Further Validation of the Consultation Skills Scale (CSS): Relationships Between Consultation Skills, Supervisory Working Alliance, and Interprofessional Collaboration

Gulsah Kemer, Jeffry Moe, Kaprea F. Johnson, Emily Goodman-Scott, Zahide Sunal, Chi Li

 

We conducted a confirmatory factor analysis (CFA) to obtain validity support for the Consultation Skills Scale (CSS) in a sample of 369 counseling professionals and interns. Upon obtaining a poor model fit from an initial CFA, we utilized modification indices and removed nine items from the CSS. As a result, we achieved a better model fit for the shorter 8-item instrument (CSS-S). To further examine validity of the CSS-S, we also explored the relationships between counselors’ consultation skills and two related professional activities, ability to foster supervisory working alliance and ability to engage in interprofessional collaboration. We discuss the results along with the implications for further practice and research as well as limitations to the current study.

Keywords: consultation skills, confirmatory factor analysis, counseling professionals, supervisory working alliance, interprofessional collaboration

As an important component of counselors’ scope of practice (Kurpius & Fuqua, 1993; Scott, Royal, & Kissinger, 2015), consultation is included in the Council for Accreditation of Counseling and Related Educational Programs (CACREP; 2015) standards, referenced in the American Counseling Association (ACA) Code of Ethics (2014), and supported as a best practice for helping counselors resolve ethical dilemmas (Sangganjanavanich & Lenz, 2012). Literature on consultation encompasses diverse professional perspectives, models, and theoretical frameworks (Brown, Pryzwansky, & Schulte, 2011; Goodman-Scott, 2015; Moe, Perera-Diltz, & Sepulveda, 2010). In an attempt to define consultation for professional counselors, Scott et al. (2015) proposed that consultation is a professional helping relationship in which a consultant seeks to foster growth and change to benefit the consultee, the consultee’s clients, and the organizational context in which the consultee provides services. Both mental health and school counselors utilize consultation to enhance practice and support recognized standards of care. As a distinct mode of intervention, consultation is recognized as a key component of the Multicultural and Social Justice Counseling Competencies (Ratts, Singh, Nassar-McMillan, Butler, & McCullough, 2015), in which counselors are strongly encouraged to act outside of the counselor–client dyad to advocate for the competent provision of services to marginalized groups.

 

Consultation as a Distinct Area of Practice

In the consultation literature, scholars tend to conflate consultation with other related practices, such as supervision and interprofessional collaboration. The practice of consultation does overlap in some areas with both supervision and interprofessional collaboration, while differing in how the duty of care toward identified clients and students is shared between professional stakeholders. In supervision, the relationship rests on a de facto hierarchy in which supervisors take on ultimate responsibility for ensuring the standard of care is being met and utilize consultation as one of their supervisory roles (Bernard & Goodyear, 2018). In interprofessional collaboration, the duty of care is co-equal across the specific roles and functions of the collaborating care providers. In consultation, on the other hand, the duty of care rests with the primary provider, though consultants are obligated to act ethically within the consultation relationship. These general comparisons between consultation, supervision, and collaboration, however, are not rigid and the skill sets, responsibilities, and best practice guidelines governing a specific relationship between two professionals may share elements of each depending on context. Developing competency in each area appears to share a common theme, though counselors and other helping professionals should be intentional about practicing through the lens of a coherent, guiding framework when engaging in supervision, consultation, or interprofessional collaboration with other professionals and on behalf of the clients and students being served. Although recent scholarship on supervision and collaboration can be found supporting the efficacy of each intervention, recent scholarship on consultation in the professional counseling literature is largely conceptual and continues to lack robust empirical grounding. In our study, we addressed these gaps by obtaining further validation of a consultation skills instrument, the Consultation Skills Scale (CSS; Moe, Perera-Diltz, & Sparkman-Key, 2018).

 

The Need for Counseling-Specific Consultation Research

Given the commonality of peer consultation and collaboration across the various health care and allied fields (Newman & Ingraham, 2017), it is imperative to consider the research base on the apparent efficacy of consultation as an adjunctive practice. Research on consultation is similar to research on clinical supervision in counseling, with outcome-based research focusing on the effect consultation has on the consultee as opposed to clients or organizational contexts. The main evidence-based outcome of consultation appears to be improvement in treatment integrity or fidelity, with this effect being documented with consultees working with both youth (Brennan, Bradley, Allen, & Perry, 2008) and adults (Collier-Meek & Sanetti, 2014). The improvement of practitioners’ treatment fidelity attributable to the effect of consultation has been documented in manualized, experimental research (Ruble et al., 2018), and with single-subject design research (Smith, Eichler, Norman, & Smith, 2015). As supervision is only mandated for counselors during distinct periods early in their training, Ruble et al. (2018) suggested that consultation as a mode of intervention is ideal for diffusing innovation and evidence-based practice throughout counselors’ career development. For example, promising results have been generated in the critical area of child and adolescent behavioral and mental health consultation, in which consultants are viewed as enhancing the standard of care being provided by another primary therapist (Vuyk, Sprague-Jones, & Reed, 2016). The ability to diffuse affirmation of lesbian, gay, bisexual, transgender, and other gender- and sexuality-diverse people as the standard of care in mental health work also appears to be supported through consultation practice (Moe et al., 2018).

In a comprehensive meta-synthesis of qualitative studies sharing a focus on consultation processes, five cross-cutting themes were identified related to best practice in consultation implementation (Newman et al., 2017). The five themes were: (a) taking system-level factors into consideration;
(b) providing consultation in a coherent and consistent manner; (c) creating space for consultee voice, social-emotional support, and learning; (d) striving for ecologically valid and culturally competent consultation practice; and (e) obtaining sufficient training to apply relational process skills before engaging in consultation (Newman et al., 2017). These themes are echoed within both classic and recent scholarship on consultation and underscore the need for training in consultation as a distinct intervention. What training is needed specifically, and how to assess training in consultation, is an overlooked area in the professional counseling and counselor education literature base. As an under-researched area of scholarship (Guiney, Harris, Zusho, & Cancelli, 2014; Sangganjanavanich & Lenz, 2012), the dearth of counseling-specific consultation research may exist because of the lack of a valid measure specifically designed to assess counselors’ consultation skills and proficiencies. Guiney et al. (2014) developed the Consultation Self-Efficacy Scale (CSES) to assess school psychologists’ relative self-efficacy for implementing consultation. Presenting a complex framework, the CSES defined consultation self-efficacy as comprised of six interconnected domains that overlap substantially with common professional helping skills (e.g., communication ability, multicultural sensitivity). This conceptual foundation for the CSES is more aligned with the profession of school psychology as opposed to counseling, limiting our ability to use it for assessing counselors’ general skills and proficiency in consultation.

Moe et al. (2018) developed the theory-based CSS, focusing on counselors’ perceived knowledge of consultation models and frameworks and related consultation skills as a distinct practice modality akin to group counseling, clinical supervision, and crisis response (Brown et al., 2011). Rather than practicing consultation as an adjunct or supplement to their preferred mode of counseling, the CSS incorporated awareness of models, interventions, and dispositions identified in the literature base as distinguishing consultation from other modes of professional helping. The items for the CSS were created using a rational-empirical approach, with the aim of developing a construct that would assess respondents’ awareness of consultation theory, process, and skills, and relative adherence to the idea that consultation is a distinct area of practice as opposed to an ad hoc one. In a study specifically examining counseling professionals’ lesbian, gay, and bisexual counseling competence in relation to their consultation skills, Moe et al. established the initial construct validity for the CSS through an exploratory factor analysis (EFA). However, Moe et al. stated that the targeted sample and sample size in the study were limited, requiring further collection of validity evidence for the CSS.

