Mar 30, 2018 | Volume 8 - Issue 1
Eric R. Baltrinic, Randall M. Moate, Michelle Gimenez Hinkle, Marty Jencius, Jessica Z. Taylor
Mentoring is an important practice to prepare doctoral students for future graduate teaching, yet little is known about the teaching mentorship styles used by counselor educators. This study identifies the teaching mentorship styles of counselor educators with at least one year of experience as teaching mentors (N = 25). Q methodology was used to obtain subjective understandings of how counselor educators mentor. Our results suggest three styles labeled as Supervisor, Facilitator, and Evaluator. Specifically, these styles reflect counselor educators’ distinct viewpoints on how to mentor doctoral students in teaching within counselor education doctoral programs. Implications and limitations for counselor educators seeking to transfer aspects of the identified mentorship styles to their own practice are presented, and suggestions for future research are discussed.
Keywords: teaching mentorship, counselor education, Q methodology, doctoral students, graduate teaching
Counselor educators mentor doctoral students in many aspects of the counseling profession, including preparation for future faculty roles (Borders et al., 2011; Briggs & Pehrsson, 2008; S.F. Hall & Hulse, 2010; Lazovsky & Shimoni, 2007; Protivnak & Foss, 2009). Counselor education doctoral students (CEDS) credit faculty mentor relationships in general, and teaching mentorships in particular, as strengthening their professional identities (Limberg et al., 2013). For example, co-teaching, a common form of teaching mentorship, includes relationships that allow CEDS to have instructive pedagogical conversations (Casto, Caldwell, & Salazar, 2005) and learn teaching skills (Baltrinic, Jencius, & McGlothlin, 2016).
Support for teaching mentorships is present in the higher education literature. Doctoral students across disciplines reported the helpfulness of regular mentoring (Austin, 2002) and careful guidance in teaching from faculty members (Jepsen, Varhegyi, & Edwards, 2012). Doctoral students attributed mentoring in teaching as important for increasing self-confidence and comfort with teaching as future faculty members (Utecht & Tullous, 2009). In counselor education, the specific benefits attributed to teaching mentorships included greater confidence in CEDS’ ability to find employment as faculty members (Warnke, Bethany, & Hedstrom, 1999) and greater confidence in CEDS’ teaching ability (S. F. Hall & Hulse, 2010). Doctoral students given teaching opportunities without mentoring risk developing poor attitudes and skill sets, instead of having critical experiences to help them become successful university teachers (Silverman, 2003). Overall, the benefits of teaching mentorships are important given that (a) teaching is a primary component of the faculty job (Davis, Levitt, McGlothlin, & Hill, 2006) and (b) new counselor educators need to sufficiently plan and implement quality teaching (Magnuson, Norem, & Lonneman-Doroff, 2009). Counselor education scholars agree on the importance of mentorship for socializing doctoral students for teaching roles (Baltrinic et al., 2016; Orr, Hall, & Hulse-Killacky, 2008), yet little research is available describing specific styles and approaches to teaching mentorship (S. F. Hall & Hulse, 2010). This gap in the literature is concerning given that new counselor educators reported mentoring and feedback on their teaching by senior faculty members was helpful in enhancing their pedagogical skills (Magnuson, Shaw, Tubin, & Norem, 2004).
Type and Style of Teaching Mentorship
In contrast to discrete faculty–student interactions or training episodes (Black, Suarez, & Medina, 2004), mentor relationships may occur over months and years. Kram (1985) has characterized these relationships as career (teaching skills) and psychosocial (mentor–mentee relationship) types. Career mentoring refers to the act of fostering skills development and sharing field-related content to mentees, and psychosocial mentoring pertains more to the interpersonal and relational aspects of entering a field (e.g., emotional support and working through self-doubt; Curtin, Malley, & Stewart, 2016). Both career and psychosocial mentoring types, or some combination, are used by academic faculty mentors (Curtin et al., 2016). But it is uncertain if these, or any other specific mentoring types, are used for teaching mentorships in counselor education. Teaching mentorships of all types allow faculty members to be flexible, emphasize multiple aspects of being a teacher, and allow for the inclusion of multiple mentors (Borders et al., 2011).
Teaching mentorships transpire through a variety of formal (more structured and planned) and informal (less structured and spontaneous) mentorship styles (Borders et al., 2012). For example, a CEDS may experience teaching mentorship as part of a structured pedagogy course (formal), or have an informal conversation with their faculty advisor about teaching experiences spontaneously during an advising session. Given the complexities and importance of mentor relationships in counselor training, little is known about either formal or informal styles. Thus, it is hardly surprising uncertainty exists regarding counselor educators’ preferred ways of mentoring in general (Borders et al., 2012) and mentoring in teaching in particular (S. F. Hall & Hulse, 2010).
We found no evidence in the counselor education literature describing common styles of teaching mentorship used by counselor educators. This is concerning given that faculty members tend to mentor in the manner that they were mentored (L. A. Hall & Burns, 2009), and that CEDS’ mentorship experiences are influential in shaping their careers as future counselor educators (Borders et al., 2011). Our purpose was to learn more about how counselor educators understand and use their own teaching mentorship styles, thus requiring that we measure aspects of sample members’ subjective understanding of this phenomenon. Therefore, we set out to answer the following research question: What are counselor educators’ preferred styles of engaging in teaching mentorships with CEDS?
