsieh & Shannon, 2005).
Coding process. The first and third authors coded the responses of 110 participants for (a) whether or not the participant identified an incident of intentional nondisclosure and (b) to categorize the participant responses that indicated intentional nondisclosure by the type and reasons for the nondisclosure. Each response was coded into one category of type of nondisclosure and one category of reason for the nondisclosure. First, the two coders selected 10 participant responses and coded them as a team. Next, the two coders selected an additional 10 participant responses and coded them independently of each other. They then came together to reach a consensus on the categorization of participant responses. The remaining 90 participant responses were coded independently, and the two coders regularly engaged in peer debriefings throughout the process to ensure consistency (Creswell, 2013). After all 110 participant responses were analyzed, the first and third authors met to finalize the categorization of participant responses and to generate names for the new categories that emerged during the analysis (Hsieh & Shannon, 2005). Regarding the categorization of participant responses in terms of the participant-identified incident of intentional nondisclosure, the coders’ agreement was 100%. Regarding the types and reasons for the nondisclosure, the coders initially disagreed on 15 types of intentional nondisclosure and 23 reasons for the nondisclosure. The two coders established consensus through discussion, resulting in an agreement of 100% (Creswell, 2013). Finally, the second author, serving as a peer reviewer, evaluated the entire coding process. She was chosen based on her expertise with supervision delivery (e.g., protocol, practice) and the topic of intentional nondisclosure. She did not recommend any changes to the categorization of participant responses; however, she recommended renaming two of the new categories for the types of nondisclosures that emerged from the data to better reflect the content of participant responses. Eleven types of intentional nondisclosure and 13 reasons emerged from our analysis.
Results
Forty-four (40%) participants reported that they had never withheld something significant from their current onsite internship supervisors, while 66 (60%) reported that they had. Examples of responses coded as never having withheld something significant from their onsite supervisors include “N/A,” “At this time, I have not withheld any information that I felt was significant with my supervisor,” and “I don’t think there has been one.” For the responses that included an example of intentional nondisclosure (n = 66), 11 types of intentional nondisclosure and 13 reasons for withholding information emerged from the data. The types of intentional nondisclosure included eight types of nondisclosure that were from Ladany et al.’s (1996) research on nondisclosure and three new types of intentional nondisclosure that emerged in this data set: (a) CIT professional developmental needs, (b) a peer’s significant issue, and
(c) experiencing sexual harassment. Regarding the reasons for the intentional nondisclosures, 10 reasons mirrored the findings from Ladany et al. and three reasons were unique to the current study: (a) did not want to harm client or confidentiality concerns, (b) consulted with another supervisor, and (c) issue with other professional in supervision setting.
The Types and Reasons for Intentional Nondisclosures
The most common type of intentional nondisclosures identified by the researchers in the current study were negative reactions to supervisor (n = 18, 27.3%), general client observations (n = 16, 24.2%), and clinical mistakes (n = 15, 22.7%). The most common reasons for intentional nondisclosures were impression management (n = 12, 18.2%), perceived unimportant (n = 8, 12.1%), negative feelings, (n = 8, 12.1%), and supervisor not competent (n = 8, 12.1%). Complete results of the coding and category frequencies of the types of nondisclosures are presented in Table 1, and the final coding and category frequencies of the reasons for nondisclosure are presented in Table 2.
| Table 1
Types of Intentional Nondisclosure |
| Type of Intentional Nondisclosure |
n (%) |
Examples |
| Negative Reactions to Supervisor |
18 (27.3%) |
When my supervisor asked if there is anything that is hindering our relationship, I lied and said that there wasn’t anything and the relationship is fine.
I feel that I am not getting feedback about my counseling from my supervisor in the supervision meetings. Instead I am only getting suggestions of how the supervisor would have handled the client.
Made a comment behind my back. My onsite supervisor is new and so I don’t share too much because he’s easily overwhelmed. |
General Client
Observations |
16 (24.2%) |
I gave [clients] more chances to skip/miss an appointment than [my supervisor] would allow so sometimes don’t let her know when people cancel or no show.
When a client disclosed personal family issues; client’s past trauma. |
| Clinical Mistakes |
15 (22.7%) |
I put a client in danger by a lack of knowledge and being new in a position.
Too much self-disclosure in a session; getting behind on case notes/paperwork.
Having a chronically suicidal client and . . . not assessing for SI in a session and feeling as if when assessed it was not done so well. |
Client–Counselor
Attraction Issues |
4 (6.1%) |
I felt attracted to an assessment client.
During a session, a client told me that he liked how I looked in my pants. He then told me that he got excited at the sound of my voice. |
| Countertransference |
3 (4.5%) |
A client reminded me of my late mother.
Early in internship, I had strong countertransference with a client. |
| Supervision Setting Concerns |
3 (4.5%) |
I was concerned if I was going to have to find another site to finish hours.
Frustration with internship duties. |
| Personal Issues |
2 (3.0%) |
I did not tell my supervisor that I chose to cut it off with a potential romantic partner. |
| CIT Developmental Need |
2 (3.0%) |
When I was first starting out I had a hard time letting my supervisor know when I needed something extra from them whether it be time or information. |
| Negative Reactions to Client |
1 (1.5%) |
Anger toward a student. |
| A Peer’s Significant Issue |
1 (1.5%) |
A client wrote a letter to my co-intern about his sexual desires and love for her. |
| Experiencing Sexual Harassment |
1 (1.5%) |
When I felt sexually harassed by a colleague. |
| Note. Not all types of intentional nondisclosure from Ladany et al. (1996) were present in this sample, and three new types emerged: (a) CIT developmental need, (b) a peer’s significant issue, and (c) experiencing sexual harassment.
|
| Table 2
Reasons for Intentional Nondisclosure |
| Reasons |
n (%) |
Examples |
Impression
Management |
13 (19.7%) |
Concerned about evaluations by those who supervise my supervisors.
Fear of looking bad or being perceived as not being a good counselor.
[Supervisor] might pass judgment because I can’t possibly know what I’m talking about being only an intern.
I worried she will think I’m unprofessional or not trust me with future clients. |
| Negative Feelings |
8 (12.1%) |
Poor self-confidence.
Fear of rejection.
Embarrassment, inferiority felt with supervisor. |
Supervisor Not
Competent |
8 (12.1%) |
I see the way she counsels clients and I know she thinks taking time to establish rapport and positive therapeutic relationships is not always necessary.
Everyone in the office says she is burnt-out and I want to be more compassionate. |
Perceived
Unimportant |
8 (12.1%) |
I did not feel it was necessary.
I was running late to class and I didn’t consult with her because she was in a session with a client so I figured I’d tell her the next day. |
| Deference |
6 (9.1%) |
I did not feel like it would be taken well, and that I am only an intern and should not correct her.
Didn’t want to hurt/upset her or burn a professional relationship. |
| Poor Alliance with Supervisor |
5 (7.6%) |
The power differential.
She berated me in supervision to the point of tears. I feel unsafe with her and our clinical styles contrast.
I knew she would make me feel inferior. |
| Supervisor Agenda |
4 (6.1%) |
I thought he would immediately notify people in charge.
Knowing my supervisor would want to tell [client’s] mother. |
| Political Suicide |
4 (6.1%) |
I want to get hired where I’m working and I don’t feel . . . safe during supervision.
It’s a small practice and I have to share a wall with this offender every day. |
Did Not Want to Harm Client or
Confidentiality
Concerns |
4 (6.1%) |
I didn’t want to put client in a bad situation.
That student was not positive of her status and was not in any danger. Revealing her secret at that point would have damaged the relationship.
Confidentiality issues. |
| Too Personal |
3 (4.5%) |
It was too personal.
I didn’t want to talk about my grief. |
| Pointlessness |
1 (1.5%) |
Thought that was between student and personal physician. |
Consulted with
Another
Supervisor |
1 (1.5%) |
Other supervisor suggestions. |
Issues with Other Professionals in
Supervision Setting |
1 (1.5%) |
The teacher expressed frustration. Hopes to prevent future conflict. |
| Note. Not all categories and reasons from Ladany et al. (1996) were present in this sample, and three new reasons emerged: (a) did not want to harm client or confidentiality concerns, (b) consulted with another supervisor, and (c) issues with other professionals in supervision setting. |
Specific Examples of the Types and Reasons for Intentional Nondisclosure
To provide a more complete picture of the phenomenon of intentional nondisclosure (Hsieh & Shannon, 2005), this section is presented to highlight specific examples provided by participants for each type of nondisclosure and the reasons they withheld the information. Our coded reason for the type of intentional nondisclosure is included in parentheses below (e.g., deference, impression management, political suicide).
Negative reactions to supervisor. One participant stated that she did not disclose that her supervisor “was not helpful during a time that I needed her to be” because the participant “did not want to . . . upset her or burn a professional relationship” (deference). Another participant did not tell her supervisor at her school internship that she disapproved of the way the supervisor addressed a student: “I felt she was being too harsh on a student and not considering other factors.” This participant did not want her supervisor to perceive her as “being wrong” (impression management). A participant stated that even though her supervisor sits in on all of her sessions at her internship site, she still withheld that she is not satisfied with the quality of their relationship and did not share how she felt “in the relationship with her.” She added that she did not disclose this information because “I am afraid she’ll be angry and it will damage the relationship we do have” (negative feelings). Finally, for a clinical mental health CIT, even her supervisor directly asking if she had concerns about the supervisory relationship was not enough to encourage her disclosure: “When my supervisor asked if there is anything that is hindering our relationships I lied and said that there wasn’t anything and the relationship is fine.” The CIT stated she lied because “the power differential, being videotaped, and concerns with confidentiality . . . stopped me from being completely honest about my comfort with our relationship” (poor alliance with supervisor).
General client observations. General client observations differed from clinical mistakes because participants did not self-identify that they perceived the specific examples they provided to be mistakes. Rather, participants indicated that the examples they provided were relevant; however, they failed to disclose this significant information to their supervisors. One school counseling CIT stated that she did not share with her supervisor that she was having trouble “breaking the ice with a client” because she “knew my [supervisor] would make me feel inferior” (poor alliance with supervisor). Another school counseling CIT shared that she failed to disclose that one of her clients was “drinking alcohol on campus” because she thought her supervisor would “immediately notify people in charge of discipline rather than talking to the student first” (supervisor agenda). Finally, another school counseling CIT stated that a client told her she was pregnant, but she failed to notify her supervisor because “that student was not positive of her status and was not in any danger. Revealing her secret at that point would have damaged the relationship” (did not want to harm client; confidentiality concerns).
Clinical mistakes. Participants reported a range of clinical mistakes, from minor clerical errors to potentially more problematic mistakes such as failure to assess for client risk. One clinical mental health CIT did not share that she was “behind on my case notes” because she “did not feel it was necessary” and she “caught up quickly” (perceived unimportant). A student affairs CIT stated that he did not let his supervisor know that he “lacked confidence in theories” because he felt “inadequate” and “embarrassed” (negative feelings). A clinical mental health CIT shared that she failed to disclose something in supervision that her supervisor had previously told her not to do: “My supervisor had previously verbalized that she would be upset.” She withheld this information because “I didn’t want to seem . . . incompetent and I respected her and want her to think I’m doing my best” (impression management). Multiple participants provided specific examples of intentional nondisclosures related to failing to adequately assess for client risk or failing to notify their supervisors that a client was engaging in risk-related behavior. A school counseling CIT shared that she did not discuss with her supervisor that “a client (minor on a school campus) was engaging in [non-suicidal self-injury] again” because “we discussed before how she is obligated to pass that info to school principal who tells parents” (supervisor agenda). This participant added that she decided not to share this information with her supervisor because she perceived the self-injury to be non–life threatening and she wanted to “save rapport” with the client (did not want to harm client; confidentiality concerns). Finally, a school counseling CIT stated that she withheld from her supervisor that she “put a client in danger by my lack of knowledge and being new in my position.” This CIT did not discuss this with her supervisor because “my supervisor wasn’t available” (supervisor not competent).