 

Purpose of the Study

In our study, we aimed at further examining the validity and reliability properties of the CSS to advance our knowledge base regarding consultation skills and proficiency among counselors. Thus, our research questions were: (1) Is the unidimensional structure of the CSS confirmed with a cross-validation sample? (2) Does the CSS demonstrate different types of validity (i.e., convergent, divergent, concurrent, incremental)? and (3) Is the derived factor internally consistent and stable? We explored validity evidence for the CSS by testing the factorial structure through a confirmatory factor analysis (CFA). We also further tested validity evidence for the instrument by assessing the relationships between participants’ scores on the CSS and two related constructs: supervisory working alliance and interprofessional collaboration. Finally, we explored the reliability properties of the CSS.

 

Methodology

 

Participants

Demographics for participant (N = 369) cultural background, gender identity, age, years of experience, counseling specialty, training in consultation, and highest degree earned are reported in Table 1. Only participants who completed all measures plus the demographic information were included in the present study.

 

Table 1

 

Self-Reported Participant Demographics (N = 369)

 

Gender Identity                                                          Number           % Total

Male                                                                101                  27.4

Female                                                             245                  66.4

Choose Not to Respond                                    23                    6.2

Cultural Heritage

White, Non-Hispanic                                      298                  81.0

Black/African American                                     9                    2.4

Latinx/Hispanic                                                 15                    4.1

Asian/Asian American                                      10                    2.7

Native American                                                 4                    1.1

Multiple Heritage                                              15                    4.1

Other Background                                              5                    1.4

Choose Not to Respond                                    12                    3.2

Highest Earned Degree

Bachelor’s                                                         80                  22.0

Master’s                                                          265                  72.0

EdS                                                                   11                    2.5

Doctorate                                                          13                    3.5

Counseling Specialty

School Counseling                                            41                  11.1

Clinical Mental Health Counseling                219                  59.3

Counselor Education                                        25                    6.8

College Counseling                                           12                    3.3

Addictions Counseling                                       7                    2.0

Rehabilitation Counseling                                47                  12.7

Other                                                                 18                    4.8

Training in Consultationa

No Training                                                       89                  24.1

Required Course                                             181                  49.0

Elective Course                                                 54                  14.7

CEUs                                                              135                  36.5

Supervised Practice                                         115                  31.2


Age

Range                                                              24 to 79

Mean                                                               51.6

SD                                                                   13.9

Practice Experience

Range                                                              6 months to 48 years

Mean                                                               17.5

SD                                                                   11.8

aTraining in consultation percentage not cumulative; participants could report more than one type of training.

 

 

Data Collection Procedure

We recruited participants via direct email and posting announcements to professional counselor-focused listservs such as CESNET and COUNSGRADS. We accessed emails through the purchase of a member email list from the American Mental Health Counselors Association, whose membership is comprised of self-identified mental health counselors, and the publicly available contact information for practicing school counselors in Virginia, as well as members of national and state school counselor professional associations. Because of the use of the web-based survey method for recruiting participants via the internet, we could not calculate a rate of response. Although we knew the total number of available emails in advance, the number of non-working emails and the presence of email firewalls prevented the assessment of how many potential respondents received the recruitment notice. Potential respondents were emailed five times over a period of three months. Of the people reached, 610 began the web-based survey but only 369 (60%) completed the study measures and demographic information to a sufficient extent for inclusion as a participant. We used this particular sampling method to identify practicing counselors affiliated with ACA and its divisions and branches. We aimed to generalize results of the current study to the ACA community, comprised of a diverse national and international group of practicing counselors and very similar groups. We also used an incentive raffle to encourage participation, and participants had the opportunity to win one of two $25 electronic gift cards.

 

Instruments

     Demographic information form. The demographic information form was administered to obtain information about the participants’ ethnicity, age, gender, educational background, years of counseling experience, specialty area, current position, consultation training, supervision training, and experiences of consultation and supervision.

     CSS. Moe et al. (2018) developed the CSS to assess counselors’ awareness of consultation theory and related consultation skills. In the CSS, Moe et al. aimed at differentiating consultation from other areas of practice, while keeping the focus applicable across counseling specialties. The CSS’s specific focus on consultation practice supports the evaluation of training and practice in consultation as a distinct modality relative to other professional counseling practice domains. With a sample of 145 counseling professionals and interns, Moe et al. conducted an EFA on the 19-item CSS using a maximum likelihood extraction with direct oblimin rotation. In the preliminary analysis, the unrotated solution for the EFA revealed two factors; however, a single-factor structure with 17 items appeared as the most robust solution for the CSS. Indicating validity, the CSS was positively associated with counseling experience and sexual orientation competence, and the Cronbach’s alpha coefficient for the total scale was reported as .97. The CSS utilizes a 6-point Likert scale ranging from 1 (strongly disagree) to 6 (strongly agree). In the present study, the Cronbach’s alpha coefficient for the 17-item CSS was .98.

     Supervisory Working Alliance Inventory – Supervisor (SWAI-S). Participants’ perceptions of being able to establish a working alliance in counselor supervision were assessed with the Supervisory Working Alliance Inventory – Supervisor Scale (SWAI-S; Efstation, Patton, & Kardash, 1990). The SWAI-S is a 23-item, 7-point Likert scale ranging from 1 (almost never) to 7 (almost always). Client Focus, Rapport, and Identification are the three domains that comprise the overall items on the SWAI-S. The Client Focus domain emphasizes the supervisor’s contribution to the supervisee’s perception of the client. Rapport stresses the supervisor’s effort in the supervisory rapport-building process, and Identification draws attention to the supervisor’s view of the supervisee’s identification in the supervision process. Efstation et al. (1990) reported alpha coefficients for SWAI-S subscales as .71 for Client Focus, .73 for Rapport, and .77 for Identification. In the current study, we found alpha coefficients for SWAI-S subscales as .98 for Client Focus, .99 for Rapport, and .99 for Identification. Convergent and divergent validity of the scales were established through intercorrelations with the Supervisory Styles Inventory (Efstation et al., 1990). For the purposes of the current study, participants were asked to indicate the extent to which SWAI-S items were characteristic of their work with trainees during their supervision.

     Modified Index for Interdisciplinary Collaboration (MIIC). Participants’ perceptions of collaboration on interdisciplinary teams were measured with the Modified Index for Interdisciplinary Collaboration (MIIC; Oliver, Wittenberg-Lyles, & Day, 2007). The MIIC is a 42-item self-report questionnaire with a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). Including four subscales of Interdependence and Flexibility, Newly Created Professional Activities, Collective Ownership of Goals, and Reflection on Process, the MIIC’s conceptual framework is based on the original instrument, the Index for Interdisciplinary Collaboration (IIC; Bronstein, 2002); therefore, it is expected to have the same face validity with the IIC (Oliver et al., 2007). The internal consistency estimate of the MIIC, calculated as Cronbach’s alpha, was found to be .94 for the present study. The subscale internal consistency estimates were found to be .87 for Interdependence and Flexibility, .77 for Newly Created Professional Activities, .80 for Collective Ownership of Goals, and .79 for Reflection on Process (Oliver et al., 2007). For the purposes of our current study, participants were asked to specify their agreement on the MIIC statements with regards to their current primary work setting and organization.

 

Data Screening and Analyses

     Confirmatory Factor Analysis (CFA). To examine the fit for the single-factor solution of the CSS in our sample, we utilized Mplus 6 to run a CFA. Prior to conducting the analysis, we initially examined the necessary assumptions for the CFA (i.e., multivariate normality; Kline, 2011). We observed 26 cases as multivariate outliers in our sample. Upon the examination of these cases’ influence on our results with and without them, we decided to remove these outliers from the final analysis. To have a robust understanding of our CFA results, we observed multiple fit indices for the single-factor model from Moe et al.’s (2018) EFA (i.e., chi-square test, root mean square error of approximation [RMSEA], confirmatory fit index [CFI], and standardized root mean square residual [SRMSR]), as recommended by Lent, Lopez, Brown, and Gore (1996).