Method
Because Q methodology objectively analyzes subjective phenomena, such as people’s preferences and opinions on a topic (Stephenson, 1935), it was selected for this study to reveal the structure of counselor educators’ perspectives (i.e., factors) on the teaching mentorship styles used for preparing CEDS to teach. Q methodology embodies the relative strengths of quantitative and qualitative methodologies by drawing on the depth and richness of qualitative data and the objective rigor of factor analysis to analyze data (Shemmings, 2006).
Participants
The participants (N = 25) eligible for this study: (a) were currently employed as a full-time faculty member in a counselor education doctoral program and (b) had accrued at least one year of experience mentoring CEDS in graduate teaching as a counselor educator. Twenty-five is a sufficient number given that Q methodology simply seeks to establish, understand, and compare individuals’ self-referent views expressed through the Q sort process (Brown, 1980). Participants were both conveniently sampled (n = 10) from counselor educators attending a workshop on Q methodology and purposefully sampled (n = 15) through recruitment emails sent to faculty members at several prominent counselor education doctoral programs in the Eastern (n = 7), Midwestern (n = 10), and Southern (n = 8) regions of the United States. Data were collected from participants by mailing packets that contained an informed consent, basic demographic questionnaire, Q sort, post–Q sort questionnaire, and a postage-prepaid return envelope. (Additional participant demographics are shown in Table 1). Note, we abstained from collecting certain demographic data (e.g., race, ethnicity, university type) from participants in response to their stated concerns about anonymity during data collection. Also, participants in this study were those that completed Q sorts (N = 25) versus those (N = 54) counselor educators used to generate the concourse described below.
Table 1
Demographics of Participants (N = 25)
Age n (%) Rank n (%)
25–30 1 (4%) Full Professor 5 (20%)
31–40 7 (28%) Associate Professor 8 (32%)
41–50 5 (20%) Assistant Professor 12 (48%)
51–60 9 (36%)
61–65+ 3 (12%)
Gender n (%) Tenure Status n (%)
Female 13 (52%) Tenured 13 (52%)
Male 12 (48%) Untenured 12 (48%)
Years of Teaching
Mentorship Experience n (%)
1–5 9 (36%)
6–10 3 (12%)
11–15 6 (24%)
16–20 4 (16%)
Concourse Generation and Selecting Items for the Q Sample
Q methodology studies begin with creating a concourse, or a collection of thoughts or sentiments about a topic (Stephenson, 1978), which serves as the source material for selecting items for the Q sample. To generate the concourse for this study, 54 counselor educators, each with a minimum of one year of experience mentoring doctoral students in graduate teaching, were solicited on a counseling listserv (see Table 2). Counselor educators each provided 5–10 opinion statements on teacher mentorship approaches for working with CEDS in response to one open-ended question: What are your preferred approaches to mentoring CEDS in teaching? This process resulted in 432 opinion statements. However, this was too many statements for participants to rank order during the Q sort process. Accordingly, a 2 x 2 factorial design based on Kram’s (1985) career and psychosocial mentorship types and Borders et al.’s (2012) formal and informal mentoring styles was used as a theoretical guide to obtain a reduced yet representative subset (sample) of statements from the concourse (for additional information on Q sample construction, see Paige & Morin, 2016).
Table 2
Demographics of Counselor Educators Providing Opinion Statements for Concourse (N = 54)
Age n (%) Racial Identity n (%)
25–30 0 (0%) African American 4 (7%)
31–35 8 (15%) Native American/Indigenous 1 (2%)
36–40 13 (24%) Caucasian 38 (70%)
41–45 7 (13%) Hispanic/Latino(a)/Chicano(a) 5 (9%)
46–50 4 (7%) Multiracial 3 (6%)
51–55 7 (13%) Biracial 3 (6%)
56–60 7 (13%)
61–65 4 (7%)
66–70 3 (6%)
71–75+ 1 (2%)
Gender n (%) Primary Professional Identity n (%)
Female 33 (61%) Counselor Educator 51 (94%)
Male 19 (35%) School Counselor Educator 3 (6%)
Transgender 1 (2%)
Gender Fluid 1 (2%)
Sexual Identity n (%) Academic Rank n (%)
Lesbian 3 (6%) Professor 9 (17%)
Gay 4 (7%) Associate Professor 18 (33%)
Bisexual 4 (7%) Assistant Professor 27 (50%)
Heterosexual 43 (80%)
First, the lead author organized the 432 statements into two broad categories: informal and formal mentoring styles (Borders et al., 2012). Duplicate, fragmented, and unclear statements were identified and eliminated in this step. Then, the remaining 96 statements (i.e., 48 statements in the informal and formal categories, respectively) were each cross-referenced with two mentoring types (i.e., psychosocial and career; Kram, 1985). Similar to the first step, the lead author reviewed the content of each statement and eliminated any statements containing duplicate, fragmented, or unclear language, resulting in 52 statements across four domains: 13 statements representing informal and career, 13 statements representing informal and psychosocial, 13 statements representing formal and career, and 13 statements representing formal and psychosocial. Finally, the first author eliminated four and reworded two of the 52 statements after they were reviewed by the second, third, and fourth authors, resulting in a final sample of 48 statements (12 statements per domain). This final group of statements is called the Q sample, which in this case is a collection of statements that represent counselor educators’ perspectives on how to mentor CEDS in teaching. The 48-item Q sample constructed by the first author was reviewed by the second, third, and fourth authors to ensure that each item was unique and did not overlap with other statements, and was applicable to the study. The final Q sample was given to participants for rank ordering during the Q sort process.