Client–counselor attraction issues. One clinical mental health counseling CIT stated that her client “told me that he liked how I looked in my pants. He then told me that he got excited at the sound of my voice.” She stated that she did not disclose this information to her supervisor because “I told myself that I did not understand how he meant the comment and I thought he would stop the flirting if I ignored him” (perceived unimportant). Two participants indicated that they experienced sexual attraction to a client but failed to share it with their supervisor. One student affairs CIT stated that she felt “embarrassed” (negative feelings), while a clinical mental health counseling CIT shared that he “did not want anyone to find out and I felt like I handled it fine” (impression management).
Countertransference. One marriage, couples, and family CIT stated that she did not disclose to her supervisor that a client “reminded me of [my] late mother” because she “did not want to talk about [my] grief” (too personal). A clinical mental health counseling CIT echoed the previous participant’s thinking process. She stated she did not tell her supervisor she was experiencing “countertransference” with a client because “it was too personal” (too personal). Finally, another marriage, couples, and family CIT stated that early in her internship she had “strong countertransference with a client” as a result of a personal grieving process. She shared that she did not tell her supervisor because she wasn’t sure “how much I trusted her with this information as it was only several weeks into internship” (poor alliance with supervisor).
Supervision setting concerns. A clinical mental health counseling CIT stated that she did not express her “frustration with internship duties” to her supervisor because “he was unavailable” (supervisor not competent). Another clinical mental health counseling CIT was concerned that she “would need to find another site to finish [internship] hours,” but did not tell her supervisor because “I did not choose to add to stress [of my] site supervisor by posing my concern” (deference).
Personal issues. One participant enrolled in a clinical mental health counseling program withheld from the supervisor that “sad and depressed” feelings because of a “fear of rejection” (negative feelings) arose during supervision. A school counseling CIT did not disclose to her supervisor that she had recently ended a relationship “with a potential romantic partner” even though it was causing her to “feel drained and emotional during the day at her internship” because “I felt that it would be silly to and I thought I did a good enough job ignoring the feelings while with students” (too personal).
CIT developmental need. One clinical mental health counseling CIT shared that she had a difficult time “letting my supervisor know when I needed something extra from them whether it be time or information” because she “felt nervous about [her] position as ‘just an intern’” (negative feelings). Another clinical mental health counseling CIT stated that she failed to let her supervisor know that she is “concerned about being in an individual session with a male client” because she is fearful that her supervisor would think she is “unprofessional or not trust me with future clients” (impression management).
Negative reactions to client. Only one participant indicated that she failed to disclose a negative reaction to a client with her supervisor. This student affairs CIT stated that she did not disclose her “anger towards a client” because she “did not think it was important enough to share” (perceived unimportant).
A peer’s significant issue. One clinical mental health counseling CIT noted that there was a failure to disclose to the supervisor that “a client wrote a letter to my co-intern about his sexual desires and love for her.” This CIT stated that the co-intern did not want this information shared and that the participant “did not think it was my place” (deference).
Experiencing sexual harassment. A clinical mental health counseling CIT stated that she was “sexually harassed by a colleague,” but failed to disclose to her supervisor because “it’s a small practice and I have to share space with this offender every day” (political suicide).
Discussion
The current investigation was designed to examine the types of and reasons for intentional nondisclosure by CITs during their onsite supervision. Sixty percent of the participants provided an example of withholding something significant from their onsite internship supervisors, suggesting that, similar to allied professions, intentional nondisclosure by counseling CITs is common (Ladany et al., 1996; Pisani, 2005; Yourman & Farber, 1996). Participants also provided detailed examples of the types of intentional nondisclosures as well as the reasons they withheld the information. These findings provide insight into the experiences of CITs at their internship placement. In this section, we will connect our findings to those from previous research as well as offer implications for counselors, supervisors, and counselor training programs.
The Types of Intentional Nondisclosure and Reasons for Nondisclosure
Overall, the types of intentional nondisclosure and the reasons for these nondisclosures are comparable to the findings of previous studies in allied professions. There were four categories of the types of intentional nondisclosure that emerged in the study by Ladany et al. (1996) that were not present in the current study: (a) positive reactions to supervisor, (b) supervisor appearance, (c) supervisee–supervisor attraction issues, and (d) positive reactions to client. The category of “unclear” in regard to the reasons for nondisclosure also was not found in the current study, as all participant responses in the current study were legible. Participants of differing CACREP tracks all provided examples of intentional nondisclosure to their supervisors in regard to their field placement. These findings suggest that despite the differences in training models (CACREP, 2015) and professional identities (Lawson, 2016), CITs experience many of the same situations that result in intentional nondisclosure as those from allied professions. The most commonly withheld information in the current study was negative reactions to supervisor, which also was true for psychology trainees in the study by Ladany et al. Supervisees appear most hesitant to discuss their concerns about their supervisor or supervision experience (Hess et al., 2008; Mehr et al., 2010; Pisani, 2005). In addition, CITs also commonly withheld general observations about clients and clinical mistakes similar to allied professions (Hess et al., 2008; Ladany et al., 1996; Mehr et al., 2010; Pisani, 2005).
The CITs in the current study provided many reasons for their intentional nondisclosure, but some reasons were more commonly reported than others. Like the findings from Mehr et al. (2010), participants in the current study most commonly withheld information in order to make a favorable impression on their supervisors. Others reported they withheld because of negative feelings such as “shame” or “embarrassment.” Farber (2006) suggested that internalized negative feelings are often a reason for nondisclosure. Consistent with findings from allied professions (Hess et al., 2008; Ladany et al., 1996), CITs also withheld because (a) they believed a supervisor was not competent, (b) they believed information was not quite important enough to disclose, and (c) they wanted to perform perfectly in their new roles.
Novel Findings Regarding Types and Reasons for Intentional Nondisclosure
An important aspect of content analysis is discussing findings that may extend existing knowledge of a given phenomenon (Hsieh & Shannon, 2005). The current study is the first to examine the types of intentional nondisclosure and reasons for nondisclosure in a sample of CITs. As such, there are several novel findings that warrant discussion. For example, two participants indicated that they did not discuss their professional development needs with their onsite supervisor. This is particularly interesting, given a central function of clinical supervision is to facilitate CIT professional development (Bernard & Goodyear, 2014). CITs who internalize their professional developmental needs as a flaw or who desire to hide these needs for fear of their supervisors’ reactions also may desire to perform perfectly (Rønnestad & Skovholt, 2003). Discussing opportunities for growth as a CIT can be difficult (Mehr et al., 2010); thus, supervisors may need to prompt their supervisees to discuss their needs more directly.
Another novel finding is that one participant indicated that she withheld from her supervisor about her peer’s ethical dilemma (the client letter revealing romantic interest). This participant explained that she did not feel it was her place to share her peer’s information, but all counselors and CITs share some responsibility to address ethical concerns. Ladany et al. (1996) found that 53% of those who withheld information from their supervisors told a peer in the field about their concern. Therefore, it seems likely that other CITs may be placed in a similar position as the participant in the current study. Knowing one’s ethical responsibility to disclose unethical behavior, as in the situation germane to this study, could be prudent (ACA, 2014). Finally, one participant indicated that she was being sexually harassed by a colleague. This report of intentional nondisclosure is particularly concerning given the increased attention to Title IX and attempts to mitigate sexual harassment and sexual assault in university and workplace settings (Welfare, Wagstaff, & Haynes, 2017). This participant’s willingness to share her trauma through the data collection process in this study presents an opportunity for counselor educators and supervisors to explore strategies to prevent these experiences for future CITs.
Regarding the reasons for intentional nondisclosure, there also were novel findings because three new reasons emerged in the current study. First, five participants did not disclose information to their supervisor because they did not want to harm their clients or violate a client’s confidentiality. However, the sharing of information with a supervisor would never violate client confidentiality (ACA, 2014). Perhaps the supervisees’ confusion about the parameters of confidentiality or misdirected efforts to protect clients from the actions of a supervisor they perceived as incompetent led to this decision. A second novel reason for intentional nondisclosure was evidenced by one participant who reported consulting with a supervisor who was not her site supervisor. Ladany et al. (1996) found that 15% of psychology trainees consulted with “another supervisor” outside their primary supervisor (p. 16). Ladany et al. did not ask their participants to clarify the role of another supervisor; however, this finding is relevant to the current study and the training of CITs. Throughout a CIT’s internship experience, they have two supervisors: one onsite supervisor and one university supervisor (CACREP, 2015). It is unclear if the supervisor with whom the participant discussed their concern was another supervisor at the site or the university supervisor. However, this could be an inherent challenge for CITs to identify who to share information with, particularly if there are issues in one of the two relationships. Finally, one school counseling CIT indicated that she had an issue with a teacher and addressed this issue with the teacher directly. Counselors work in diverse settings (ACA, 2014; CACREP, 2015) and may often work with persons outside the counseling profession. Counseling programs and supervisors may need to better prepare students to work with other professionals in their specific setting.
Implications for CITs
The findings from the current study provide empirical evidence that, when faced with the decision to share in clinical supervision, CITs sometimes chose to withhold information from their supervisors despite knowing its relevance. CITs of all CACREP tracks will likely be faced with this difficult decision. We hope that these findings, which offer insights into the experience of intentional nondisclosure, help to normalize the challenges that CITs face and identify strategies to prevent nondisclosure.
Some of the participants described harmful supervision experiences in which they were berated by their supervisors, feared fallout if they were to disclose illegal sexual harassment by another site employee, were concerned about a supervisor’s clinical competence, or did not feel safe to share even blatantly inappropriate client behaviors. Harmful supervision such as this has also been described by Ellis et al. (2014) and is a major concern for counseling and related professions. CITs who find themselves in harmful supervision situations can consider seeking support from another professional, a peer, or a professional association ethics consultant who might help rectify these issues.
Even for those CITs who are not enduring harmful supervision, there are costs to nondisclosure such as stalled development, safety concerns, and ethical or legal violations. Ultimately, the decision to withhold information from one’s clinical supervisor rests with the CIT (Murphy & Wright, 2005). Advocating for a safe and productive supervisory experience may result in a change that serves as a catalyst for supervisee growth or prevents client harm. No supervisee needs to be concerned about burdening a supervisor with disclosures about training issues or ethics; it is the supervisor’s responsibility to address supervisee needs, no matter how burdensome. Relatedly, supervisees who are reluctant to discuss their observations of clients or clinical mistakes for fear of being evaluated poorly or perceived as unqualified should consider ways to demonstrate quality work in order to balance the areas for growth. Making mistakes is expected for all CITs, but it is important to use supervision to learn from these mistakes (Pearson, 2001). In fact, reflecting on previous experiences—and learning from those experiences—is key to becoming a skilled and seasoned counselor (Rønnestad & Skovholt, 2003). CITs also might find it helpful to pursue their own personal counseling as another strategy to facilitate personal and professional growth (Oden, Miner-Holden, & Balkin, 2009).