     Other validity analyses. We also examined convergent, divergent, concurrent, and incremental validity psychometrics of the CSS. We first explored the correlations between the CSS and the subscales of the SWAI, namely Client Focus (CF), Rapport (R), and Identification (I), for the convergent validity—as they measured similar, but not identical concepts. To explore divergent validity, we checked the correlations between the CSS, the MIIC, gender (identifying as male), and ethnicity (identifying as European American)—as all measured different concepts. Next, concurrent validity of the CSS was investigated through the examination of mean differences between participants without consultation training, those with one to two consultation training experiences, and those with three or more consultation training experiences. Finally, we tested incremental validity of the CSS via a hierarchical regression analysis in which predictive ability of the CSS was examined to predict participants’ MIIC scores beyond the variables of age, gender, and years of experience.

     Reliability analyses. Finally, we examined Cronbach’s alpha coefficient as well as split-half reliability properties of the CSS for internal reliability.

 

Results

CFA

In our sample, the CFA fit indices for the single-factor model yielded a poor model fit for single-factor solution. Specifically, although non-significance is desirable (Tabachnick & Fidell, 2013), we obtained a significant result for the chi-square test of model fit. This test is known as sensitive to sample size (Lent et al., 1996), and to account for this, we continued with examining other criteria for our model fit. We also obtained initial values for RMSEA (.12) and CFI (.90) outside the recommended criteria for fit (RMSEA < .06, CFI > .95; Hu & Bentler, 1999). The SRMSR was the only index meeting the recommended fit criteria (.04 < .08; Hu & Bentler, 1999). After this initial review, we followed Cole and Maxwell’s (2003) recommendations on examining modification indices. As a result of conducting necessary modifications, we removed nine items from the CSS, and the CFA results revealed a better fit for an 8-item version of the instrument the authors called the Consultation Skills Scale-Short Form (CSS-S; χ2(28) = 86.21, p = .00, CFI = .98, RMSEA = .075, 90% CI [.06, .90], SRMSR = .02). See Table 2 for means, standard deviations, and factor loadings of the eight items.

 

Table 2

Means, Standard Deviations, and Factor Loadings of the Items of the CSS-Short Form

Item # Item labels Ma  SD Factor Loadings
1 I know how to help consultees improve programming issues for work with identified clients. 4.31 1.63 .86
2 I know how to develop a consultation contract. 3.71 2.21 .83
3 I know how to apply established problem-solving models to address consultee concerns. 4.23 1.76 .89
4 I am familiar with systems consultation. 3.77 2.10 .87
5 I know how to operate as an external consultant. 3.97 2.05 .87
6 I know how to operate as an internal consultant. 4.16 1.85 .87
7 I know how to assess the culture and climate of consultee organizations. 3.97 1.92 .85
8 I can address theme interference effectively with consultees. 3.88 1.98 .85


a Means are based on a scale of 1 to 5.

 

Validity Analysis

We obtained initial evidence for the construct validity of the CSS-S through our CFA results. Convergent validity of the CSS-S was established through the obtained significant correlation coefficients between the CSS-S and SWAI-CF (r = .50), SWAI-R (r = .46), and SWAI-I (r = .46). Indicating divergent validity for the CSS-S, the correlation coefficients between the CSS and the MIIC, gender, and ethnicity were .34, .05, and -.03, respectively. The results of a one-way ANOVA indicated concurrent validity for the CSS-S with significant differences between the three groups of participants without consultation training, those with one to two consultation training experiences, and those with three or more consultation training experiences: [F(2,368) = 28.27, p = .00]. Participants with three or more consultation training experiences reported significantly higher consultation practice proficiency perceptions (M = 38.39, SD = 6.40) when compared to participants without consultation training (M = 26.47, SD = 8.96) or with one to two consultation training experiences (M = 32.62, SD = 9.67). Finally, showing incremental validity, the CSS-S also explained an additional 7% of the variance in participants’ MIIC scores (R2 = .132, p = .000), above and beyond the independent variables in the first (i.e., age, gender, and years of experience; R2 = .004, p > .05) and second (i.e., SWAI; R2 = .058, p = .000) blocks.

 

Reliability Analyses

The reliability analyses results showed satisfactory support for the CSS-S. For the present study, Cronbach’s alpha coefficient for the CSS was .96; no items appeared to reduce the reliability coefficient of the scale. We also examined the Spearman-Brown coefficient for the split-half reliability and obtained .96.

 

Discussion

In this study, we obtained strong results for the single-factor structure as well as validity and reliability properties for a shorter version of the CSS-S in a sample of counselors. Our results also revealed further validation for consultation as a distinct area of practice.

 

Psychometric Qualities of the CSS-S

CFA results revealed that the CSS-S is a psychometrically sound unidimensional instrument, measuring counselors’ consultation skills as a distinct modality relative to other professional counseling practice domains. In the current sample, upon poor fit of the initial single-factor solution, we further utilized modification indices and eliminated items. As a result, different than the original 17-item instrument (Moe et al., 2018), we obtained a shorter version of the CSS with eight items indicating a good CFA solution fit.

We further obtained significant results for the CSS-S via convergent, divergent, concurrent, and incremental validity procedures. For convergent validity, we found that counselors’ CSS-S scores were moderately related to the subscales of the SWAI (i.e., Client Focus, Rapport, and Identification). These relationships revealed that the CSS-S measured a similar but different competency area compared to the area of supervision. We also found that counselors’ CSS-S scores were unrelated to gender or ethno-cultural identification and were weakly related to the MIIC, establishing divergent validity. In other words, counselors’ consultation skills were distinctly different than their gender or ethno-cultural identification and separate from their interdisciplinary collaboration ability. Supporting concurrent validity, counselors’ CSS-S scores got higher as they had more consultation training (i.e., three or more consultation training experiences vs. one to two or no consultation training experiences). Beyond other variables (i.e., years of experience and supervisory working alliance), counselors’ consultation skills significantly contributed to their interdisciplinary collaboration ability, indicating incremental validity of the CSS-S.

Finally, we examined the reliability of the CSS-S by observing the internal consistency across the items. Both Cronbach’s alpha and split-half reliability results were strong, demonstrating satisfactory results for the CSS-S. The CSS-S appears to possess useful validity and reliability characteristics for assessing counselors’ perceptions of their own abilities to practice consultation and may help scholars develop more empirically grounded scholarship on consultation as a distinct mode of practice.

 

Consultation and Supervision as Related and Distinct Areas of Practice

In addition to validation of the CSS-S, our findings also point out other significant information. The domains of consultation and supervision have long been conceptually linked in the literature, primarily in terms of both serving as modalities for senior clinicians to provide support and mentorship to their colleagues (Truneckova, Viney, Maitland, & Seaborn, 2010). The consultation paradigm of consultee-based mental health consultation (Newman & Ingraham, 2017) shares similarities to clinical supervision in terms of a shared focus on promoting skill development in consultees or supervisees to work with an identified client population or presenting problem. In the Discrimination Model, consultation is presented as one of the roles of clinical supervisors while training professional counselors (Bernard & Goodyear, 2018). According to the Discrimination Model, supervisors’ engagement in a consultative, collaborative relationship is seen as a hallmark of supervisee development, in which the supervisee is invited to contribute as a peer and fellow professional expert (Bernard & Goodyear, 2018). From their phenomenological study of the supervisory relationship between female supervisors and supervisees, Mangione, Mears, Vincent, and Hawes (2011) also reported that consultation emerged as an important theme when participants reflected on how to create a collaborative environment during the supervision process. Adopting the role of consultant may enhance the supervision process for counselors-in-training (Sangganjanavanich & Lenz, 2012). For example, Granello, Kindsvatter, Granello, Underfer-Babalis, and Moorhead (2008) identified peer consultation as an intervention for promoting perspective taking and overall cognitive development in supervisees. The relationships between the counselors’ perceptions of their consultation skills and supervisory working alliance in the current study were indications of the complementary relationship between counseling professionals’ consultation and supervision roles. Our findings appear to promote the understanding that although consultation skills and different dimensions of supervisory work are intertwined, they are also distinct concepts, and expertise in one modality does not necessarily ensure expertise in the other.