Q Sort Process
After Institutional Review Board approval was obtained, 25 participants completed the Q sort process. During the Q sort process, participants were prompted to reflect on their personal experiences of mentoring teaching to CEDS and then asked to rank order the 48 items in the Q sample on a forced-choice frequency distribution, shown in Table 3. Participants indicated a conscribed number of items with which they most agreed (+4) to items with which they least agreed (-4) along the distribution. Items placed in the middle of the rank order indicated statements about which participants were neutral or ambivalent. After finishing the rank ordering of items, participants were asked to provide brief post–Q sort written responses for the top two or three statements with which they most and least agreed, which were incorporated into the factor interpretations found in the results section below.
Table 3
Q Sort Forced-Choice Frequency Distribution
Ranking Value – 4 -3 -2 -1 0 +1 +2 +3 +4
Number of Items 3 4 6 7 8 7 6 4 3
Data Analysis
Twenty-five completed Q sorts were entered into the PQMethod software program V. 2.35 (Schmolck & Atkinson, 2012). The PQMethod software creates a by-person correlation matrix (i.e., the “intercorrelation of each Q sort with every other Q sort”) used to facilitate factor analysis and subsequent factor rotation (Watts & Stenner, 2012, p. 97). The purpose of factor analysis in Q methodology is to group small numbers of participants with similar views into factors in the form of Q sorts (Brown, 1980). Factor analysis helps researchers rigorously reveal subjective patterns that could be overlooked via qualitative analysis. A 3-factor solution was selected to provide the highest number of significant factor loadings associated with each factor (Watts & Stenner, 2012). Factors were then rotated using varimax criteria with hand rotation adjustments in order to best reveal groupings of individuals with similar Q sorts. The factor rotations increased the total number of significant factor loadings from 17 to 20 of 25 participants, shown in Table 4.
We approached analyzing and interpreting each factor in the context of all other factors to provide a holistic factor interpretation, versus favoring specific items (i.e., factor scores, +4 or -4) over others within a particular factor (Watts & Stenner, 2012). To do so, a worksheet was created from the factor array (see Table 5) for each individual factor containing the highest and lowest ranked items within the factor and those items ranked lower within the factor compared to other factors. Second, items in the worksheets were compared to participants’ demographic and qualitative responses associated with that factor in order to add depth and detail before the final step. Finally, the finished worksheets were used for constructing the factor interpretation narratives, which are written as a story containing the viewpoint of the factor as a whole.
Table 4
Rotated Factor Loadings for Supervisor (1), Facilitator (2), and Evaluator (3)
Q Sort Factor 1 Factor 2 Factor 3
Supervisor Facilitator Evaluator
1 .05 .74 .07
2 .47 .46 .30
3 .13 .60 .24
4 .02 -.13 .76
5 .51 .26 -.23
6 .60 .25 -.16
7 .18 .48 .03
8 .55 .37 .24
9 .54 .17 .13
10 .70 .16 .14
11 .53 .17 .34
12 .54 -.11 .25
13 .22 .48 .16
14 .52 .40 -.04
15 .34 .15 .53
16 .41 .13 .19
17 .10 .39 .33
18 .19 .32 .47
19 .26 .73 .05
20 .27 .04 .12
21 .36 .26 .11
22 .13 .40 .54
23 .10 .55 .03
24 .20 .39 .50
25 .32 .46 .08
Note. Significant loading > .43 are in boldface
Results
The data analysis revealed the existence of three different viewpoints (i.e., factors 1, 2, 3) on mentoring CEDS in graduate teaching. We named the factors Supervisor (F1), Facilitator (F2), and Evaluator (F3), respectively, and included those names in the factor interpretations below to best represent the distinguishing teaching mentorship characteristics of the groups of individuals associated with each factor. The resulting three factors accounted for 37% of the total variance in the correlation matrix. Note that sole reliance on statistical criteria, such as the proportion of variance, is discouraged in Q methodology. This is because a factor may hold theoretical interest and have contextual relevance that may be overlooked if only a statistical basis for interpreting subjective factors is used (Brown, 1980). Twenty of the 25 participants loaded significantly on one of the three factors. Factor loadings of > .43 were significant at the p < 0.01 level. Factor 1 had eight participants with significant loadings, accounting for 14% of the variance. Factor 2 had seven participants with significant loadings, accounting for 15% of the variance, whereas Factor 3 had five participants with significant loadings, accounting for 9% of the variance. Five of the 25 Q sorts were non-significant; four participants’ Q sorts were non-significant (X < .43) and one was confounded, meaning the factor scores for that participant were associated with more than one factor.