Several CITs shared their hesitancy in disclosing information to their supervisor for fear of violating their clients’ confidentiality or harming the therapeutic alliance. Although client confidentially is critical, disclosing information to one’s supervisor would not violate a client’s confidentiality (ACA, 2014). In fact, some of the concerns expressed seemed to be more about the limits of confidentiality in the setting more broadly (e.g., high school rules), rather than with the supervisor specifically. Counselors are encouraged to not tell a client that the information shared during the counseling process will remain absolutely confidential. Rather, counselors are encouraged to include a passage in their informed consent about the boundaries of client confidentiality and discuss this information with their clients (ACA, 2014). Finally, predicting when ethical or legal issues will occur may be impossible. Counselors should regularly consult with supervisors to discuss treatment options and legal and ethical issues (ACA, 2014).
Implications for Supervisors and Counselor Education Training Programs
Supervisors and counselor educators play a central role in reducing CIT intentional nondisclosures. The findings from the current study suggest there is a wide range of topics that CITs are reluctant to discuss with their supervisors and a wide range of reasons for withholding. The varying nature of intentional nondisclosures highlights the necessity of individualized interventions. Broadly speaking, supervisors are encouraged to facilitate an open and safe environment that invites disclosure (Bordin, 1983). This might also mean supervisors must be willing to purposefully solicit feedback from their supervisees (Murphy & Wright, 2005). Additionally, supervisors must be proactive in utilizing the knowledge gained from studies like this one to normalize the experiences of their supervisees. Perhaps by discussing each of the types of nondisclosure described above with CITs, supervisors can reduce the pressures associated with performing perfectly (Rønnestad & Skovholt, 2003) or diminish the negative emotions (e.g., shame, embarrassment) associated with making mistakes (Farber, 2006; Knox, 2015).
Finally, some of the experiences described by the participants in the current study are deeply troubling, as they shared specific examples of ineffective and harmful supervision. The burden of providing evidence and reporting instances of harmful supervision is often placed on the CIT (Ellis, Taylor, Corp, Hutman, & Kangos, 2017). We outlined some strategies for CITs in case they were to experience harmful supervision; however, the findings from the current study suggest that CITs are withholding this information for any number of reasons. The participants in this study are not unlike those from other allied professions who have similar supervision experiences (for specific examples of harmful supervision, see Ellis, 2017). Thus, supervisors and counselor education programs must work to prevent CITs from experiencing the damaging effects of ineffective or harmful supervision. We encourage counselor education programs to be proactive by reviewing the signs of ineffective and harmful supervision practices with students before they begin their internships and to regularly check in with students about the supervision experience. Counselor education programs may find it beneficial to solicit student feedback about their practicum/internship site at the end of each term—specifically targeting concerns related to ineffective and harmful supervision.
Encouraging students to disclose their experiences with ineffective or harmful supervision while they are in the process of graded program work might not be possible because of the reasons described above; however, preventing similar experiences for future students may be. Finally, CACREP (2015) requires that all site supervisors receive supervision training prior to serving in this capacity. Accidental instances of ineffective or harmful supervision may be prevented by adding training for site supervisors in this content area (Ellis et al., 2017).
Limitations and Future Research
The current study has limitations that create opportunities for future research. First, we utilized the categories originally identified in the study conducted by Ladany et al. (1996). Although we allowed for the creation of new categories, it is possible that selecting a different study to guide our investigation would have yielded different findings (Hsieh & Shannon, 2005). Also, prompting for a single example of significant intentional nondisclosure may have influenced the findings. Future studies should include the opportunity to provide multiple examples, which could result in different findings. Finally, participants were asked to provide examples of intentional nondisclosure with their onsite supervisors during their internship. These participants were receiving supervision from a university supervisor (CACREP, 2015), meaning the information withheld from the onsite supervisor may have been discussed with the university supervisor. It is also plausible that supervisees withheld the information from both the onsite and university supervisors. Site supervisors and university supervisors might have conflicting agendas, presenting a burden on supervisees to decide what to disclose to whom. Future studies should examine how supervisees decide what to disclose when they have multiple supervisors at one time. Finally, participants in the current study reported they were most hesitant to disclose their negative reactions about their supervisors. Future research should explore how supervisors can better monitor their supervisees’ reactions to them.
Conclusion
Although previous research from allied professions provides evidence of how nondisclosure manifests within those professions, the findings from this study provide empirical evidence of how CIT intentional nondisclosure presents during onsite supervision. These findings provide valuable insights into the types of information that CITs withhold as well as the reasons for their nondisclosure during their onsite supervision. Given that the counseling profession has a unique training model (CACREP, 2015) and professional identity (Lawson, 2016), these findings can be used by CITs, onsite supervisors, and counselor educators to generate targeted solutions to address this critical issue.
Conflict of Interest and Funding Disclosure
This research was supported by a grant from the Association for Counselor Education and Supervision.
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Ryan M. Cook is an assistant professor at The University of Alabama. Laura E. Welfare, NCC, is an associate professor at Virginia Tech. Devon E. Romero, NCC, is an assistant professor at The University of Texas at San Antonio. Correspondence can be addressed to Ryan Cook, 310A Graves Hall, The University of Alabama, Tuscaloosa, AL 35487, rmcook@ua.edu.
Jun 28, 2018 | Volume 8 - Issue 2
Kristi A. Lee, Daniel J. Kelley-Petersen
The focus on human development is foundational to the field of counseling, with its importance codified in guiding documents and frameworks, such as the American Counseling Association’s Code of Ethics (2014). Many developmental theories have been established using single-gender or single-culture groups, yet they claim universal application to all humans. Although counseling students must learn these theories because of accreditation standards and licensure requirements, counselor educators need to prepare students for practice in a multicultural world. Counselors are now called to act as social justice advocates, and teaching strategies are needed to prepare students for this role. This study’s focus is on the use of service learning with community counseling students in a human development course. Results from a content analysis demonstrate how service learning enhances learning and broadens students’ perceptions of themselves, others, and social justice in counseling. Findings indicate a shift in participants’ perception of social justice in counseling.
Keywords: service learning, social justice, human development, developmental theories, content analysis
Distinct from the medical model that underlies psychology, the field of counseling has historically focused on developmental processes as the foundation to understanding what makes human life function well (Brady-Amoon, 2011; Kraus, 2008; Lewis, 2011; Stennbarger & LeClair, 1995). These processes of development are explained through theories about learning, normal personality development, and individual and family development, among others (Council for the Accreditation of Counseling & Related Educational Programs [CACREP], 2015). The American Counseling Association (ACA) identified “enhancing human development throughout the lifespan” as the first core value of the counseling profession (2014, p. 3). Further, human development has been established as one of eight knowledge areas by CACREP (2015), the national accrediting body for counselor education programs. Additionally, standardized tests, such as the National Counselor Examination for Licensure and Certification, require students to demonstrate mastery of studies that provide an understanding of the nature and needs of individuals at all developmental levels (National Board for Certified Counselors [NBCC], 2015).
Although understanding and promoting healthy human development across the lifespan are central themes in counselor education, there are critiques of the study of human development (Brady-Amoon, 2011). Many theories and models of human development reflect middle-class, Caucasian-American value systems and culture (Brady-Amoon, 2011; Broderick & Blewitt, 2015; Dixon, 2001; Henrich, Heine, & Norenzayan, 2010), and thus lack utility in developing both a robust and a nuanced understanding of groups who are outside of this demographic. Broderick and Blewitt (2015) stated that there is a “growing concern that traditional theories are insufficient to explain development because they are biased in favor of single-culture or single-gender models” (p. 351). The role of culture in human development is crucial to consider (Rogoff, 2003), yet many theories consider culture an extraneous variable. Systematic misapplication of theories designed for the dominant population may not adequately account for the accepted indicators of development for diverse cultural and societal contexts (Broderick & Blewitt, 2015;
Dixon, 2001; Kraus, 2008). Recognizing challenges in applying developmental theories to diverse populations is critical for counselors who promote social justice in counseling and in society (Kiselica & Robinson, 2001; MacLeod, 2013).
The Movement Toward a Social Justice Perspective in Counseling
Counselors have a unique position as frontline witnesses to how social inequities impact clients. Individual, couples, family, and group counseling are critical in helping clients in non-dominant groups navigate and survive systems of oppression and opportunity. However, these modalities of counseling may not be sufficient to prevent or meaningfully address mental health issues that have systemic causes (Toporek, Gerstein, Fouad, Roysircar, & Israel, 2006). The recognition for the need to adjust counseling approaches to work with issues of healthy human development in a pluralistic society has contributed to the growth of the social justice movement within the field of counseling (Ratts & Wood, 2011). At times identified as the “fifth force” (Ratts, 2009) in counseling, the social justice perspective not only addresses the individual needs of clients, but also seeks to change systems that inhibit human development for oppressed groups. Counselors are challenged to determine how to balance individual counseling interventions with advocacy interventions on local, state, or national levels. A social justice approach to counseling emphasizes the importance of healthy human development for individuals and social groups and necessitates a broader array of skills, knowledge, and perspectives, including advocacy skills (Bemak & Chung, 2011; Brady-Amoon, 2011; Lewis, 2011; Ratts, 2009).
Acceptance of the social justice counseling perspective is evidenced by its codification in important documents that guide many practitioners and educators in the field of counseling. In the preamble to the 2014 Code of Ethics, ACA identified “promoting social justice” (p. 3) as a core principle. Ethical counselors are called to “advocate at individual, group, institutional, and societal levels to address potential barriers and obstacles that inhibit access and/or the growth and development of clients” (2014, p. 5). In 2003, ACA endorsed the Advocacy Competencies (Lewis, Arnold, House, & Toporek, 2002), a document that describes skills and activities for counselor advocacy. Additionally, the 2016 CACREP standards call for preparation of counselors in “advocacy processes needed to address institutional and social barriers that impede access, equity, and success for clients” (2015, p. 10). These documents provide evidence that segments of the profession of counseling, particularly some counselor education programs, are embracing a social justice perspective that can be enacted through counselor advocacy.
Although many counselors may want to advocate for marginalized populations, they may not be comfortable doing so or they may not know how (West-Olatunji, 2010). Further, it is unclear whether counselor educators are adequately preparing students with the skills necessary to practice from a social justice perspective upon graduation (Bemak & Chung, 2011; Constantine, Hage, Kindaichi, & Bryant, 2007). Preparing counselors with effective and culturally relevant advocacy skills for work in today’s pluralistic society requires that counselor educators rethink historically used teaching methods (Brady-Amoon, Makhija, Dixit, & Dator, 2012; Burnett, Long, & Horne, 2005; Herlihy & Watson, 2007; Hoover & Morrow, 2016; Manis, 2012). Rethinking traditional teaching methods and curricula is particularly important for courses such as human development, which have traditionally focused on universalist theories established using single-gender or single-culture groups (Broderick & Blewitt, 2015). However, for the foreseeable future students will be required to demonstrate their mastery of these traditional theories on licensing exams (NBCC, 2015). To meet the dual challenge of preparing students for licensure and preparing them for practice in a pluralistic society, new teaching approaches are needed. The role of social justice advocacy has been conceptualized as central for counselors (Chang, Crethar, & Ratts, 2010; Lewis, Lewis, Daniels, & D’Andrea, 1998), yet few studies have demonstrated how to prepare students for this role.
Service Learning: A Pedagogy for Counselor Education
Defining Service Learning
Teaching that is active, experiential, and addresses real-world problems is needed to meet the call to prepare students as social justice advocates in the context of rapidly changing and diversifying demographics (Bemak, Chung, Talleyrand, Jones, & Daquin, 2011; Constantine et al., 2007; Manis, 2012). As an experiential teaching strategy that combines academic content learned in the classroom with activities in the community that address “human and community needs” (Jacoby, 2015, p. 6), service learning provides a potential avenue for more adequately preparing counseling students for work in today’s pluralistic society.