 

Limitations

The current study involved limitations that need to be reported. First, we specifically targeted counseling professionals in this study and did not include participants from other fields. Another group of counselors or participants from other fields (e.g., social work, nursing) may have yielded different results than the ones we obtained in this study. Second, we did not examine some of the specific demographic variables (e.g., specialty areas, position) within our data set. Those variables may have influenced the results of the current study. Lastly, despite being part of a master list of licensed counselors, self-selection of our participants in this study could indicate participants’ interest in consultation as an area of practice. The authors may not have reached out to enough participants who lacked knowledge and experience of consultation, or had sufficient participants with experience as a supervisor to effectively complete the SWAI-S.

 

Implications for Future Research and Practice

Our results supporting the psychometric qualities of the CSS-S have both research and practical implications, many of which are connected to one another. The lack of a psychometrically sound measure of counselors’ consultation skills has limited research on consultation efficacy in the counseling literature and the research base of other helping fields (Dougherty, 2013). Assessing counselors’ perceptions of their consultation skills with the CSS-S can help to clarify and contribute to consultation efficacy research in counseling and counselor education. The small number of items on the CSS-S also offers researchers the convenience of a brief measure for participants to self-assess their consultation skills and can help clarify how this construct influences other areas of counseling practice. For example, the CSS-S may be used with participants from different specialty areas of counseling (e.g., school counseling, mental health counseling) and different professional development levels (e.g., counseling interns, counselors working toward licensure, licensed counselors) to understand the participants’ consultation skills perceptions and their potential needs. Researchers also could utilize the CSS-S to address the need for examinations of consultants’ relative competence to practice consultation from a theory-based foundation. The CSS-S could address the gap between consultation training, practice, and research. Particularly, as counselors and counselor educators prepare to operate in a modern clinical environment, where behavioral and physical health care professionals are encouraged and expected to collaborate effectively, assessing counselors’ consultation abilities could help support development of the skills necessary to operate within the integrated care paradigm. Similarly, because of the generic language of the instrument, researchers could establish the validity and reliability properties of the CSS-S with samples from other fields (e.g., social work, nursing). In these efforts, researchers also could compare professionals from different fields (e.g., counseling vs. nursing) to examine similarities and differences among the participants’ consultation skills perceptions as well as other variables (e.g., consultation training and practice experiences), and explore the discipline-specific factors that may influence how consultation is practiced and when it is considered to be an effective intervention.

Researchers have identified the process nature of consultation as an impediment to establishing the efficacy of consultation (Erchul & Sheridan, 2014). Consultants’ ability to practice consultation as a distinct helping intervention is both a process and outcome variable, and a valid measure of this construct can help to establish baseline levels of consultant ability or serve to identify when during the consultation relationship a consultant feels most capable. In tandem, counselor education programs could use the CSS-S as a baseline instrument to identify relative levels of familiarity with the consultation paradigm and tailor their consultation-related pedagogy to the needs and expectations of counselor trainees with different levels of consultation proficiency. Being able to assess consultation proficiency also can help to clarify when and what types of training are most effective. Questions related to where in the curriculum this domain should be introduced, what methods are optimal for ensuring retention and mastery, and what benchmarks exist for the development of consultation skills can be explored empirically with the measure presented in this study.

 

Conclusion

We presented the results of a psychometric investigation of the CSS-S, a derived measure assessing participants’ perceptions of their skills to practice consultation as a distinct modality based on specific knowledge and skills. The preliminary findings demonstrate support for continued use of the CSS-S in research on consultation and support previous conceptual scholarship identifying consultation as complementary to but also distinct from clinical supervision and interprofessional collaboration. Training in consultation (i.e., coursework, supervised experience, postgraduate workshop attendance) appeared to increase participants’ perceptions of consultation skills as measured with the CSS-S. Consultation is a distinct mode of counseling and behavioral health practice, and being able to assess consultants’ perceptions of their own abilities is an important step in advancing the research base on consultation theory and how this domain can be employed to promote better outcomes for clients, students, and communities, not only in educational and clinical settings, but also in integrated health care settings.

 

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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Gulsah Kemer, NCC, is an assistant professor and graduate program director at Old Dominion University. Jeffry Moe, NCC, is an associate professor at Old Dominion University. Kaprea F. Johnson is an associate professor at Virginia Commonwealth University. Emily Goodman-Scott, NCC, is an associate professor and graduate program director at Old Dominion University. Zahide Sunal is a doctoral student at Old Dominion University. Chi Li, NCC, is an assistant professor at the University of Memphis. Correspondence can be addressed to Jeff Moe, ODU Counseling and Human Services, 2106 New Education Building, Norfolk, VA 23529, jmoe@odu.edu.

Becoming a Supervisor: Qualitative Findings on Self-Efficacy Beliefs of Doctoral Student Supervisors-in-Training

Melodie H. Frick, Harriet L. Glosoff

Counselor education doctoral students are influenced by many factors as they train to become supervisors. One of these factors, self-efficacy beliefs, plays an important role in supervisor development. In this phenomenological, qualitative research, 16 counselor education doctoral students participated in focus groups and discussed their experiences and perceptions of self-efficacy as supervisors. Data analyses revealed four themes associated with self-efficacy beliefs: ambivalence in the middle tier of supervision, influential people, receiving performance feedback, and conducting evaluations. Recommendations for counselor education and supervision, as well as future research, are provided.

Keywords: supervision, doctoral students, counselor education, self-efficacy, phenomenological, focus groups

Counselor education programs accredited by the Council for Accreditation and Related Educational Programs (CACREP) require doctoral students to learn supervision theories and practices (CACREP, 2009). Professional literature highlights information on supervision theories (e.g., Bernard & Goodyear, 2009), supervising counselors-in-training (e.g., Woodside, Oberman, Cole, & Carruth, 2007), and effective supervision interventions and styles (e.g., Fernando & Hulse-Killacky, 2005) that assist with supervisor training and development. Until recently, however, few researchers have studied the experiences of counselor education doctoral students as they prepare to become supervisors (Hughes & Kleist, 2005; Limberg et al., 2013; Protivnak & Foss, 2011) or “the transition from supervisee to supervisor” (Rapisarda, Desmond, & Nelson, 2011, p. 121). Specifically, an exploration of factors associated with the self-efficacy beliefs of counselor education doctoral student supervisors is warranted to expand this topic and enhance counselor education training of supervisor development.

Bernard and Goodyear (2009) described supervisor development as a process shaped by changes in self-perceptions and roles, much like counselors-in-training experience in their developmental stages. Researchers have examined factors that may influence supervisors’ development (e.g., experiential learning and the influence of feedback). For example, Nelson, Oliver, and Capps (2006) explored the training experiences of 21 doctoral students in two cohorts of the same counseling program and reported that experiential learning, the use of role-plays, and receiving feedback from both professors and peers were equally as helpful in learning supervision skills as the actual practice of supervising counselors-in-training. Conversely, a supervisor’s development may be negatively influenced by unclear expectations of the supervision process or dual relationships with supervisees, which may lead to role ambiguity (Bernard & Goodyear, 2009). For example, Nilsson and Duan (2007) examined the relationship between role ambiguity and self-efficacy with 69 psychology doctoral student supervisors and found that when participants received clear supervision expectations, they reported higher rates of self-efficacy.