Table 5
48-Item Q Sample Factor Array With Factor Scores
Item |
STATEMENT |
FACTOR SCORES
1 2 3 |
1 |
Viewing doctoral students’ life experiences as complementary to those of the faculty teaching mentor. |
-3 |
0 |
-1 |
2 |
Exposing doctoral students to progressively more challenging teaching roles with faculty supervision. |
0 |
0 |
3 |
3 |
Guiding doctoral students to complete a teaching practicum and/or internship as part of their doctoral training. |
2 |
1 |
1 |
4 |
Sharing teaching resources with doctoral students (e.g., group activities, discussion prompts, assignments, etc.). |
-1 |
1 |
0 |
5 |
Maintaining a reputation among doctoral students as a quality teacher by modeling and demonstrating quality teaching. |
0 |
2 |
-1 |
6 |
Giving doctoral students examples from your own teaching on how to overcome teaching challenges. |
4 |
-3 |
-2 |
7 |
Having doctoral students rehearse teaching strategies (e.g., lectures, activities) prior to implementing them in the classroom. |
-2 |
-3 |
-3 |
8 |
Defining for doctoral students their teaching roles in and out of the classroom. |
-1 |
-2 |
0 |
9 |
Modeling best practices in teaching to facilitate the development of doctoral students’ teaching styles. |
-1 |
1 |
-2 |
10 |
Having doctoral students facilitate portions of a course under supervision as part of co-teaching, a course assignment, and so forth. |
3 |
3 |
1 |
11 |
Having doctoral students develop and discuss a teaching philosophy. |
0 |
-2 |
2 |
12 |
Teaching doctoral students to develop rubrics and grade student assignments. |
-2 |
-1 |
0 |
13 |
Providing doctoral students with a safe space to acknowledge their teaching mistakes. |
4 |
4 |
1 |
14 |
Assisting doctoral students with incorporating technology and course management systems (e.g., Blackboard) into the teaching process. |
-2 |
-2 |
-4 |
15 |
Holding doctoral students to high level of accountability regarding their teaching and learning practices. |
0 |
0 |
4 |
16 |
Having doctoral students teach a portion of a class under faculty supervision. |
2 |
3 |
1 |
17 |
Immersing doctoral students in teaching environments in a sink-or-swim manner with no advice, preparation, or supervision. |
-4 |
-4 |
-1 |
18 |
Having doctoral students co-teach an entire course with faculty members and/or experienced peers. |
4 |
0 |
2 |
19 |
Providing strengths-based feedback and support regarding teaching. |
0 |
4 |
0 |
20 |
Interacting with doctoral students as colleagues or equals. |
-3 |
3 |
-4 |
21 |
Teaching doctoral students to evaluate their teaching effectiveness and student learning. |
1 |
1 |
4 |
22 |
Providing doctoral students with specific examples of how to address student issues. |
3 |
-1 |
0 |
23 |
Acting as a “sounding board” when doctoral students need to discuss their feelings about teaching. |
0 |
3 |
-3 |
24 |
Promoting the creation of critical learning environments where doctoral students are asked to apply higher order cognitive skills (e.g., Bloom’s Taxonomy). |
-3 |
-2 |
4 |
25 |
Assisting doctoral students with identifying challenging student behaviors. |
1 |
1 |
2 |
26 |
Encouraging doctoral students with teaching experience to engage in mentoring of their peers’ teaching. |
-4 |
-1 |
-3 |
27 |
Assisting doctoral students with preparing lectures, activities, and discussion topics. |
-2 |
-1 |
-2 |
28 |
Focusing on a broad range of learning and instructional theories when grounding one’s teaching approach. |
-2 |
-3 |
2 |
29 |
Having doctoral students participate in a formal course on pedagogy. |
-1 |
-4 |
2 |
30 |
Encouraging doctoral students to implement refined teaching approaches after receiving feedback from teaching mentors. |
3 |
-1 |
1 |
31 |
Disclosing to doctoral students the ways that faculty members developed their teaching practice, including successes and mistakes. |
2 |
1 |
-2 |
32 |
Supporting doctoral students’ solo teaching opportunities (e.g., to lead a class). |
1 |
2 |
0 |
33 |
Providing both candid and immediate feedback to doctoral students about their teaching
performance. |
2 |
0 |
0 |
34 |
Having doctoral students identify the verbal and nonverbal behaviors that contribute to
building teacher–student rapport. |
-1 |
-1 |
-1 |
35 |
Nurturing professionalism in teaching during faculty–doctoral student interactions. |
-3 |
4 |
3 |
36 |
Talking to doctoral students about how their life experiences influence their approach to
teaching. |
-4 |
0 |
-1 |
37 |
Providing doctoral students with readings on pedagogy. |
1 |
-4 |
2 |
38 |
Having doctoral students participate in designing a course. |
2 |
0 |
-2 |
39 |
Having doctoral students observe faculty and experienced peers’ teaching. |
-1 |
-2 |
-1 |
40 |
Inviting doctoral students to discuss their clinical/school counseling experiences while in a teaching role in the classroom. |
1 |
2 |
-3 |
41 |
Assisting doctoral students with developing a syllabus. |
2 |
-1 |
-4 |
42 |
Planning before class with doctoral students before they engage in teaching activities. |
1 |
-3 |
-2 |
43 |
Discussing boundaries and other ethical concerns regarding teaching. |
0 |
0 |
3 |
44 |
Facilitating opportunities to improve doctoral students’ confidence and comfort about teaching. |
-1 |
2 |
-1 |
45 |
Helping doctoral students with understanding the variables and actions linked to an improved learning environment. |
-2 |
0 |
1 |
46 |
Assisting doctoral students with linking specific learning theories to course content/topic areas. |
0 |
-3 |
1 |
47 |
Teaching doctoral students to remain empathic to students’ worldviews by using worldview-affirming language. |
3 |
2 |
3 |
48 |
Discussing with doctoral students why instructional decisions were made in the classroom. |
1 |
2 |
0 |
The three factors contain factor exemplars merged to form a single ideal Q sort for each factor, called a factor array (Watts & Stenner, 2012). The factor array, which contains the 48 Q sample items and the associated factor scores for Factors 1 through 3, is found in Table 5. The factor array contains factor scores calculated by weighted averages in which higher-loading Q sorts are given more weight in the averaging process because they better exemplify the factor. It is the factor scores contained in the factor array versus participants’ factor loadings that are used for factor interpretation. Note that parenthetical references to Q sample items and commensurate factor scores (e.g., item 24, +4) provide contextual reference for each of the factor interpretations below.