Although similar to experiential learning, service learning has a set of characteristics that make it distinct from internships and volunteerism (Furco, 2002). With an emphasis on collaboration with community partners (CPs) who represent historically marginalized communities, all participants enter the service-learning experience as learners and as contributors. Community members and students benefit from a collaborative learning partnership through which a solution to a community-articulated problem is developed (Warter & Grossman, 2002).
Service learning can take two forms: placement-based and project-based. Placement-based service learning usually involves a requirement for students to spend a set number of hours at a community organization where a student completes agreed-upon tasks (Parker-Gwin & Mabry, 1998). In project-based service learning, small student groups work with CP organizations on specific projects that help to meet a need or solve a community-articulated problem (Hugg & Wurdinger, 2007).
Service Learning in Counselor Education
A growing number of counselor educators have called for the use of service learning within counselor education to provide students with an avenue for understanding complex systemic social inequities (Bemak & Chung, 2011; Bemak et al., 2011; Constantine et al., 2007; Manis, 2012). Additionally, the use of service learning within counselor education has been the focus of a limited number of studies. A qualitative study by Jett and Delgado-Romero (2009) focused on the impact of using service learning with pre-practicum counseling students. Results showed that service learning “was perceived to facilitate student counselors’ professional development” (p. 116) through promoting a deeper understanding of counselors’ roles and contexts. Exposure to counseling environments promoted student counselors’ understanding of what counseling is, as opposed to what they imagined it to be (Jett & Delgado-Romero, 2009).
Service learning also has been found to increase multicultural competencies in counseling students. In utilizing service learning in a multicultural counseling class, Burnett, Hamel, and Long (2004) found that it provided “an opportunity to build community learning and cultural sensitivity” (p. 190). They found that service learning had merit in multicultural counseling competency training and in reducing a “missionary ideology” (p. 191) in students. These results suggest that service learning can be a useful strategy for helping students understand how to advocate with and on behalf of marginalized communities. In addition, service learning may give students the opportunity to practice advocacy skills in real-world contexts.
In order to explore the relationship between service learning and students’ understanding of the role of social justice advocacy in counseling, the present study documented and analyzed community counseling students’ experiences in project-based service learning in a human development course in a CACREP-accredited program. The study’s research question has four foci: In what ways does the use of service learning in a human development course impact students’ (a) understanding of course content; (b) understanding of development of people in non-dominant populations; (c) perceptions of themselves; and (d) understanding of a social justice perspective in counseling?
Method
Description of Participants and Sampling Procedures
The study included data from 40 participants. Seventy-six percent of participants identified as female, 24% identified as male, and no participant identified as “other,” an option allowing for non-binary gender identities. Participants’ age range was 22 to 56 with an average age of 31, and they identified with the following race or ethnic categories: Black, 5%; Hispanic, 22%; Native American, 2%; Two or More Races, 10%; White, 49%; and No Response, 12%.
To gain a broad understanding of students’ experiences, data from nearly all community counseling students (hereafter called participants) who participated in the course over four academic terms were included in the study. The data for one student was left out of the study because of participation in the research process. Each participant was in the first of a three-year community counseling program while enrolled in the course with service learning. The program was in its final cycle of CACREP
re-accreditation as a community counseling program at the time the data were collected. This study was approved by its host institution’s Internal Review Board.
Class as Context
Service learning is grounded in a specific “academic house” (Lee & McAdams, 2017) that informs the type of service activities. The academic house for the current research project was a course designed to meet the CACREP human growth and development curriculum requirement. Entitled Counseling Across the Lifespan, it was positioned as the first course in a three-year community counseling program located in a private, urban, medium-sized university in the northwest region of the United States. Taught over a 10-week academic term, the course utilized a text that covered theories and models of human development across the lifespan (i.e., theories of learning, personality development, cognitive development, ecological models). Course elements included reading, class lectures, small and large group discussions, papers, and quizzes. Many theories of development included in the course to help students meet the requirements of licensure were developed using a single-gender, monocultural group. To incorporate a social justice perspective, the course instructor (first author) believed it was essential for students to understand how Euro-Western theories of development may or may not apply to populations for whom they were not developed. To provide context for critical analysis of class content, students engaged in a major class project, the Developmental Service-Learning Project (DSLP).
Developmental service-learning projects. In keeping with high-quality service-learning pedagogy with a social justice focus, the DSLPs were designed in collaboration with CP organizations working with marginalized populations. The primary instructor worked with a center on campus that supported faculty in developing service-learning courses to identify potential partners whose organizations serve people across the lifespan. Project examples included needs assessments, resource manual development, and socio-emotional lesson plan development. All project ideas were suggested by CPs and planned collaboratively with the course instructor. CPs visited class to introduce their organizations and projects to students during the second class session. Students then selected a project and met with their CPs during class time to launch the collaborative project work.
The DSLP had several requirements. For students to gain an understanding of the organization and the population with whom they were working, students visited the site under the supervision of the CP. Each project included the development of a product that could go into immediate use at the CP organizations and that would continue to benefit the site after the project ended. Students also were required to read, analyze, and report how relevant scholarly literature informed their project work. A project proposal detailing what would be accomplished during the DSLP was submitted for approval to the CP and the course instructor. Upon approval, students carried out their projects while remaining in contact with their CPs. During the study’s time period, there were a total of 24 completed DSLP projects. In collaboration with CPs, students completed projects on curriculum development, program evaluations, needs assessments through focus groups and interviews, and intake process development, among others. CP organizations served individuals across the lifespan and in historically marginalized communities ranging from a program on kindergarten readiness with refugee families, to developing resources for housing for an older African immigrant community.
CPs attended the final class session for DSLP group presentations. Partners asked questions, gave verbal feedback, and completed formal written evaluations of the projects. Project groups wrote a final report for their CP detailing their work and product. Digital and physical copies of all products were given to CPs for their continued use. The last class session served to celebrate partnerships and accomplishments. After the term ended, the course instructor met with each CP to discuss the experience, solicit feedback, and plan future collaborations; several CPs collaborated on projects over multiple academic terms.
Data Collection and Analysis
Data were collected from three sources, each a required class assignment. The first two sources were reflection papers—one written by participants at midterm, and one at the end of the term. The third assignment was a self-evaluation completed by participants at the end of the DSLP experience. Participants responded to specific prompts such as “Did your experience with the Developmental Service-Learning Project impact your comprehension of the material from the text and lectures? If so, how?” and “Through the Developmental Service-Learning Project, what did you learn about: Yourself? Your community? Working with people who may have had a different developmental trajectory than you?”
Content analysis is a qualitative methodology that can be used for analyzing and drawing meaning from large amounts of textual data. It allows for the “subjective interpretation of the content of text or data through the systematic classification process of coding and identifying themes or patterns” (Hsieh & Shannon, 2005, p. 1278). This methodology has been widely used in counselor education research (Avent, Wahesh, Purgason, Borders, & Mobley, 2015; Burkholder, Hall, & Burkholder, 2014; Cook, Hayden, Gracia, & Tyrrell, 2015).
Using content analysis of secondary data, researchers analyzed existing textual data collected from study participants enrolled in the course over four academic terms, for a total of 120 documents (N = 40 students with three documents each). To maintain participants’ confidentiality and to minimize possible researcher bias, all identifying information was removed from the data sources by the first author prior to analysis. Each participant was assigned a numerical identifier linking them to the course section in which they participated. These identifiers were kept in an Excel file that was password protected and was kept away from the rest of the data in order to reduce bias.
Data were analyzed in two phases to identify central themes associated with the participants’ experiences and perceptions with DSLP. First, data corresponding to each of the four foci of the research question were grouped into the following a priori categories: (a) understanding of course content,
(b) understanding of human development in non-dominant groups, (c) perception of self, and (d) a social justice perspective in counseling. During the second phase of analysis, data within each category were coded by meaning units, which was defined as a collection of words, sentences, or paragraphs that referred to a discrete idea. Closely related codes were collapsed into themes. Researchers used NVivo 10 (QSR International, 2012) for the coding process and to calculate interrater reliability statistics.
Trustworthiness
During the study, the researchers engaged in several strategies to ensure the study’s trustworthiness. The research team consisted of the course instructor and a graduate student research assistant who was trained in the research procedures. Prior to the study’s design and again before data analysis, researchers examined their potential biases. As recommended by Rossman and Rallis (2003), researchers engaged in reflexivity through writing, discussing, and revising researcher-as-instrument statements throughout the process. This process was done to bracket the researchers’ beliefs and opinions to ensure that the participants’ voices could be heard fairly and clearly.
Data were collected from documents that participants completed at two different points during the academic term (midterm and end of term), providing the basis of a longitudinal analysis. At the beginning of data analysis, researchers spent several hours coding data together to support shared meaning of codes and ensure credibility of the analysis. Additionally, researchers engaged in peer debriefing of codes and the coding process at weekly research meetings. Within each phase of coding, the researchers calculated interrater reliability statistics in NVivo 10 (QSR International, 2012) to determine the credibility of the analysis. After each coding session, researchers documented their reflections, questions, and ideas in a reflexive journal designed to document decision making related to the analysis. An audit trail was kept ensuring confirmability of the study’s findings.
Interrater Reliability
During each phase of coding, researchers conducted interrater reliability testing using NVivo 10 (QSR International, 2012) to ensure credibility of the coding process. In the first phase of grouping data into four a priori categories for further coding, an interrater reliability test resulted in a kappa coefficient of .68. This outcome is considered a “substantial” benchmark for kappa coefficients by Landis and Koch (1977). During the second phase of coding into emergent categories, the kappa coefficient for data that was coded by both researchers was .96. This is an “almost perfect” benchmark for kappa coefficients (Landis & Koch, 1977). These results demonstrated that raters consistently coded the data in a similar matter and increased the data’s credibility.
Results
The study’s results indicated the level of impact the DSLP experience had on participants’ understanding of course content, understanding of people in non-dominant groups, perceptions of themselves, and what social justice in a counseling context meant to them. For participants, the DSLP experience became a lens to look at the world in a different way and was a primary frame of reference for the course. In this section, results for each of the four a priori categories is reported, including qualitative results from the content analysis, as well as a narrative description of the data’s emergent themes.
Understanding of Course Content
The first a priori category focused on the impact of the DSLP on participants’ understanding of content in the human development course. Content analysis resulted in 374 meaning units that coalesced into two themes: connecting class material and reflections on learning.
Participants articulated coming away with a more complex and nuanced understanding of seemingly straightforward developmental theories because of the DSLP experience. The messiness of lived experience became real in a way participants did not believe the theories always described. For example, one participant stated that the DSLP experience “muddied the overly clear waters of the text’s simplistic approach to the behavior of complex systems. The service-learning project was a much more realistic approach, introducing us to complex systems and their interactions.” The hands-on nature of the DSLP, as well as the real-world context it provided, facilitated learning that participants described as broader, deeper, and more relevant to their professional futures. Participants reported that the class content was more accessible, more understandable, and easier to absorb because of the DSLP experience. One participant stated that the service-learning experience “required me to broaden my scope of what we were learning in the class. The focus can often be narrow in the classroom setting, but we were able to consider the ‘big picture’ in a realistic way because of this project.”