Self-efficacy is one of the self-regulation functions in Bandura’s social cognitive theory (Bandura, 1986) and is a factor in Larson’s (1998) social cognitive model of counselor training (SCMCT). Self-efficacy, the differentiated beliefs held by individuals about their capabilities to perform (Bandura, 2006), plays an important role in counselor and supervisor development (Barnes, 2004; Cashwell & Dooley, 2001) and is influenced by many factors (Schunk, 2004). Along with the counselor’s training environment, self-efficacy beliefs may influence a counselor’s learning process and resulting counseling performance (Larson, 1998). Daniels and Larson (2001) conducted a quantitative study with 45 counseling graduate students and found that performance feedback influenced counselors’ self-efficacy beliefs; self-efficacy increased with positive feedback and decreased with negative feedback. Steward (1998), however, identified missing components in the SCMCT, such as the role and level of self-efficacy of the supervisor, the possible influence of a faculty supervisor, and doctoral students giving and receiving feedback to supervisees and members of their cohort. For example, results of both quantitative studies (e.g., Hollingsworth & Fassinger, 2002) and qualitative studies (e.g., Majcher & Daniluk, 2009; Nelson et al., 2006) indicate the importance of mentoring experiences and relationships with faculty supervisors to the development of doctoral students and self-efficacy in their supervisory skills.

During their supervision training, doctoral students are in a unique position of supervising counselors-in-training while also being supervised by faculty. For the purpose of this study, the term middle tier will be used to describe this position. This term is not often used in the counseling literature, but may be compared to the position of middle managers in the business field—people who are subordinate to upper managers while having the responsibility of managing subordinates (Agnes, 2003). Similar to middle managers, doctoral student supervisors tend to have increased responsibility for supervising future counselors, albeit with limited authority in supervisory decisions, and may have experiences similar to middle managers in other disciplines. For example, performance-related feedback as perceived by middle managers appears to influence their role satisfaction and self-efficacy (Reynolds, 2006). In Reynolds’s (2006) study, 353 participants who represented four levels of management in a company in the United States reported that receiving positive feedback from supervisors had an affirming or encouraging effect on their self-efficacy, and that their self-efficacy was reduced after they received negative supervisory feedback. Translated to the field of counselor supervision, these findings suggest that doctoral students who participate in tiered supervision and receive positive performance feedback may have higher self-efficacy.

Findings to date illuminate factors that influence self-efficacy beliefs, such as performance feedback, clear supervisor expectations and mentoring relations. There is a need, however, to examine what other factors enhance or detract from the self-efficacy beliefs of counselor education doctoral student supervisors to ensure effective supervisor development and training. The purpose of this study, therefore, was to build on previous research and further examine the experiences of doctoral students as they train to become supervisors in a tiered supervision model. The overarching research questions that guided this study included: (a) What are the experiences of counselor education doctoral students who work within a tiered supervision training model as they train to become supervisors? and (b) What experiences influenced their sense of self-efficacy as supervisors?

 

Method

 

Design

A phenomenological research approach was selected to explore how counselor education doctoral students experience and make meaning of their reality (Merriam, 2009), and to provide richer descriptions of the experiences of doctoral student supervisors-in-training, which a quantitative study may not afford. A qualitative design using a constructivist-interpretivist method provided the opportunity to interact with doctoral students via focus groups and follow-up questionnaires to explore their self-constructed realities as counselor supervisors-in-training, and the meaning they placed on their experiences as they supervised master’s-level students while being supervised by faculty supervisors. Focus groups were chosen as part of the design, as they are often used in qualitative research (Kress & Shoffner, 2007; Limberg et al., 2013), and multiple-case sampling increases confidence and robustness in findings (Miles & Huberman, 1994).

 

Participants

Sixteen doctoral students from three CACREP-accredited counselor education programs in the southeastern United States volunteered to participate in this study. These programs were selected due to similarity in supervision training among participants (e.g., all were CACREP-accredited, required students to take at least one supervision course, utilized a full-time cohort design), and were in close proximity to the principal investigator. None of the participants attended the first author’s university or had any relationships with the authors. Criterion sampling was used to select participants that met the criteria of providing supervision to master’s-level counselors-in-training and receiving supervision by faculty supervisors at the time of their participation. The ages of the participants ranged from 27–61 years with a mean age of 36 years (SD = 1.56). Fourteen of the participants were women and two were men; two participants described their race as African-American (12.5%), one participant as Asian-American (6.25%), 12 participants as Caucasian (75%), and one participant as “more than one ethnicity” (6.25%). Seven of the 16 participants reported having 4 months to 12 years of work experience as counselor supervisors (M = 2.5 years, SD = 3.9 years) before beginning their doctoral studies. At the time of this study, all participants had completed a supervision course as part of their doctoral program, were supervising two to six master’s students in the same program (M = 4, SD = 1.2), and received weekly supervision with faculty supervisors in their respective programs.

 

Researcher Positionality

In presenting results of phenomenological research, it is critical to discuss the authors’ characteristics as researchers, as such characteristics influence data collection and analysis. The authors have experience as counselors, counselor educators, and clinical supervisors. Both authors share an interest in understanding how doctoral students move from the role of student to the role of supervisor, especially when providing supervision to master’s students who may experience critical incidents (with their clients or in their own development). The first author became engaged when she saw the different emotional reactions of her cohort when faced with the gatekeeping process, whether the reactions were based on personality, prior supervision experience, or stressors from inside and outside of the counselor education program. She wondered how doctoral students in other programs experienced the aforementioned situations, what kind of structure other programs used to work with critical incidents that involve remediation plans, and if there were ways to improve supervision training. It was critical to account for personal and professional biases throughout the research process to minimize biases in the collection or interpretation of data. Bracketing, therefore, was an important step during analysis (Moustakas, 1994) to reduce researcher biases. The first author accomplished this by meeting with her dissertation committee and with the second author throughout the study, as well as using peer reviewers to assess researcher bias in the design of the study, research questions, and theme development.

 

Quality and Trustworthiness

To strengthen the rigor of this study, the authors addressed credibility, dependability, transferability and confirmability (Merriam, 2009). One way to reinforce credibility is to have prolonged and persistent contact with participants (Hunt, 2011). The first author contacted participants before each focus group to convey the nature, scope and reasons for the study. She facilitated 90-minute focus group discussions and allowed participants to add or change the summary provided at the end of each focus group. Further, information was gathered from each participant through a follow-up questionnaire and afforded the opportunity for participants to contact her through e-mail with additional questions or thoughts.

By keeping an ongoing reflexive journal and analytical memos, the first author addressed dependability by keeping a detailed account throughout the research study, indicating how data were collected and analyzed and how decisions were made (Merriam, 2009). The first author included information on how data were reduced and themes and displays were constructed, and the second author conducted an audit trail on items such as transcripts, analytic memos, reflection notes, and process notes connecting findings to existing literature.

Through the use of rich, thick description of the information provided by participants, the authors made efforts to increase transferability. In addition, they offered a clear account of each stage of the process as well as the demographics of the participants (Hunt, 2011) to promote transferability.

Finally, the first author strengthened confirmability by examining her role as a research instrument. Selected colleagues chosen as peer reviewers (Kline, 2008), along with the first author’s dissertation committee members, had access to the audit trail and discussed and questioned the authors’ decisions, further increasing the integrity of the design. Two doctoral students who had provided supervision and had completed courses in qualitative research, but who had no connection to the research study, volunteered to serve as peer reviewers. They reviewed the focus group protocol for researcher bias, read the focus group transcripts (with pseudonyms inserted) and questionnaires, and the emergent themes, to confirm or contest the interpretation of the data. Further, they reviewed the quotes chosen to support themes for richness of description and provided feedback regarding the textural-structural descriptions as they were being developed. Their recommendations, such as not having emotional reactions to participants’ comments, guided the authors in data collection and analysis.

 

Data Collection

Upon receiving approval from the university’s Institutional Review Board, the first author contacted the directors of three CACREP-accredited counselor education programs and discussed the purpose of the study, participants’ rights, and logistical needs. Program directors disseminated an e-mail about this study to their doctoral students, instructing volunteer participants to contact the first author about participating in the focus groups.