Factor 1: Supervisor
Eight (32%) of the 25 participants were associated with factor 1. Factor 1 mentors (i.e., Supervisors) view mentoring in teaching as a process that begins with CEDS co-teaching an entire course under the supervision of a faculty member or experienced peer (item 18, +4). Providing CEDS with real-world teaching examples from faculty members’ teaching experiences (item 6, +4) and a safe space to acknowledge teaching mistakes (item 13, +4) are defined as key mentoring processes for Factor 1. In so doing, Supervisors provide candid and immediate feedback about CEDS’ teaching performance (item 33, +2) and incorporate examples from their mentors’ own teaching successes and mistakes as part of the feedback (item 31, +2). These points are illustrated by one participant in her post–Q sort responses: “As a doctoral student, I appreciated receiving honest real-talk feedback (about teaching), which rarely happened. Now, when I mentor students, I tell folks what I really think in a kind but frank manner.” Supervisors encourage CEDS to implement refined teaching approaches after receiving candid feedback about their teaching. Additionally, Supervisors regularly plan before class with CEDS before they engage in teaching activities (item 42, +1). CEDS engage in syllabus development (item 41, +2) and course design (item 38, +2), versus sharing teaching resources (item 4, -1) and linking teaching variables to improved learning environments (item 45, -2), both of which are, as one participant remarked, “assumed to be part of the mentoring process.” Supervisors prefer that CEDS complete formal practica or internships as part of their doctoral training (item 3, +2).
Supervisors employ both formal (e.g., co-teaching, practica and internships, and regular pre-class planning) and informal (e.g., real-world examples, candid feedback, and appropriate professional disclosure about teaching) mentoring practices intended for students’ incremental professional development as teachers (Baltrinic et al., 2016). Supervisors’ teaching mentorship style is guided by the belief that experienced faculty members versus less-experienced peers are critical for influencing the development of doctoral students’ teaching skills (item 26, -4), more so than Factors 2 and 3. And, although Supervisors agree that no doctoral student should learn to teach in a sink-or-swim manner (item 17, -4), the Supervisor takes a less nurturing, or life experience–based approach to mentoring (items 1, -3; 35, -3; and 36, -4 respectively) than Factors 2 and 3. A less nurturing approach may be difficult to understand given the nature of mentoring itself. Keep in mind that what is central to Supervisors’ views on mentoring is the instructive and real-world supervision of students’ structured teaching activities over time, which does not preclude faculty members valuing students’ life experience or nurturing their development; rather, these are not central drivers for preferred mentoring interactions between faculty members and students.
Factor 2: Facilitator
Seven (28%) of the 25 participants agreed with Factor 2, which we have titled Facilitator. Facilitators are distinguished as mentors who nurture professionalism during faculty–student interactions (item 35, +4) and provide feedback and support using a strengths-based approach regarding CEDS’ teaching (item 19, +4). Similar to Supervisors (Factor 1), Facilitators provide CEDS with a safe space in the mentoring relationship to acknowledge teaching mistakes (item 13, +4). However, Facilitators favor providing supportive versus corrective or formal feedback (item 30, -1) as central to the mentoring relationship—described aptly by one participant as “I am not big on structured pedagogical teaching. In other words, modeling and supportive discussion can serve the mentor well.” It stands to reason that Facilitators prefer to maintain a reputation as a quality teacher by modeling and demonstrating best practices in teaching (item 5, +2), and thereby extend this practice to facilitate the development of CEDS’ teaching styles (item 9, +1). Accordingly, Facilitators do not approach mentoring in teaching by providing CEDS with formal readings on pedagogy, or have them participate in a formal course on pedagogy (items 29, -4 and 37, -4 respectively). Instead, Facilitators prefer to discuss with CEDS why they made teaching decisions in the classroom without being prescriptive (item 48, +2).
Facilitators approach mentoring by treating CEDS as colleagues or equals during the teaching experience (item 20, +3) and by creating opportunities for them to improve their comfort and confidence when teaching (item 44, +2). When providing feedback, Facilitators act as sounding boards for CEDS to express their feelings about teaching (item 23, +3). For example, noted in one participant’s post–Q sort response, “We learn the most through our own discomfort, so a mentor serving as a sounding board is very important.” Facilitators are more interested than Supervisors or Evaluators (Factor 3) in how CEDS’ life experiences influence their approach to teaching (item 36, 0). In the classroom, Facilitators invite CEDS to discuss their clinical or school counseling experiences when teaching (item 40, +2). In contrast with the Supervisor and the Evaluator, the Facilitator will share examples of their own teaching resources with CEDS (item 4, +1). In general, Facilitators prefer to have CEDS formally teach a portion of a class under their supervision (item 16, +3), versus having them co-teach an entire class or be thrown into teaching in a sink-or-swim manner (item 17, -4).