Further, the context provided by the service-learning experience offered the opportunity for critical analysis of class content. Consistencies and inconsistencies between class content and the lives of the people at their DSLP sites became apparent to participants. Many times, students came away realizing the gaps between theoretical models and lived experiences, particularly for people in non-dominant groups. One participant stated that the experience “made me more critical of the dominant views of development presented in our text. . . . While I understand there are certain fundamental human needs, I really believe in thinking about context as much as content.”
Human Development in Non-Dominant Groups
The next a priori category focused on how the experience with the DSLP impacted participants’ understanding of development of people in non-dominant groups. As CP agencies worked with populations outside the dominant culture, the DSLP provided an opportunity for participants to learn about these groups. Data analysis resulted in 291 meaning units in five themes: access to resources, creating community, cultural awareness, cultural differences, and systems of oppression.
Because of the DSLP experience, participants noted better understanding of the challenges a person in a non-dominant group faces when creating or maintaining their identity. Several participants reported seeing community members’ struggles by incorporating a social construct or standard that did not fit with their own cultural experiences. One participant stated, “As an immigrant parent, the stress is likely increased because the ‘outside influences’ are coming from a culture that is at the very least unfamiliar, and at worst, in conflict with cultural values important to the parents.”
Participants observed a strong sense of resiliency in community members as they overcame obstacles to seek out support. Participants identified that engaging in wellness activities and having a sense of purpose and pride in their lives contributed to resiliency for community members. These wellness activities included groups offered at mental health agencies and informal gatherings where stories and experiences were shared. A participant stated that at her DSLP site she witnessed “strength and resiliency with which people can create meaning and community that is not based on dominant cultural values.”
Furthermore, participants witnessed that when faced with conflicts or challenges, community members found support by referring to their own cultural values and norms. A participant stated, “For an immigrant in a new country, believing that there are others around who not only speak the same language, but have the same values and interests can be powerful in promoting feelings of efficacy instead of helplessness.”
Perceptions of Self
The third a priori category focused on how the DSLP experience impacted participants’ perceptions of themselves. Content analysis resulted in 227 meaning units with three themes that focused on working with new populations, their personal role in social justice, and specific work-related skills.
As CP organizations worked with marginalized communities, such as the East African immigrant community and the youth of the Asian and Pacific Islander community, most participants interfaced with communities with whom they had not previously worked. These interactions spurred participant reflection on the similarities and differences between themselves and those with whom they were working. Participants expressed surprise in what they learned about communities new to them, expecting to find more similarities or more differences. One participant stated, “As a first-generation person, I assumed that I could relate to the issues that the families face. However, I learned that their experience here in (location) is much different than the one I had growing up.” Another participant stated, “Although the students that were in the (CP program) may have a different developmental trajectory than me, there were still many similarities between us. Their values and work ethic reflected the same as mine.”
The interaction with CPs and clients through the DSLP provided a lens for participants to see how structural inequities in society impact the health and development of people in marginalized groups. Because of this, participants were better able to see and understand their own privilege, whether that privilege was related to race, gender, socioeconomic status, or educational attainment. One participant stated, “To be able to briefly see through the eyes of another individual who does not have the same background or privilege as I do, I am better able to understand my own privilege.” Another participant stated, “We all have our own biases and stereotypes and maybe even racist ideologies that we need to get rid of.”
Many participants articulated their perspectives on what social justice meant to them personally and how to move social justice goals in society forward. These were general definitions of social justice not specific to how social justice related to counseling. One participant said, “I believe that being an advocate for social justice involves understanding that many factors in people’s lives influence their development, and that not everyone has equal opportunity to environments conducive to healthy development.” Another participant stated, “To me, social justice means recognizing human dignity across social categories and engaging in some way to distribute power more equitably among people.”
A Social Justice Perspective in Counseling
The final a priori category was focused on how engagement in the DSLP experience impacted participants’ understanding of a social justice perspective in counseling. Data analysis resulted in 416 meaning units with three themes: definitions of social justice in counseling, counselor social justice knowledge, and counselor action through advocacy.
Participants articulated what social justice in the counseling sphere meant to them. One participant stated, “In order to successfully incorporate a social justice approach to counseling, socioeconomic status, culture, academic proficiencies and group membership must be considered.” Empowerment was identified by multiple participants as key to social justice approaches to counseling. According to one participant, “Empowering individuals is at the heart of social justice.” Additionally, participants pointed to understanding each client as a whole individual, including their unique social location, as important in counseling from a social justice perspective.
Participants shared new knowledge of recognizing systems that impacted people in non-dominant groups and acknowledging that the external factors of barriers and injustices may play a role in the need for mental health services. One participant said, “A counselor can promote social justice by helping clients identify the foundation of their behavior and understand that their feelings of insecurity are valid.”
Participants identified that a social justice perspective in counseling included a call to advocate for clients. One participant defined advocacy as, “Part of being a therapist who believes in social justice is advocating for and empowering those individuals who feel they have no voice or feel their voice has been extinguished through societal or institutional oppression.” Participants stated that the goal of social justice counseling was, in fact, to strengthen and support the resiliency of their clients who experience challenges brought on by external factors. One person said, “Social justice advocacy seeks not only to fight oppression but to empower individuals and communities that have been historically oppressed to be self-determinant to live lives of meaning and hope through equitable redistribution of resources, power, and opportunities.”
Discussion
The results of this study offer insight about how using service learning in a human development course impacted community counseling students. Because these findings document a shift in understanding the nature of human development in a pluralistic society, they may be useful for counselor educators who teach human development and who strive to prepare counseling students with a social justice perspective.
The Teaching and Learning of Human Development
As a core curricular area of accredited programs, coursework in human development is required for all counseling students (CACREP, 2015). Students who seek to become licensed counselors must demonstrate their mastery of this content area on national exams (NBCC, 2015). Therefore, counselor educators have an obligation to prepare students with this knowledge base. However, universalist theories of human development may not sufficiently explain development of all groups in a society (Broderick & Blewitt, 2015; Henrich et al., 2010). There is growing acknowledgement that often embedded in models are the worldviews of those who developed them (Rogoff, 2003). Counselor educators are called to teach human developmental theory in such a way that students will be able to responsibly apply (or not apply) theories to clients from whom and for whom they were not developed.
This study’s findings demonstrate that service learning provides participants with a deeper and more nuanced understanding of human development course content through its application in real settings. Participants witnessed how theories did not always match the lives of people at their service-learning sites. Further, participants articulated witnessing how systems of oppression negatively impacted the development of marginalized people. These results build on the evidence that the use of service learning can promote multicultural competence (Burnett et al., 2004) and help students be more prepared to move into the professional role of counselor with a more realistic perspective of what the role means (Jett & Delgado-Romero, 2009).
Preparing Counseling Students as Social Justice Advocates
According to the Code of Ethics (ACA, 2014), counselors should be ready to advocate for removing barriers to healthy growth and development, yet specific strategies for preparing students to do so are lacking. Participation in collaborative service learning focused on important issues for marginalized populations facilitates new awareness of what social justice counseling means. The need for counselors to be aware of their own privilege was stated clearly by participants. In addition, being a counselor for social justice also meant advocating for clients at multiple levels. Working with CPs provided opportunities to witness important work in the community and to practice enacting social justice advocacy. The results demonstrate that service learning can be used as a teaching strategy to meet CACREP requirements and to meet the call for using new “structures, requirements, and goals” (Constantine et al., 2007, p. 27) to prepare students as social justice advocates.
Limitations and Future Research
This study’s findings demonstrated that service learning can be used to teach academic content as well as promote students’ understanding of social justice and advocacy. However, limitations are important to note. First, the primary researcher was the course instructor and the co-researcher participated in the class as a student, although data for the co-researcher was not included in the analysis. Although steps were taken to ensure trustworthiness and authenticity, future studies should include an outside researcher to strengthen the methodology. Second, data for the study was drawn from written text. As such, there were no opportunities to ask participants follow-up or clarifying questions. Although content analysis was chosen to examine the participants’ experiences of the DSLP while they were occurring, future studies using interviews or focus groups could provide more sources of data. Third, the current study focused only on the student experience in the DSLP. Although CPs were involved in every aspect of project creation, execution, and evaluation, they were not included in the systematic study of outcomes. Future studies should examine the impact of service learning on CPs, clients, and communities.
Conclusion
The demographics of the United States are rapidly changing, and soon there will be no one majority group (Cárdenas, Ajinkya, & Gibbs Léger, 2011). Continuing to teach monocultural theories is no longer sufficient; it risks further marginalizing non-dominant groups in society. If we were to better understand how different groups and cultures experience development through their own lenses and a shared pluralistic lens, the problem of applying theories to those from whom and for whom they were not developed would be eliminated. Counselor educators should work with CPs and community members to develop, research, and apply culturally appropriate theories of human development. Until that time, counselor educators must use effective teaching strategies that prepare students to work responsibly and competently in a multicultural world. Service learning, as an educational tool for social justice in counselor education, can contribute to meeting this need.
Conflict of Interest and Funding Disclosure
The authors reported no conflict of interest or funding contributions for the development of this manuscript.
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Kristi A. Lee, NCC, is an associate professor at Seattle University. Daniel J. Kelley-Petersen, NCC, is an adjunct faculty member at Seattle University. Correspondence can be addressed to Kristi Lee, College of Education, 901 Twelfth Avenue, Seattle, WA 98122, leekrist@seattleu.edu.
Feb 3, 2017 | Article
Edward Wahesh, S. Elizabeth Likis-Werle, Regina R. Moro
This content analysis includes 210 articles that focused on addictions topics published between January 2005 and December 2014 in the journals of the National Board for Certified Counselors (NBCC), Chi Sigma Iota (CSI), the American Counseling Association (ACA), and ACA member divisions. Results include the types of addictions content and behaviors studied as well as the populations and data analytic techniques used in the addictions research articles. Whereas most articles discussed addictions counseling techniques, addictions issues among non-clinical populations, and professional practice issues, fewer articles addressed clients in treatment, utilized clinical populations, or analyzed intervention outcomes. Implications for addictive behaviors and addictions counseling scholarship in professional counseling are discussed.
Keywords: addictive behaviors, addictions counseling, content analysis, NBCC, ACA
Professional counselors have an ethical obligation to be actively involved in continuing education in order to remain current on relevant professional issues and scientific information related to their client population and setting (American Counseling Association [ACA], 2014). Continuing education also is required by licensing and certification bodies for credential renewal. One way continuing education is achieved is through reading and contributing to peer-reviewed journal articles. Publications can expose professional counselors, counselor educators and counselors-in-training to new and innovative practices grounded in empirical research.
Professional journals represent “the repository of the accumulated knowledge of a field” (American Psychological Association, 2010, p. 9). A number of journals are produced by the major counseling certification and professional organizations, including The Professional Counselor, published by the National Board for Certified Counselors (NBCC); the Journal of Counselor Leadership and Advocacy, published by Chi Sigma Iota International (CSI); and the Journal of Counseling & Development (JCD), which is the flagship journal of ACA. In addition to JCD, there are 20 journals published by ACA member divisions. ACA member division-sponsored journals publish articles that inform counseling practices and contribute to the body of research on topics that are salient to the particular settings, populations, interest areas, and issues associated with the division. An area that is relevant to most professional counselors, regardless of specialty area or setting, is addiction.