Within a two-week period, she conducted three focus groups—one at each counselor education program site. Each focus group included five to six participants and lasted approximately 90 minutes. She employed a semi-structured interview protocol consisting of 17 questions (see Appendix). The questions were based on an extensive literature review on counselor and supervisor self-efficacy studies (e.g., Bandura, 2006; Cashwell & Dooley, 2001; Corrigan & Schmidt, 1983; Fernando & Hulse-Killacky, 2005; Gore, 2006; Israelashvili & Socher, 2007; Steward, 1998; Tang et al., 2004). The initial questions were open and general at first, so as to not lead or bias the participants in their responses. As the focus groups continued, the first author explored more specific information about participants’ experiences as doctoral student supervisors, focusing questions around their responses (Kline, 2008). Conducting a semi-structured interview with participants ensured that she asked specific questions and addressed predetermined topics related to the focus of the study, while also allowing for freedom to follow up on relevant information provided by participants during the focus groups.

Approximately six to eight weeks after each focus group, participants received a follow-up questionnaire consisting of four questions: (a) What factors (inside and outside of the program) influence your perceptions of your abilities as a supervisor? (b) How do you feel about working in the middle tier of supervision (i.e., working between a faculty supervisor and the counselors-in-training that you supervise)? (c) What, if anything, could help you feel more competent as a supervisor? (d) How can your supervision training be improved? The purpose of the follow-up questions was to explore participants’ responses after they gained more experiences as supervisors and to provide a means for them to respond to questions about their supervisory experiences privately, without concern of peer judgment.

 

Data Analysis

 

Data analysis began during the transcription process, with analysis occurring simultaneously with the collection of the data. The first author transcribed, verbatim, the recording of each focus group and changed participant names to protect their anonymity. Data analysis was then conducted in three stages: first, data were analyzed to identify significant issues within each focus group; second, data were cross-analyzed to identify common themes across all three focus groups; and third, follow-up questionnaires were analyzed to corroborate established themes and to identify additional, or different themes.

During data analysis, a Miles and Huberman (1994) approach was employed by using initial codes from focus-group question themes. Inductive analysis occurred with immersion in the data by reading and rereading focus group transcripts. It was during this immersion process that the first author began to identify core ideas and differentiate meanings and emergent themes for each focus group. She accomplished data reduction by identifying themes in participants’ answers to the interview protocol and focus group discussions until saturation was reached, and displayed narrative data in a figure to organize and compare developed themes. Finally, she used deductive verification of findings with previous research literature. During within-group analysis, she identified themes if more than half (i.e., more than three participants) of a focus group reported similar experiences, feelings or beliefs. Likewise, in across-group analyses, she confirmed themes if statements made by more than half (more than eight) of the participants matched. There were three cases in which the peer reviewers and the first author had differences of opinion on theme development. In those cases, she made changes guided by the suggestions of the peer reviewers. In addition, she sent the final list of themes related to the research questions to the second author and other members of the dissertation committee for purposes of confirmability.

 

Results

 

Results of this phenomenological study revealed several themes associated with doctoral students’ perceptions of self-efficacy as supervisors (see Figure 1). Cross-group analyses are provided with participant quotes that are most relevant to each theme being discussed. Considerable overlap of four themes emerged across groups: ambivalence in the middle tier of supervision, influential people, receiving feedback, and conducting evaluations.

 

 

 

 

 

 

 

 

 

 

Figure 1. Emergent themes of doctoral student supervisors’ self-efficacy beliefs. Factors identified by doctoral student as affecting their self-efficacy as supervisors are represented with directional, bold-case arrows from each theme toward supervisor self-efficacy; below themes are sub-themes in each group connected with non-directional lines.

 

Ambivalence in the Middle Tier of Supervision

All participants noted how working in the middle tier of supervision brought up issues about their roles and perceptions about their capabilities as supervisors. All 16 participants reported feeling ambivalent about working in the middle tier, especially in relation to their role as supervisors and about dealing with critical incidents with supervisees involving the need for remediation. What follows is a presentation of representative quotations from one or two participants in the emergent sub-themes of role uncertainty and critical incidents/remediation.

 

Role Uncertainty. Participants raised the issue of role uncertainty in all three focus groups. For example, one participant described how it felt to be in the middle tier by stating the following:

I think that’s exactly how it feels [to be in the middle] sometimes….not really knowing how much you know, what does my voice really mean? How much of a say do we have if we have big concerns? And is what I recognize really a big concern? So I think kind of knowing that we have this piece of responsibility but then not really knowing how much authority or how much say-so we have in things, or even do I have the knowledge and experience to have much say-so?

Further, another participant expressed uncertainty regarding her middle-tier supervisory role as follows:

[I feel a] lack of power, not having real and true authority over what is happening or if something does happen, being able to make those concrete decisions…Where do I really fit in here? What am I really able to do with this supervisee?…kind of a little middle child, you know really not knowing where your identity really and truly is.  You’re trying to figure out who you really are.

Participants also indicated difficulty discerning their role when supervising counselors-in-training who were from different specialty areas such as college counseling, mental health counseling, and school counseling. All participants stated that they had not had any specific counseling or supervision training in different tracks, which was bothersome for nine participants who supervised students in specialties other than their own. For example, one participant stated the following:

I’m a mental health counselor and worked in the community and I have two school counselor interns, and so it was one of my very first questions was like, what do I do with these people? ’Cause I’m not aware of the differences and what I should be guiding them on anything.

Another participant noted how having more information on the different counseling tracks (e.g., mental health, school, college) would be helpful:

We’re going to be counselor educators. We may find ourselves having to supervise people in various tracks and I could see how it would be helpful for us to all have a little bit more information on a variety of tracks so that we could know what to offer, or how things are a little bit different.

Working in the middle tier of supervision appeared to be vexing for focus group participants. They expressed feelings of uncertainty, especially in dealing with critical incidents or remediation of supervisees. In addition to defining their roles as supervisors in the middle tier, another sub-theme emerged in which participants identified how they wanted to have a better understanding of how remediation plans work and have the opportunity to collaborate with faculty supervisors in addressing critical incidents with supervisees.

 

Critical Incidents/Remediation. Part of the focus group discussion centered on what critical incidents participants had with their supervisees and how comfortable they were, or would be, in implementing remediation plans with their supervisees. All participants expressed concerns about their roles as supervisors when remediation plans were required for master’s students in their respective programs and were uncertain of how the remediation process worked in their programs. Thirteen of the 16 participants expressed a desire to be a part of the remediation process of their supervisees in collaboration with faculty supervisors. They discussed seeing this as an important way to learn from the process, assuming that as future supervisors and counselor educators they will need to be the ones to implement such remediation plans. For example, one participant explained the following:

If we are in the position to provide supervision and we’re doing this to enhance our professional development so in the hopes that one day we’re going to be in the position of counselor educators, let’s say faculty supervisors, my concern with that is how are we going to know what to do unless we are involved [in the remediation process] now? And so I feel like that should be something that we’re provided that opportunity to do it.

Another participant indicated that she felt not being part of the remediation process took away the doctoral student supervisors’ credibility:

I don’t have my license yet, and I’m not sure how that plays into when there is an issue with a supervisee, but I know when there is an issue, there is something we have to do if you have a supervisee who is not performing as well, then that’s kind of taken out of your hands and given to a faculty. So they’re like, ‘Yeah you are capable of providing supervision,’ but when there’s an issue it seems like you’re no longer capable.

Another participant noted wanting “to see us do more of the cases where we need to do remediation” in order to be better prepared in identifying critical incidents, thus feeling more capable in the role as supervisor. Discussion on the middle tier proved to be a topic participants both related to and had concerns about. In addition to talking about critical incidents and the remediation process, another emergent theme included people within the participants’ training programs who were influential to their self-efficacy beliefs as supervisors.