Facilitators avoid helping CEDS overcome teaching challenges through examples from their own teaching (item 6, -3) or by providing specific examples to address issues. Overall, Facilitators prefer not to define teaching roles for CEDS (item 8, -2), pre-plan specific activities before class (item 42, -3), provide particular learning theories to address specific course content (item 46, -3), or impose on the learning environment (item 28, -3). Finally, Facilitators do not prefer to provide CEDS with feedback that they should use to refine and subsequently implement during future teaching endeavors (item 30, -1), which is not surprising given the relational and discovery-oriented focus of this factor’s approach to mentoring in teaching.
Factor 3: The Evaluator
Factor 3, the Evaluator, included five (20%) of the 25 participants. Evaluators create a critical learning environment for CEDS to use higher order cognitive skills (item 24, +4) while helping them to evaluate their teaching effectiveness and student learning (item 21, +4). Additionally, Evaluators create a safe space for CEDS to acknowledge their mistakes (item 13, +1) and offer corrective feedback as a way for them to refine their teaching (item 30, +1). Unlike Facilitators in Factor 2, Evaluators do not interact with CEDS as colleagues or equals (item 20, -4), initiate conversations about students’ feelings (item 23, -3), or promote students’ confidence and comfort (item 44, -1) about teaching as a central part of mentorship. Instead, Evaluators come from a directive teaching perspective and place an emphasis on content-driven mentorship. Fittingly, Evaluators have high expectations of CEDS to learn and study critical components of teaching and guide students accordingly. Evaluators provide CEDS with readings on pedagogy (item 37, +2) and expose students to a range of learning and instructional theories (item 28, +2). Evaluators also place high value on CEDS taking a formal class on pedagogy (item 29, +2), distinguishing themselves from Supervisors and Facilitators, who rated teaching-related course work as less important.
Although Evaluators make students aware of ethical concerns while teaching (item 42, -2) and identify specific techniques linked to improved learning (item 45, +1), other pragmatic aspects of teaching are given less attention. For example, Evaluators place minimal importance on rubric development and grading practices (item 12, 0) and course design (item 38, -2), and even less importance on developing a syllabus (item 41, -4) and incorporating technology or course management systems into the teaching process (item 14, -4). This is a stark difference from Supervisors in Factor 1, who placed higher value on some of these responsibilities. And Supervisors emphasize skill development, whereas Evaluators stress creating a strong theoretical foundation to guide CEDS’ teaching tasks.
Classroom experiences, though secondary to learning theory and techniques, also are important aspects to mentorship for participants grouped in Factor 3. Evaluators supervise CEDS as they teach portions of courses (item 10, +1) or take on solo teaching opportunities (item 32, 0). In these circumstances, Evaluators hold CEDS to high levels of accountability in terms of their teaching and learning practices (item 15, +4), as opposed to their counterparts in Factors 1 and 2, who rate the importance of accountability more neutrally. One participant illustrates the importance of accountability: “I want doctoral students to know the how, what, and why of where they are going in the classroom, otherwise their students may end up somewhere else. Educators need to be responsible for accounting for students’ outcomes.” Offering feedback to improve teaching is a key aspect of the mentoring process for Evaluators as mentors and students evaluate these hands-on teaching experiences (item 30, +1). These experiences may be critical for Evaluators to assess CEDS’ learning and abilities, gradually exposing them to more challenging teaching roles (item 2, +3).
Throughout the mentorship process, Evaluators place CEDS’ learning and teaching practice at the center of interactions. Whereas Supervisors and Facilitators share their teaching experiences with CEDS, Evaluators avoid conversation about successes or mistakes in their teacher development (item 21, +4). Furthermore, Evaluators do not believe their reputations as quality teachers (item 5, -1) nor their modeling of best practices in teaching is relevant to CEDS’ development of teaching styles (item 9, -2). Instead, Evaluators keep themselves in a distant position during the course of mentorship. Key teaching mentorship interactions are characterized as student-centered and include discussion of their unique teaching philosophies (item 11, +2), exploration of the intentionality behind the instructional decisions they make in classrooms (item 48, 0), and evaluation of their teaching effectiveness (item 21, +4). Consequently, the mentorship style of Evaluators is directive but student-focused, with emphasis on mentees learning and reflecting upon various pedagogical theories and practices as they develop into teachers.
Discussion
Three different perspectives (i.e., Supervisor, Facilitator, and Evaluator) exist among counselor educators of preferred ways to mentor CEDS in teaching. The three perspectives could be conceptualized as different styles of mentorship that are used by counselor educators. Although each perspective is unique, we noticed areas of agreement among counselor educators on using certain formal (e.g., co-teaching), informal (e.g. affirming worldviews), and combinations of mentoring approaches (Borders et al., 2011). These areas of agreement are similar to mentorship experiences in research with CEDS (Borders et al., 2012). The findings of this study also reinforce that mentoring is a complex process in which mentors fill a variety of roles and initiate multiple activities (Casto et al., 2005). Overall, results lend support for teaching mentorship also supported by the literature. For example, Silverman’s (2003) suggestions that learning about pedagogy, having teaching experiences, and working closely with an experienced mentor who facilitates pedagogical conversations are helpful for preparing future faculty members. Though the pairing procedures between participants and students were unknown (e.g., intentionally paired, general guidance; Borders et al., 2011), each factor in this study contained some combination of formal (e.g., planned readings or activities) and informal (e.g., in-the-moment conversations, minimal planning) approaches to mentoring, which is consistent with other findings on preparing CEDS to teach (Baltrinic et al., 2016).