According to the Substance Abuse and Mental Health Services Administration (SAMHSA), in 2014 there were an estimated 21.5 million Americans (8% of the population aged 12 or older) living with a substance use disorder (SUD; SAMHSA, 2015). It is likely that many individuals with SUDs also have other co-occurring mental health conditions. In fact, 2014 estimates suggest 7.9 million adults (i.e., 18 years and older) in the United States had both a past-year SUD and a mental illness diagnosis. Among adolescents, approximately 1.3 million reported a past-year SUD; 28.4% of these (over 300,000) had experienced a major depressive episode in the past year (SAMHSA, 2015).
While not all professional counselors will specialize in addictions counseling, given this prevalence it is likely counselors will need to provide services to individuals with an SUD (Chandler, Balkin, & Perepiczka, 2011; Harwood, Kowalski, & Ameen, 2004; Salyers, Ritchie, Cochrane, & Roseman, 2006). In addition, professional counselors are more than likely to come into contact with clients of any age who are impacted by someone else’s addiction (e.g., friend, family member). This may explain why the Council for Accreditation of Counseling and Related Educational Programs (CACREP; 2016) requires that all counselors-in-training, regardless of counseling specialty, learn about the theories and etiology of addictions. Salyers et al. (2006) found little consensus among CACREP-accredited programs in how addictions issues were addressed; in fact, when asked where substance abuse was covered in the curriculum, more than 25 different courses were listed by CACREP program representatives. Counselors-in-training learn about addictions in a variety of ways, such as by taking a course in addictions, encountering clients with addictive behaviors in practicum or internship, or learning about addictions in other courses. Since addictions-related training seems to occur throughout the counseling curriculum, all counselor educators, regardless of their particular area of specialty, should maintain an awareness of current trends in addictions science and theory.
Given that knowledge of addictive behaviors is an important aspect of professional counselor identity (CACREP, 2009; 2016), it is necessary that professional counselors have access to scientific information and practice-oriented resources on addiction that are consistent with the philosophical orientation of the profession. Whereas related professions, such as psychology, public health and social work, produce peer-reviewed publications on addictions and addictions treatment that can be utilized by professional counselors, these resources may not reflect the qualities that make professional counseling unique. Examining the state of the counseling literature on addictive behaviors and additions counseling can inform efforts to improve access to scientific information and evidence-based practices that represent the core philosophy of the counseling profession. Further, an assessment of available addictions research can help to shed light on the state of the counseling profession, as production of original research has been regarded as a standard for measuring the identity development of a profession (Mate & Kelly, 1997).
Research on trends in addictions publications in professional counseling is scarce. Moro, Wahesh, Likis-Werle, and Smith (2016) utilized content analysis to investigate the frequency and type of addictions content within a sample of Association for Counselor Education and Supervision conference programs and four ACA-sponsored journals (JCD, Counselor Education and Supervision, Counseling Outcome Research and Evaluation [CORE], and Measurement and Evaluation in Counseling and Development) that appeal to counselor educators. These authors found that about 2% of conference sessions and articles between 2007 and 2011 addressed addictions counseling. Most of the articles identified in this analysis focused on treatment strategies, particularly among diverse populations. Although the study by Moro et al. is informative, it is limited in that it comprised a 5-year time period and included only a small subset of professional counseling journals. Examining all professional counseling journals during a lengthier time frame would provide professional counselors and researchers with a more comprehensive snapshot of what aspects of addictions theory, prevention, intervention and treatment have been discussed within the counseling literature. This information can be used to inform efforts to promote the production of research and publications that address specific areas of addiction that are currently lacking.
The purpose of the present study was to provide an overview of available literature on addictions topics in professional counseling journals published between January 2005 and December 2014. Moreover, the types of addictions content, addictive behaviors and addictions-related research were examined. The research questions that guided this study were: (1) To what extent do counseling journals address addictions topics? (2) What addictive behaviors and types of content were addressed? (3) How much addictions research was published in counseling journals? and (4) What types of populations and data analytic techniques were represented in this research?
Methods
Content analysis was utilized to address the research questions. This methodology was selected because content analysis is a systematic approach to summarize and make valid and replicable inferences from written communication (Krippendorff, 2013). A review of the literature shows that content analysis has served as a valuable methodology to identify publication trends over time and highlight attention on specific topics within the counseling profession. Content analysis has been used in the counseling literature to examine topics such as multicultural counseling (Arredondo, Rosen, Rice, Perez, & Tovar-Gamero, 2005), pedagogy in counselor education (Barrio Minton, Wachter Morris, & Yaites, 2014), and research in counseling (Ray et al., 2011). Studies by Barrio Minton et al. (2014), Arrendondo et al. (2005), and Ray et al. (2011) were of journal articles during a similar time frame as the present study (i.e., 10 years). Content analysis procedures used in this study include identifying articles, generating and refining the content analysis protocol, conducting a pretest, data collection, assessment of reliability and validity, and reporting the results.
The research team consisted of three professors and two master’s-level graduate students. The professors each possess a doctoral degree in counselor education and specialize in addictions counseling. Two professors identify as White females and one professor is a White male. The graduate assistants, both White females, hold bachelor’s degrees in psychology, completed a course in counseling research methods, and participated in a workshop on content analysis facilitated by the first author before joining the research team. The graduate assistants were responsible for searching for applicable articles using predetermined keywords and identifying the total number of articles for each journal during the time period; the three assistant professors (first, second, and third authors) participated in the search for articles as well as in the development of the content analysis protocol and coding process.
The Professional Counselor, published by NBCC, the Journal of Counselor Leadership and Advocacy, published by CSI, and 21 ACA and ACA member division peer-reviewed journals (Table 1) were identified as having published articles on addictions between the years 2005 and 2014. Because the purpose of the study was to present a survey of all available articles on addictions content in professional counseling journals between 2005 and 2014, all journals were included in the analysis even if they were not in press during the entire 10-year period under analysis.
A set of keywords was generated to identify relevant articles to be used in the study. These keywords included: (a) general terms taken from the literature on addiction and addictions treatment (e.g., addiction, prevention, relapse, recovery, abstinence, co-morbidity, behavioral and process addictions, and mutual support groups); (b) terminology drawn from the Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.; DSM-IV-TR; American Psychiatric Association, 2000) and the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; American Psychiatric Association, 2013), such as substance use disorders, dependence, intoxication, withdrawal, substance abuse and opioid maintenance; and (c) a list of drug classifications (and common pseudonyms) from the DSM-IV-TR and DSM-5, including alcohol (drinking), amphetamine, cannabis (marijuana), cocaine, hallucinogen, opioid, stimulant, gambling, inhalant, sedative, caffeine and nicotine (tobacco, smoking).
Two graduate assistants independently conducted electronic searches using PsycINFO, EBSCO and ERIC of the keywords, titles and abstracts of all articles (editorial statements, book reviews, errata and advertisements excluded) during the specified time period to identify relevant articles and provide the total number of articles published for each journal. Journals not indexed within these electronic databases were searched by reading the electronic version of each issue’s table of contents and article abstracts and keywords. Following this process, the first author met with the graduate assistants in order to reconcile any differences between their lists of applicable texts and total number of journal articles found. A preliminary list of 226 articles was identified and reviewed by each author to determine suitability for the study. Fifteen articles were removed from the analysis because they did not discuss addictions or addictions treatment; for example, two articles included the keyword “substance abuse” in the abstract, but not in the article itself. To maintain independence, one article was removed because it had been published twice.
The authors developed a content analysis protocol that included definitions and categories for each coding variable. To address research questions 1–3, the following variables were developed: (a) addiction-related content topic, (b) addictive behavior and (c) type of research article. In order to assess research question 4, (d) data analytic technique and (e) research population also were included as variables. Categories of each variable were initially developed by the authors based on their knowledge of the addictions literature as well as past content analysis research of counseling journals. The authors then pretested the protocol by coding 40 randomly selected articles within the sample (approximately 20%) to purify the coding scheme and conduct a preliminary assessment of coder agreement. Following this process, the authors met to refine existent category definitions, agree on the inclusion of additional variable categories and determine which variables would be single versus multiple classification. High inter-rater agreement (85% or higher) across all five study variables was observed among the three coders during the pilot phase. A pattern was not observed in the disagreements among the coders, suggesting that the framework possessed acceptable construct validity (Insch, Moore, & Murphy, 1997).
Once the protocol was refined, all articles were coded independently by two members of the research team (first, second, and third authors). Krippendorff’s alpha (Krippendorff, 2013), with a minimum acceptable value set at α = .80, was utilized to assess agreement among the coders. This coefficient was selected to capture inter-rater reliability because it estimates error in observed agreement attributable to chance and accounts for small sample sizes. Using a reliability measure designed for small samples was an important consideration because research question 4 relates only to a smaller subset of the sample used in the study. Further, the use of two coders for each article was to ensure that the total number of observations for each variable in this study exceeded the minimum number recommended by Krippendorff (2013) for an alpha value greater than .80 at the .01 level of significance (i.e., according to Krippendorff [2013] two coders would have to code at least 103 units). The “odd-man-out” procedure recommended by Insch et al. (1997), in which a third coder determined the final category when differences emerged, was used to reconcile disagreements between coders.
Coding Variables
Five variables were identified by coders in the study. All articles (N = 210) were coded utilizing three of the variables: addiction-related content topic, addictive behavior and type of research. Two variables were used to code research articles identified within the sample. Percentage of agreement (observed agreement [OA]) and Krippendorff’s alpha (α) were calculated for each variable.
Addiction-related content topic. The purpose of this variable was to identify the area of addictions counseling and research that the article addressed. Categories were initially drawn from content analyses by Ray et al. (2011) and Moro et al. (2016) and modified for the present study. Because the purpose of this variable was to identify the main content focus of the articles, a single classification system was used, which meant that coders were required to assign each article to one category. The use of a single classification system is recommended when coding variables that represent latent meaning and require greater interpretation by the coder (Insch et al., 1997). The variable included the following categories: approaches to counseling, professional practice, population variables, client variables, counselor variables, measurement, and effectiveness of counseling and preventative interventions (OA = 87.6%; α = .85). Approaches to counseling included articles that presented specific addictions-related counseling techniques, models or treatment programs. The professional practice issues category contained articles that described addiction-related counselor training, credentialing, ethics, diagnosis or trends in the field. Population variables included articles that described characteristics of a non-clinical population; the client variables category contained articles that addressed addictions or addictions counseling within a clinical population. Articles on the characteristics or perceptions of professional counselors were assigned to the counselor variables category. The measurement category included any article with a focus on instrument development, formal assessment or psychometrics. Effectiveness of counseling and preventative interventions represented articles that focused on evaluating an intervention or prevention program or technique.
Addictive behavior. This variable represented the types of addictive behavior addressed in the articles. Coders were instructed to record all addictive behaviors and substances described in each article (i.e., multiple classification) using a list of categories that included relevant keywords developed by the researchers for the text search. If a specific type of behavior or substance was not discussed, coders labeled the article as general substance use. Categories representing specific behaviors and substances included: general substance use, alcohol, nicotine, opioids, cannabis, stimulants, ecstasy and behavioral addictions (OA = 95%; α = .90).
Type of research. Each article was coded as non-research, qualitative, quantitative or mixed methods (OA = 98.5%; α = .98). Classifications were based on past content analysis research of counseling journals (Moro et al., 2016; Ray et al., 2011), and coders were required to assign each article to one category. Articles that were assigned to the three research categories (i.e., qualitative, quantitative and mixed methods) were used to address research question 4.