 

Influential People

When asked about influences they had from inside and outside of their training programs, all participants identified people and things (e.g., previous work experience, support of significant others, conferences, spiritual meditation, supervision literature) as factors that affected their perceived abilities as supervisors. The specific factors most often identified by more than half of the participants, however, were the influence of supervisors and supervisees in their training programs.

 

Supervisors. All participants indicated that interactions with current and previous supervisors influenced their self-efficacy as supervisors. Ten participants reported supervisors modeling their supervision style and techniques as influential. For example, in regard to watching supervision tapes of the faculty supervisors, one participant stated that it has “been helpful for me to see the stance that they [faculty supervisors] take and the model that they use” when developing her own supervision skills. Seven participants also indicated having the space to grow as supervisors as a positive influence on their self-efficacy. One participant explained as follows:

I know people at other universities and it’s like boot camp, they [faculty supervisors] break them down and build them up in their own image like they’re gods. And I don’t feel that here. I feel like I’m able to be who I am and they’re supportive and helping me develop who I am.

In addition to the information provided during the focus groups, 11 focus group participants reiterated on their follow-up questionnaires that faculty supervisors had a positive influence on the development of their self-efficacy. For example, for one participant, “a lot of support from faculty supervisors in terms of their accessibility and willingness to answer questions” was a factor in strengthening her perception of her abilities as a counselor supervisor. Participants also noted the importance of working with their supervisees as beneficial and influential to their perceptions of self-efficacy as supervisors.

 

Supervisees. All participants in the focus groups discussed supervising counselors-in-training as having both direct and vicarious influences on their self-efficacy. One participant stated that having the direct experience of supervising counselors-in-training at different levels of training (e.g., pre-practicum, practicum, internship) was something that “really helped me to develop my ability as a supervisor.” In addition, one participant described a supervision session that influenced him as a supervisor: “When there are those ‘aha’ moments that either you both experience or they experience. That usually feels pretty good. So that’s when I feel the most competent, I think as a supervisor.” Further, another participant described a time when she felt competent as a supervisor: “When [the supervisees] reflect that they have taken what we’ve talked about and actually tried to implement it or it’s influenced their work, that’s when I have felt closest to competence.” In addition to working relations with supervisors and supervisees, receiving feedback was noted as an emergent theme and influential to the growth of the doctoral student supervisors.

 

Receiving Feedback

Of all of the emergent themes, performance feedback appeared to have the most overlap across focus groups. The authors asked participants how they felt about receiving feedback on their supervisory skills. Sub-themes emerged when participants identified receiving feedback from their supervisors, supervisees and peers as shaping to their self-efficacy beliefs as supervisors.

 

Supervisors. Fifteen participants discussed the process of receiving performance feedback from faculty as an important factor in their self-efficacy. Overall, participants reported receiving constructive feedback as critical to their learning, albeit with mixed reactions. One participant noted that “at the time it feels kind of crappy, but you learn something from it and you’re a better supervisor.” Some participants indicated how they valued their supervisors’ feedback and they preferred specific feedback over vague feedback. For example, as one participant explained, “I kind of just hang on her every word….it is important. I anticipate and look forward to that and am even somewhat disappointed if she kind of dances around an issue.” Constructive feedback was most preferred across all participants. In addition to the impact of receiving feedback from supervisors, participants commented on being influenced by the feedback they received from their supervisees.

 

Supervisees. Thirteen focus group participants reported that receiving performance evaluations from supervisees affected their sense of self-efficacy as supervisors and appeared to be beneficial to all participants. Participants indicated that they were more influenced by specific rather than general feedback, and they preferred receiving written feedback from their supervisees rather than having supervisees subjectively rate their performance with a number. One participant commented that “it’s more helpful for me when [supervisees] include written feedback versus just doing the number [rating]…something that’s more constructive.” Further, a participant described how receiving constructive feedback from supervisees influenced his self-efficacy as a supervisor:

I’d say it affects me a little bit. I’m thinking of some evaluations that I have received and some of them make me feel like I have that self-efficacy that I can do this. And then the other side, there have been some constructive comments as well, and some of those I think do influence me and help me develop.

Similar to feedback received from supervisors and supervisees, participants reiterated their preference in receiving clear and constructive feedback. Focus group participants also described receiving feedback from their peers as being influential in the development of their supervision skills.

 

Peers. Eleven participants shared that feedback received from peers was influential in shaping the perception of their skills and how they conducted supervision sessions. Participants described viewing videotapes of supervision sessions in group supervision and receiving feedback from peers on their taped supervision sessions as positive influences. For example, one participant stated that “there was one point in one of our classes when I’d shown a tape and I got some very… specific positive feedback [from peers] that made me feel really good, like made me feel more competent.” Another participant noted how much peers had helped her increase her comfort level in evaluating her supervisees: “I had a huge problem with evaluation when we started out….in supervision, my group really worked on that issue with me and I feel like I’m in a much better place.”

Performance feedback from faculty supervisors, supervisees, and peers was a common theme in all three focus groups and instrumental in the development of supervisory style and self-efficacy as supervisors. Constructive and specific feedback appeared to more positively influence participants’ self-efficacy than vague or unclear subjective rating scales. In addition to receiving performance feedback, another theme emerged when participants identified issues with providing supervisees’ performance evaluations.

 

Conducting Evaluations

Participants viewed evaluating supervisees with mixed emotions and believed that this process affected their self-efficacy beliefs as supervisors. Thirteen participants reported having difficulty providing supervisees with evaluative feedback. For example, one participant stated the following:

I had a huge problem with evaluation when we started out. It’s something I don’t like. I feel like I’m judging someone….And after, I guess, my fifth semester….I don’t feel like I’m judging them so much as it is a necessity of what we have to do, and as a gatekeeper we have to do this. And I see it more as a way of helping them grow now.

Conversely, one participant, who had experience as a supervisor before starting the doctoral counselor education program stated, “I didn’t really have too much discomfort with evaluating supervisees because of the fact that I was a previous supervisor before I got into this program.” Other participants, who either had previous experience with supervisory positions or who had been in the program for a longer period of time, confirmed this sentiment—that with more experience the anxiety-provoking feelings subsided.

All focus group participants, however, reported a lack of adequate instruction on how to conduct evaluations of supervisee performance. For example, participants indicated a lack of training on evaluating supervisees’ tapes of counseling sessions and in providing formal summative evaluations. One participant addressed how receiving more specific training in evaluating supervisees would have helped her feel more competent as a supervisor:

I felt like I had different experiences with different supervisors of how supervision was given, but I still felt like I didn’t know how to give the feedback or what all my options were, it would have just helped my confidence… to get that sort of encouragement that I’m on the right track or, so maybe more modeling specifically of how to do an evaluation and how to do a tape review.

All focus group participants raised the issue of using Likert-type questions as part of the evaluation process, specifically the subjectivity of interpretation of the scales in relation to supervisee performance and how supervisors used them differently. For example, a participant stated, “I wish there had been a little bit more concrete training in how to do an evaluation.” A second participant expanded this notion:

I would say about that scale it’s not only subjective but then our students, I think, talk to each other and then we’ve all evaluated them sometimes using the same form and given them a different number ’cause we interpret it differently…. It seems like another thing that sets us up for this weird ‘in the middle’ relationship because we’re not faculty.

Discussions about providing performance evaluations seemed to be one of the most vibrant parts of focus group discussions. Thus, it appears that having the support of influential people (e.g., supervisors and supervisees) and feedback from supervisors, supervisees and peers was helpful. Having more instruction on conducting evaluations and clarifying their role identity and expectations, however, would increase their sense of self as supervisors in the middle tier of supervision.