Both career and psychosocial mentoring types are embodied within the three factors reported in the current study, the findings of which support and extend the work of Kram (1985) by providing examples specific to teaching mentorship styles. The Evaluator and the Supervisor perspectives contain career components, as they are knowledge and skill driven, respectively. The Facilitator perspective is reflective of Kram’s psychosocial type, as it is the most relational, exploratory, and insight-oriented perspective of the three. Though career and psychosocial properties overlap between factors (e.g., skill building, feedback, support), each mentoring perspective has one that is a central characteristic.
The combination of career and psychosocial (Kram, 1985) mentoring types evident in the results also are highlighted in other counselor education mentorship guidelines. Similar to the Association for Counselor Education and Supervision research mentorship model (Borders et al., 2012), participants noted the importance of mentors demonstrating and transferring teaching-oriented knowledge and skills to mentees, as well as providing constructive feedback. Other mentor characteristics and tactics, such as facilitating student self-assessment and accountability, modeling, and creating a supportive and open relationship (Black et al., 2004; Briggs & Pehrsson, 2008), are reflected in the current findings on teacher mentoring approaches. For some participants, maintaining a nurturing and supportive environment was of utmost importance, which also has been noted as essential for mentoring CEDS (Casto et al., 2005).
Borders et al. (2011) specifically noted the importance of mentoring graduate students who aspire to be faculty and, though minimally, addressed pedagogy support by offering teaching opportunities to students and engaging them in conversation about their experiences. The current research findings expand on Borders and colleagues’ position by providing ideas on what these conversations might entail. All three factors identified teacher-related topics of conversation and relevant activities, including teaching philosophies, skills, and tasks; pedagogical and learning theories; monitoring student interactions; classroom ethics and boundaries; and self-efficacy associated with teacher development. This offers some unique ideas on topics of interest that may be incorporated into conversations when mentoring students in teaching.
A practical component to teaching mentorships is represented within the factors. Rather than culminating in a product, such as co-written publications developed in research mentoring (Briggs & Pehrsson, 2008), each of the three teaching mentorship factors guide CEDS through applied teaching experiences. These hands-on teaching opportunities provided experiences for CEDS to work through and reflect upon, and offered material for mentors to provide feedback. The extent of student involvement in teaching varied, as did the direction of conversations (e.g., corrective, exploratory); nevertheless, some mentoring tasks were built from observable and enacted teaching moments.
Implications for Counselor Education Programs and Counselor Educators
We believe that it may be helpful for faculty members in positions of leadership (i.e., department chairs, doctoral program coordinators) in counselor education doctoral programs to infuse awareness of teaching mentorship practices among other faculty members. Senior counselor education faculty members responsible for coordinating doctoral programs may be able to create more impactful mentorship experiences for CEDS by encouraging other faculty members to become more aware of their mentorship practices. Several researchers have suggested that quality mentorship is associated with counselor education faculty members who demonstrate intentionality in their mentorship practices (Black et al., 2004; Casto et al., 2005). Findings from this study can generate discussion and self-assessment among faculty members, leading to a clearer understanding of different mentoring styles that exist within a department or program. As different mentoring styles are identified among faculty members, it may help to consider ways to match CEDS with faculty members who will be a good fit for their preferred learning style.
Similarly, we also believe that counselor educators mentoring CEDS in teaching can benefit from being reflective about their own style of mentorship. It may be helpful to consider one’s personal style of mentorship in relation to the styles of teaching mentorship (i.e., Supervisor, Facilitator, and Evaluator) highlighted in this study. Counselor educators who identify with a particular teaching mentorship style may discuss this with CEDS early in the mentorship process to facilitate a goodness of fit. In situations in which CEDS do not have the opportunity to select a mentor of their choosing, it may be particularly important for counselor educators to consider how their style of mentorship will fit with their mentee. It may help counselor educators identifying with a singular style of mentorship to integrate strengths from other styles of mentorship into their practice. For example, a counselor educator who closely identifies with the Supervisor style may benefit from increasing the amount of strength-based feedback they provide mentees (i.e., associated with the Facilitator), or by being more methodical about gradually increasingly their mentees exposure to challenging teaching experiences (i.e., associated with the Evaluator).
Limitations and Recommendations for Future Research
Q studies are not generalizable in the same way as other quantitative studies. The data in this study represent subjective perspectives; thus, results are viewed similar to qualitative studies (Watts & Stenner, 2012). However, Q results offer an additional rigor derived from the factor analysis of the participants’ respective Q sorts. Results from this study pertain to mentoring CEDS in aspects of pedagogy and not clinical teaching or clinical experiences. Future Q methodology studies can use purposeful samples of diverse particpants with a range of pedagogy and clinical teaching experiences, and use participants from a wider range of regions within the United States. Examining students’ and faculty members’ critical incidents during teaching mentorships may increase understanding of respective mentor and mentee perspectives. Future studies distinguishing teacher mentorship from research mentorship would be useful. Finally, investigating the specific practices of the three factor types through single-case studies could provide in-depth perspectives on faculty members’ teaching mentorship styles.