Data analysis. All research articles were coded in order to determine the types of data analytics used by the authors. The coding variable included 15 categories (i.e., descriptive statistics, regression analysis, theme analysis and coding, chi-square test, multivariate analysis of variance/multivariate analysis of covariance, correlation, analysis of variance/analysis of covariance, structural equation modeling, t-test, confirmatory factor analysis, exploratory factor analysis, other nonparametric test, discriminant analysis, canonical analysis, and cluster analysis), and coders were instructed to assign each article to multiple categories when appropriate (e.g., case where a single research article included multiple types of analysis; multiple classification). The scheme for grouping different types of data analysis was based on a framework by Erford et al. (2011) in their content analysis of articles published in JCD. Percentage of agreement among coders in the present study was 82.4% and α = .79. Because inter-rater reliability is slightly below the recommended minimum of .80 (Krippendorff, 2013), readers are encouraged to interpret these results with caution.
Research population. The various populations examined in the research articles were recorded using this variable (OA = 91%; α = .88). Because an article could potentially include multiple populations (e.g., African American, male, college students), coders were instructed to code each article with as many categories as necessary (i.e., multiple classification). When coding, research team members used a preliminary list of possible categories derived from several previous content analysis studies of counseling journals (Byrd, Crockett, & Erford, 2012; Smith, Ng, Brinson, & Mityagin, 2008). This resulted in 11 discrete categories: undergraduates, children and adolescents, adults (non-college, 18 years and older), families, men only, women only, clients in addictions treatment, addictions professionals, counseling students, multicultural populations and LGBT populations. To improve the conciseness of the findings, several smaller categories were combined to create the multicultural populations category. A twelfth category was designated for articles that did not include a research sample.
Results
Research Question 1: To What Extent Do Counseling Journals Address Addictions Topics?
Table 1 provides a listing of counseling journals as well as the number of addictions-related articles in relationship to total publication. The percentage of the total number of addictions-related articles in comparison to total number of published articles was 4.5%. As expected, the Journal of Addiction & Offender Counseling (JAOC) published the highest percentage of addictions articles (76.1%). The journal with the next highest percentage of addictions articles was the Journal of Military and Government Counseling (13.8%), followed by the Journal of LGBT Issues in Counseling (9.6%), the Journal of College Counseling (8.6%), and CORE (8.3%). Six journals published less than 1% of their articles on addictions: The Career Development Quarterly (0.0%), Journal of Counselor Leadership and Advocacy (0.0%), Journal for Social Action in Counseling and Psychology (0.0%), Counselor Education and Supervision (0.5%), Journal of Multicultural Counseling and Development (0.5%), and Professional School Counseling (0.9%).
The authors also examined the first research question by calculating the percentage of addictions-related articles during each year of publication. The number and percentage of addictions articles published for each year is as follows: 2005 (n = 18; 4.0%), 2006 (n = 20; 4.5%), 2007 (n = 20; 4.7%), 2008 (n = 14; 3.0%), 2009 (n = 17; 3.9%), 2010 (n = 21; 4.5%), 2011 (n = 30; 6.3%), 2012 (n = 30; 6.4%), 2013 (n = 20; 4.0%), and 2014 (n = 20; 4.7%). The percentage of addictions articles remained relatively stable during this period; however, a slight increase in the percentage of articles published on addictions was observed in 2011 and 2012.
Research Question 2: What Types of Addictive Behaviors and Content Topics Were Addressed?
All seven categories included in the addiction-related content topic variable were represented in the data. The highest number of addictions articles focused on population variables (n = 57; 27%), or addictions issues within non-clinical groups. The content topics approaches to counseling (n = 43; 20%) and professional practice issues (n = 39; 19%) were the second and third most represented categories. Fewer addiction-related articles were published on the following content topics: client variables (n = 20; 10%), measurement (n = 18; 9%), effectiveness of counseling and preventative interventions (n = 17; 8%), and counselor variables (n = 16; 7%).
Additional analysis revealed that among the 18 articles in the measurement category, 14 different assessment instruments were represented. Whereas most instruments (n = 10) were discussed in only one article each, the Substance Abuse Subtle Screening Inventory-3 (SASSI-3; Miller & Lazowski, 1999) was included in eight of the articles in this category. Three instruments were included in two articles: the Core Alcohol and Drug Survey (Core Institute, 1994), CAGE questionnaire (Ewing, 1984) and the Michigan Alcohol Screening Test (Selzer, 1971). Further, additional analysis of the effectiveness of counseling and preventative interventions category found that only four articles addressed prevention; three of these articles discussed a similar intervention to prevent college student drinking and one presented findings of an evaluation of a school-based substance abuse prevention program.
Table 1
Addiction Articles in Professional Counseling Journals, 2005–2014
| Journal |
No. of Addiction Articles Found
|
No. of Total
Possible Articles
|
% Addiction to No. of Total
Articles
|
| The Professional Counselor |
5
|
113
|
4.4
|
| Journal of Counselor Leadership & Advocacy |
0
|
13
|
0.0
|
| Journal of Counseling & Development |
9
|
561
|
1.6
|
| Adultspan Journal |
5
|
101
|
5.0
|
| The Career Development Quarterly |
0
|
282
|
0.0
|
| Counseling and Values |
6
|
191
|
3.1
|
| Counselor Education and Supervision |
1
|
199
|
0.5
|
| Journal of Addiction & Offender Counseling |
70
|
92
|
76.1
|
| Journal of College Counseling |
14
|
163
|
8.6
|
| Journal of Employment Counseling |
5
|
182
|
2.8
|
| Journal of Humanistic Counseling |
3
|
175
|
1.7
|
| Journal of Multicultural Counseling and Development |
1
|
194
|
0.5
|
| Counseling Outcome Research and Evaluation |
4
|
48
|
8.3
|
| The Family Journal |
17
|
554
|
3.1
|
| Journal of Creativity in Mental Health |
15
|
251
|
6.0
|
| Journal of LGBT Issues in Counseling |
13
|
136
|
9.6
|
| Journal of Mental Health Counseling |
11
|
244
|
4.5
|
| Journal for Social Action in Counseling and Psychology |
0
|
87
|
0.0
|
| The Journal for Specialists in Group Work |
5
|
209
|
2.4
|
| Measurement and Evaluation in Counseling and Development |
8
|
176
|
4.6
|
| Professional School Counseling |
4
|
432
|
0.9
|
| Rehabilitation Counseling |
10
|
208
|
4.8
|
| Journal of Military and Government Counseling |
4
|
29
|
13.8
|
| Total |
210
|
4,640
|
4.5
|
| Note. The first issue of The Professional Counselor was published in 2011; Counseling Outcome Research and Evaluation was first published in June 2010; Journal of LGBT Issues in Counseling was first published in October 2008; Journal for Social Action in Counseling was first published in April 2007; Journal of Creativity in Mental Health was first published in September 2007; the first issue of Journal of Military and Government Counseling was published in January 2013; the first issue of the Journal of Counselor Leadership and Advocacy was published in 2014. |
The addictive behavior coding variable also was used to assess this research question. General substance use was by far the most represented addictive behavior in the articles (n = 142; 68%), followed by alcohol consumption (n = 46; 22%) and behavioral addictions (n = 11; 5%). Specific substances were addressed in fewer articles: nicotine (n = 8; 4%), opioids (n = 4; 2%), stimulants (n = 4; 2%), cannabis (n = 3; 1%) and ecstasy (n = 1; 0.5%). The total values exceed the actual number of research articles included in the analysis because some articles addressed more than one addictive behavior. In the behavioral addictions category, sex addiction was addressed in three articles, three articles included a general discussion of behavioral addictions, and addictions to gambling, gaming, Internet, self-injury and food were each mentioned once.
Research Question 3: How Much Addictions Research Was Published in Counseling Journals?
This research question was addressed using the type of research coding variable. Approximately 60% of addictions-related articles (n = 127) were original research. Among these articles, 82% were quantitative (n = 104) and 13% were qualitative (n = 17). Mixed methods was the smallest category (n = 6), representing 5% of all addictions research. Articles coded as “non-research” (n = 83) included innovative methods papers, professional practice papers, interviews, and literature reviews on topics such as counseling theory and special populations.
Research Question 4: What Types of Populations and Data Analytic Techniques Are Represented in the Addictions Research?
Research population and data analysis were the coding variables used to assess this research question. Table 2 lists the various types of participants used in the addictions-related research articles. The most common population examined was adults (n = 49; 40%), or individuals (18 years and older) not enrolled in college, followed by undergraduates (n = 36; 29%) and addictions professionals (n = 26; 21%). The total values exceed the actual number of research articles included into the analysis because some articles included more than one population. The multicultural populations category represented a number of ethnic groups including African Americans, Native Americans and Hispanic Americans, as well as a sample of participants in Korea. Three articles were not included in this analysis because they did not involve research with human subjects (e.g., content analysis of substance use screenings).
| Table 2 Types of Participants Used in Addictions Research Articles |
| Population |
Count |
%
|
| Adults |
49
|
40
|
|
| Undergraduates |
36
|
29
|
|
| Addictions Professionals |
26
|
21
|
|
| Clients in Addictions Treatment |
18
|
15
|
|
| LGBT Populations |
13
|
10
|
|
| Children and Adolescents |
9
|
7
|
|
| Multicultural Populations |
9
|
7
|
|
| Men Only |
8
|
6
|
|
| Families |
5
|
4
|
|
| Women Only |
4
|
3
|
|
| Counseling Students |
2
|
2
|
|
| Note. Three articles were removed because they did not include human subjects (n = 124). Some articles include more than one population. Therefore, the total values may exceed the actual number of research articles accepted into the analysis. |
|
|
|
|
|
All 15 data analytic techniques were represented within the addiction-related research articles (Table 3). Descriptive statistics (n = 34; 27%), regression analysis (n = 31; 24%) and theme analysis/coding (n = 22; 17%) were the most used techniques. Data strategies less likely to be utilized include discriminant analysis (n = 4; 3%), canonical analysis (n = 3; 2%) and cluster analysis (n = 1; 1%). The total values exceed the actual number of research articles included in the analysis because some articles utilized more than one data analysis strategy.
| Table 3 Type of Data Analysis Used in Addictions Research Articles |
| Data Analytic Procedure |
Count
|
%
|
| Descriptive Statistics |
34
|
27
|
|
| Regression Analysis |
31
|
24
|
|
| Theme Analysis/Coding |
22
|
17
|
|
| Chi-Square Test |
16
|
13
|
|
| MANOVA/MANCOVA |
14
|
11
|
|
| ANOVA/ANCOVA |
13
|
10
|
|
| Correlation |
12
|
9
|
|
| Structural Equation Modeling |
10
|
8
|
|
| t-test |
9
|
7
|
|
| Confirmatory Factor Analysis |
7
|
5
|
|
| Exploratory Factor Analysis |
5
|
4
|
|
| Other Nonparametric |
5
|
4
|
|
| Discriminant Analysis |
4
|
3
|
|
| Canonical Analysis |
3
|
2
|
|
| Cluster Analysis |
1
|
1
|
|
| Note. Some articles used more than one procedure. Therefore, the total values may exceed the actual number of research articles accepted into the analysis (n = 127). MANOVA = multivariate analysis of variance; MANCOVA = multivariate analysis of covariance; ANOVA = analysis of variance; ANCOVA = analysis of covariance. |
|
|
|
|
|
Discussion
Articles published in 23 professional counseling journals between January 2005 and December 2014 were examined to assess the scope with which addictions were represented in the professional counseling literature. Overall, 210 (4.5%) of the 4,640 articles published addressed addictions content. Not surprisingly, JAOC, a publication sponsored by the International Association of Addictions and Offender Counselors, contained the most articles on addictions. It also is noteworthy that several journals with higher percentages of addictions articles were launched within the period of time the analysis was conducted (e.g., Journal of Military and Government Counseling and Journal of LGBT Issues in Counseling). The introduction of these journals may suggest that increased attention is being given to addictions issues or, at the very least, to populations that are more vulnerable to experiencing the consequences of addictive behaviors.