 

Discussion

 

The purpose of this study was to explore what counselor education doctoral students experienced working in the middle tier of supervision and how their experiences related to their sense of self-efficacy as beginning supervisors. Data analysis revealed alignment with previous research that self-efficacy of an individual or group is influenced by extrinsic and intrinsic factors, direct and vicarious experiences, incentives, performance achievements, and verbal persuasion (Bandura, 1986), and that a person’s self-efficacy may increase from four experiential sources: mastery, modeling, social persuasion, and affective arousal (Larson, 1998). For example, participants identified factors that influence their self-efficacy as supervisors such as the direct experience of supervising counselors-in-training (mastery) as “shaping,” and how they learned vicariously from others in supervision classes. Participants also noted the positive influence of observing faculty supervision sessions (modeling) and receiving constructive feedback by supervisors, supervisees, and peers (verbal persuasion). In addition, participants described competent moments with their supervisees as empowering performance achievements, especially when they observed growth of their supervisees resulting from exchanges in their supervision sessions. Further, participants indicated social persuasion via support from their peers and future careers as counselor supervisors and counselor educators were incentives that influenced their learning experiences. Finally, participants discussed how feelings of anxiety and self-doubt (affective arousal) when giving performance evaluations to supervisees influenced their self-efficacy as supervisors.

Results from this study also support previous research on receiving constructive feedback, structural support, role ambiguity, and clear supervision goals from supervisors as influential factors on self-efficacy beliefs (Bernard & Goodyear, 2009; Nilsson & Duan, 2007; Reynolds, 2006). In addition, participants’ difficulty in conducting evaluations due to feeling judgmental and having a lack of clear instructions on evaluation methods are congruent with supervision literature (e.g., Corey, Haynes, Moulton, & Muratori, 2010; Falender & Shafranske, 2004). Finally, participants’ responses bolster previous research findings that receiving support from mentoring relationships and having trusting relationships with peers positively influence self-efficacy (Hollingsworth & Fassinger, 2002; Wong-Wylie, 2007).

 

Implications for Practice

The comments from participants across the three focus groups underscore the importance of receiving constructive and specific feedback from their faculty supervisors. Providing specific feedback requires that faculty supervisors employ methods of direct observation of the doctoral student’s work with supervisees (e.g., live observation, recorded sessions) rather than relying solely on self-report. Participants also wanted more information on how to effectively and consistently evaluate supervisee performance, especially those involving Likert-type questions, and how to effectively supervise master’s students who are studying in different areas of concentration (e.g., mental health, school counseling, and college counseling). Counselor educators could include modules addressing these topics before or during the time that doctoral supervisors work with master’s students, providing both information and opportunities to practice or role-play specific scenarios.

In response to questions about dealing with critical incidents in supervision, participants across groups discussed the importance of being prepared in handling remediation issues and wanting specific examples of remediation cases as well as clarity regarding their role in remediation processes. Previous research findings indicate teaching about critical incidents prior to engaging in job requirements as effective (Collins & Pieterse, 2007; Halpern, Gurevich, Schwartz, & Brazeau, 2009). As such, faculty supervisors may consider providing opportunities to role-play and share tapes of supervision sessions with master’s students in which faculty (or other doctoral students) effectively address critical incidents. In addition, faculty could share strategies with doctoral student supervisors on the design and implementation of remediation plans, responsibilities of faculty and school administrators, the extent to which doctoral student supervisors may be involved in the remediation process (e.g., no involvement, co-supervise with faculty, or full responsibility), and the ethical and legal factors that may impact the supervisors’ involvement. Participants viewed being included in the development and implementation of remediation plans for master’s supervisees as important for their development even though some participants experienced initial discomfort in evaluating supervisees. This further indicates the importance of fostering supportive working relationships that promote students’ growth and satisfaction in supervision training.

 

Limitations

Findings from this study are beneficial to counselor doctoral students, counselor supervisors, and supervisors in various fields.  Limitations, however, exist in this study. The first is researcher perspective. The authors’ collective experiences influenced the inclusion of questions related to critical incidents and working in the middle tier of supervision. However, the first author made efforts to discern researcher bias by first examining her role as a research instrument before and throughout conducting this study, by triangulating sources, and by processing the interview protocol and analysis with peer reviewers and dissertation committee members. A second limitation is participant bias. Participants’ responses were based on their perceptions of events and recall. Situations participants experienced could have been colored or exaggerated and participants may have chosen safe responses in order to save face in front of their peers or in fear that faculty would be privy to their responses—an occurrence that may happen when using focus groups. The first author addressed this limitation by using follow-up questionnaires to provide participants an opportunity to express their views without their peers’ knowledge, and she reinforced confidentiality at the beginning of each focus group.

 

Recommendations for Future Research

Findings from this study suggest possible directions for future research. The first recommendation is to expand to a more diverse sample. The participants in this study were predominantly White (75%) and female (87.5%) from one region in the United States. As with all qualitative research, the findings from this study are not meant to be generalized to a wider group, and increasing the number of focus groups may offer a greater understanding as to the applicability of the current findings to doctoral student supervisors not represented in the current study. A second recommendation is to conduct a longitudinal study by following one or more cohorts of doctoral student supervisors throughout their supervision training to identify stages of growth and transition as supervisors, focusing on those factors that influence participants’ self-efficacy and supervisor development.

 

Conclusion

 

The purpose of this phenomenological study was to expand previous research on counselor supervision and to provide a view of doctoral student supervisors’ experiences as they train in a tiered supervision model. Findings revealed factors that may be associated with self-efficacy beliefs of doctoral students as they prepare to become counseling supervisors. Recommendations may assist faculty supervisors when considering training protocols and doctoral students as they develop their identities as supervisors.

 

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Appendix

Focus Group Protocol

    1. How is your program designed to provide supervision training?
    2. What factors influence your perceptions of your abilities as supervisors?

Prompt: colleagues, professors, equipment, schedules, age, cultural factors such as gender, ethnicity, social class, whether you have had prior or no prior experience as supervisors.

    1. How does it feel to evaluate the supervisees’ performance?
    2. How, if at all, do your supervisees provide you with feedback about your performance?
    3. How do you feel about evaluations from your supervisees?

Prompt: How, if at all, do you think or feel supervisees’ evaluations influence how you perceive your skills as a supervisor?

    1. How, if at all, do your supervisors provide you with feedback about your performance?
    2. How do you feel about evaluations from your faculty supervisor?

Prompt: In what ways, if any, do evaluations from your faculty supervisor influence how you perceive your skills as a supervisor?

    1. What strengths or supports do you have in your program that guide you as a supervisor?
    2. What barriers or obstacles do you experience as a supervisor?
    3. What influences do you have from outside of the program that affect how you feel in your role as a supervisor?
    4. How does it feel to be in the middle tier of supervision: working between a faculty supervisor and master’s-level supervisee?

Prompt: Empowered, stuck in the middle, neutral, powerless.

    1. What, if any, critical incidents have you encountered in supervision?

Prompt: Supervisee that has a client who was suicidal or it becomes clear to you that a supervisee has not developed basic skills needed to work with current clients.

  1. If a critical incident occurred, or would occur in the future, what procedures did you or would you follow? How comfortable do you feel in having the responsibility of dealing with critical incidents?
  2. If not already mentioned by participants, ask if they have been faced with a situation in which their supervisee was not performing adequately/up to program expectations. If yes, ask them to describe their role in any remediation plan that was developed. If no, ask what concerns come to mind when they think about the possibility of dealing with such a situation.
  3. Describe a time when you felt least competent as a supervisor.
  4. Describe a time when you felt the most competent as a supervisor.
  5. How could supervision training be improved, especially in terms of anything that could help you feel more competent as a supervisor?

Melodie H. Frick, NCC, is an Assistant Professor at Western Carolina University. Harriett L. Glosoff, NCC, is a Professor at Montclair State University. Correspondence can be addressed to Melodie H. Frick, 91 Killian Building Lane, Room 204, Cullowhee, NC, 28723,  mhfrick@email.wcu.edu.