The higher percentage of articles in 2011 and 2012 may have been associated with changes to addictions-related professional training and diagnostic considerations that occurred around these years. In 2009, CACREP introduced an addictions counseling specialty area and added language in their standards requiring all students to learn about the etiology, prevention and treatment of addictions; therefore, it is possible that during the years following these changes, there was an increased interest in the teaching of addictions content to counselors-in-training. Alternatively, the revised formulation for the diagnosis of SUD in the DSM-5, published in 2013, also may have contributed to the increase in addictions articles. Leading up to the publication of the DSM-5 there may have been greater discussion as to how addictive disorders are conceptualized and assessed.
The most common type of article published addressed addiction-related issues within non-clinical populations; fewer articles focused on topics specific to individuals receiving addictions counseling. Even fewer articles included research on outcomes of prevention and counseling interventions. The presence of only four articles in the sample (1.9%) that assessed the efficacy of prevention efforts is concerning given that prevention has been found to be a key facet of professional counselor identity (Mellin, Hunt, & Nichols, 2011) and is considered by CACREP (2016) as “foundational knowledge” (p. 8) for all counseling professionals. This discrepancy may suggest that despite being regarded as an important component of professional training and identity, little is actually done pertaining to prevention practice and research by professional counselors.
Although relatively few articles in the sample included addictions outcomes research, it is promising that CORE was established by the Association for Assessment and Research in Counseling in 2010 as a venue for outcomes research and program evaluation findings (Hays, 2010). Since the inception of CORE, its publication of addiction research has resulted in it being one of the top five journals in our study publishing on addiction topics.
Among the assessment instruments in articles that focused on addictions-related measurement issues, the SASSI-3 (Miller & Lazowski, 1999) was the most commonly discussed. The amount of attention given to the use of the SASSI-3 appears to be warranted considering the popularity of this instrument among professional counselors and clinical mental health counselors in particular. In a national survey of counselor assessment practices by Peterson, Lomas, Neukrug, and Bonner (2014), the SASSI-3 was the highest ranked test of addictive behaviors among all professional counselors. Among clinical mental health counselors, it was the third highest ranked inventory overall, behind the Beck inventories for depression and anxiety. Further, Neukrug, Peterson, Bonner, and Lomas (2013) found that more than three-quarters of counselor educators who teach assessment use the SASSI-3 in their courses. Despite the widespread use of the SASSI-3, it does have its limitations; the SASSI-3 can be cost prohibitive for some clients and requires that those who use it receive specialized training. As a result, examining the psychometric properties of other instruments, specifically measures that are free or more cost effective and do not require specialized training to interpret, seems prudent.
The limited number of articles addressing specific types of addictive behaviors is problematic. Although common physiological and psychosocial processes exist across all addictive behaviors, there also are unique factors associated with the etiology, prevention and treatment of the various drug classifications and behavioral addictions (Brooks & McHenry, 2015). Indeed, prevention and intervention efficacy often correlate with information tailored to each need. In light of the current opioid and prescription drug epidemic—a 137% increase in drug overdose deaths and 200% increase in opioid deaths from 2000 to 2014 (Rudd, Aleshire, Zibbell, & Gladden, 2016)—examining the prevention and treatment of this specific classification of substances would be a prudent area of research.
Analysis of addictions-related research revealed that nearly two-thirds of all articles in the sample represented original empirical research. This is higher than what Ray et al. (2011) found in their content analysis of 15 counseling journals in print between 1998 and 2007; these authors found that approximately one in three articles published included original research. These findings suggest that despite addictions not being a topic commonly discussed across counseling journals, there may be greater attention to conducting research on addictive behaviors by counseling researchers. Or, this may reflect an overall trend among counseling journals to publish research since the final year (2007) of the content analysis conducted by Ray et al. (2011). The level of sophistication of data analysis in the articles in this sample is comparable to findings from past content analyses of long term publication trends in specific counseling journals; for instance, descriptive statistical techniques were among the most commonly used methods of analysis in JCD (Erford et al., 2011) and Journal of College Counseling (Byrd et al., 2012).
One of the most commonly used groups in addictions research was college students, which may indicate an over-reliance on the use of convenience sampling across institutions of higher education. A concerning trend observed in the data was that addictions professionals were utilized more as research participants than were clients in addictions treatment. Greater attention to understanding individuals who are enrolled in treatment can help researchers and professional counselors identify successful ways to tailor and personalize counseling interventions to fit the needs of specific client populations. In addition, although several articles used diverse populations, fewer studies examined addictions issues among discrete groups of men and women only. Moreover, twice as many articles were found that focused on men compared to women only. Additional research examining gender differences is necessary considering that men and women face unique issues related to the development and treatment of addictive behaviors (National Institute of Drug Abuse, 2015).
Limitations
The findings of this study should be viewed within the context of several limitations. An advantage of content analysis is that it can be used to help organize and summarize large quantities of information; however, by assigning each individual article to a category, it is possible that some distinctive characteristics of the articles in the sample may have been lost or trivialized (Riffe, Lacy, & Fico, 2014). In addition, the process of creating categories for the articles is researcher-driven and, even though efforts were made to develop the coding framework using the available literature, it is possible that different researchers would not have created the same levels of the study variables.
Other limitations relate to data collection and the coding process. Since the purpose of the present study was to analyze articles that focused on addictions, the sample was developed through a review of journal titles, abstracts and keywords only—an approach utilized in previous content analyses of specific topics within the counseling literature (Barrio Minton et al., 2014; Evans, 2013). In the unlikely event that an article focusing on addictions did not include one of the search terms in these three areas, it would not have been included in this study. Also, this study did not include articles in counseling journals that are affiliated with regional or statewide counseling organizations, such as The Journal of Counselor Preparation and Supervision, published by the North Atlantic Region Association for Counselor Education and Supervision, or the Virginia Counselors Journal, which is the journal of the Virginia Counseling Association. The authors chose to restrict their data collection to include only journals produced by NBCC, CSI, ACA and ACA member divisions because they believed that a content analysis of articles sampled from these national publications would provide a general overview of the addictions-related content discussed throughout the counseling literature.
Although inter-rater agreement among coders for most variables was satisfactory, reliability for coding the data analysis variable was lower than the minimal acceptable threshold suggested by Krippendorff (2013). Possible reasons for low concordance include the number of categories for this variable and the inconsistencies in how data analytic techniques were described within the various articles in the sample. Finally, as this study presented an overview of the types of addictions-related articles published in counseling journals, the quality of the publications was not evaluated during the coding process. This may be a possible next step for counseling researchers that could yield more rigor and, subsequently, evidence-based practices for addictions prevention and counseling.
Implications for Professional Counselors
According to the ACA Code of Ethics (2014), “Counselors have a responsibility to the public to engage in counseling practices that are based on rigorous research methodologies” (Section C, p. 8). When addressing issues related to addictive behaviors, professional counselors have a modest yet relatively diverse literature available to help guide their practice. Despite the fact that a large number of articles in the sample described approaches to addictions counseling, many of these papers were conceptual in nature and did not include original empirical research to assess counseling outcomes. To better assist professional counselors in using research-informed approaches, it is necessary for greater attention to be given by counselor educators and researchers to producing addictions-related intervention research and program evaluations.
The limited number of articles that evaluated treatment approaches also may represent a more endemic issue in counseling and counselor education. Many professional counselors report not feeling adequately prepared to operationalize and measure client outcomes, despite recognizing the need for these skills in their work (Peterson, Hall, & Buser, 2016). Although these skills have been identified as key research competencies in counselor education (Wester & Borders, 2014), it is unclear how these competencies are addressed in entry-level and doctoral research curricula. Researchers may wish to examine the ways in which professional counselors and counselor educators learn how to evaluate treatment outcomes. This may help inform the development of new pedagogical strategies that lead to an increased production of outcomes research on approaches to counseling and prevention in counseling journals.
In addition to a call for research on counseling outcomes, it also seems apparent that there is a need for more sophisticated research questions and hypotheses in research conducted on addictive behaviors. Addiction is a multifaceted phenomenon that involves the interplay of multiple biological, psychological and social determinants (American Society of Addiction Medicine, 2011); therefore, the use of descriptive statistics or univariate procedures may not capture the complexities of how addictive behaviors are initiated, maintained and extinguished. The use of more sophisticated data analytic techniques by researchers may help address this issue. Structural equation modeling can be utilized to simultaneously test the fit of an explanatory model of addictive behavior comprised of multiple independent and dependent variables. For example, Wahesh, Lewis, Wyrick, and Ackerman (2015) utilized structural equation modeling to evaluate the fit of a mediational model of collegiate drinking that included multiple determinants of alcohol use. Alternatively, qualitative methods can be used by researchers to provide an in-depth understanding of how various interpersonal, social and cultural variables shape individual behavior (Likis-Werle & Borders, 2017).
One way that counseling journals can increase the publication of articles that address specific issues related to addiction is by offering a special issue or section on these topics. Journal editors can develop a call for papers that focus on addictions-related issues salient to their publication’s readership. Depending on the particular journal’s audience, this can include examining prevention, a specific classification of addictive behaviors, or intervention outcomes, areas that were not well represented in the current sample of articles. For example, in 2011 CORE dedicated a special section (Volume 2, Issue 1) to substance abuse outcome research and measures. The use of special issues or sections across counseling journals can ensure that professional counselors have access to information that is germane to their work. JAOC may seem like a natural venue for topics related to addictions in counseling; however, that perception is problematic because JAOC is geared toward addictions and offender counselors, making it possible that the particular populations studied, findings and implications in articles published in this journal are not as relevant to professional counselors in other settings.
Although journal articles represent an important source of professional development, it is possible that professional counselors utilize other venues for continuing education. Future researchers can examine continuing education practices of counselors to determine the particular sources of education and whether or not the information provided through these venues is consistent with the typical scope of practice and professional identify of the counseling profession. Relatedly, it also seems necessary to determine where else counseling researchers and counselor educators publish their research on addictions counseling. While counselor educators in CACREP-accredited programs are expected to demonstrate scholarly activity in counseling (CACREP, 2016), it is possible that some addictions counselor educators publish in journals outside of counseling that specialize in addictions or have higher impact factors. Journal impact factors are a method of determining a journal’s significance in comparison to other journals in the field. Some counselor educators may seek to publish in journals with a more favorable impact factor for evaluation purposes related to faculty tenure and promotion (Fernando & Barrio Minton, 2011). Assessing author publication trends by reviewing the curriculum vitae of addictions counselor educators can help identify the journals in which they most frequently publish. Examining these trends can identify the types of addictions-related research and other scholarly work that are being produced by counselor educators and counseling researchers but are not appearing in counseling journals.
Conflict of Interest and Funding Disclosure
The authors reported no conflict of interest
or funding contributions for the development
of this manuscript.
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Edward Wahesh, NCC, is an Assistant Professor at Villanova University. S. Elizabeth Likis-Werle is an Assistant Professor at East Tennessee State University. Regina R. Moro, NCC, is an Assistant Professor at Boise State University. Correspondence can be addressed to Edward Wahesh, Villanova University, Education and Counseling (SAC 302), 800 E. Lancaster Avenue, Villanova, PA 19085, edward.wahesh@villanova.edu.