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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Eric R. Baltrinic is an assistant professor at Winona State University. Randall M. Moate is an assistant professor at the University of Texas at Tyler. Michelle Gimenez Hinkle is an assistant professor at William Paterson University. Marty Jencius is an associate professor at Kent State University. Jessica Z. Taylor is an assistant professor at Central Methodist University. Correspondence can be addressed to Eric Baltrinic, Gildemeister 116A, P.O. Box 5838, 175 West Mark Street, Winona, MN 55987-5838, ebaltrinic@gmail.com.
Feb 5, 2017 | Volume 7 - Issue 1
A. Elizabeth Crunk, Sejal M. Barden
Numerous models of clinical supervision have been developed; however, there is little empirical support indicating that any one model is superior. Therefore, common factors approaches to supervision integrate essential components that are shared among counseling and supervision models. The purpose of this paper is to present an innovative model of clinical supervision, the Common Factors Discrimination Model (CFDM), which integrates the common factors of counseling and supervision approaches with the specific factors of Bernard’s discrimination model for a structured approach to common factors supervision. Strategies and recommendations for implementing the CFDM in clinical supervision are discussed.
Keywords: supervision, common factors, specific factors, discrimination model, counselor education
Clinical supervision is a cornerstone of counselor training (Barnett, Erickson Cornish, Goodyear, & Lichtenberg, 2007) and serves the cardinal functions of providing support and instruction to supervisees while ensuring the welfare of clients and the counseling profession (Bernard & Goodyear, 2014). Numerous models of clinical supervision have been developed, varying in emphasis from models based on theories of psychotherapy, to those that focus on the developmental needs of the supervisee, to models that emphasize the process of supervision and the various roles of the supervisor (Bernard & Goodyear, 2014). However, despite the abundance of available supervision models, there is little evidence to support that any one approach is superior to another (Morgan & Sprenkle, 2007; Storm, Todd, Sprenkle, & Morgan, 2001). Thus, a growing body of clinical supervision literature underscores a need for strategies that integrate the most effective elements of supervision models into a parsimonious approach rather than emphasizing differences between models (Lampropoulos, 2002; Milne, Aylott, Fitzpatrick, & Ellis, 2008; Morgan & Sprenkle, 2007; Watkins, Budge, & Callahan, 2015). Common factors models of supervision bridge the various approaches to supervision by identifying the essential components that are shared across models, such as the supervisory relationship, the provision of feedback, and supervisee acquisition of new knowledge and skills (Milne et al., 2008; Morgan & Sprenkle, 2007). Other common factors approaches to supervision draw on psychotherapy outcome research, aiming to extrapolate common factors of counseling and psychotherapy—such as the therapeutic relationship and the instillation of hope—to clinical supervision approaches (Lampropoulos, 2002; Watkins et al., 2015)
Although reviews of the supervision literature allude to commonalities among supervision approaches (Bernard & Goodyear, 2014), there is a dearth of published literature offering practical strategies for bridging common factors of counseling and supervision. Perhaps even more limited is literature that addresses the necessary convergence of both common and specific factors, or the integration of common factors of supervision with particular interventions that are applied in various supervision approaches (e.g., role-playing or Socratic questioning; Watkins et al., 2015). In a recent article, Watkins and colleagues (2015) proposed a supervision model that extrapolates Wampold and Budge’s (2012) psychotherapy relationship model to specific factors of supervision, encouraging supervisors to apply such relationship common factors to some form of supervision. However, there remains a need for a structured approach to supervision that integrates the common factors of counseling and supervision with the specific factors of commonly used, empirically supported models of clinical supervision.
Because the common factors are, by definition, elements that are shared among theories of counseling and supervision, it can be argued that common factors approaches can be applied to almost any supervision model. However, we argue for the integration of common factors with the discrimination model for several reasons. First, the relationship has been found to be the essential common factor shared among counseling (Lambert & Barley, 2001; Norcross & Lambert, 2014) and supervision approaches, and is often cited as the most critical element of effective supervision and other change-inducing relationships, such as counseling, teaching and coaching (Lampropoulos, 2002; Ramos-Sánchez et al., 2002). The supervisory roles of teacher, counselor and consultant are built into the discrimination model, providing supervisors with natural avenues for fostering a strong supervisory relationship. However, the proposed Common Factors Discrimination Model (CFDM) expands on the discrimination model by providing specific recommendations for how supervisors might use such roles as opportunities for developing and maintaining the supervisory relationship. Second, we consider Bernard’s (1979, 1997) discrimination model to lend itself well to common factors approaches to supervision, as both are concerned with process aspects of supervision, such as tailoring supervision interventions to the needs of the supervisee. Finally, because the discrimination model is widely used by practicing supervisors (Timm, 2015), common factors approaches are likely to fit naturally with customary supervision practices of more experienced supervisors who espouse the discrimination model, yet the CFDM is concise enough for novice supervisors to grasp and apply. Thus, the purpose of this manuscript is to build on Watkins and colleagues’ (2015) model by presenting the CFDM, an innovative approach to supervision that converges common factors identified in both counseling and supervision and integrates them with the specific factors of Bernard’s (1979, 1997) discrimination model. Specifically, we will (a) review the relevant literature on common factors approaches to counseling and supervision and the discrimination model; (b) provide a rationale for a model of supervision that integrates the specific factors of the discrimination model with a common factors approach; and (c) offer strategies and recommendations for applying the CFDM in clinical supervision.
The Common Factors Approach
The notion of therapeutic common factors resulted from psychotherapy outcome research suggesting that psychotherapies yield equivalent outcomes when compared against each other and, thus, what makes psychotherapy effective is not the differences between therapies, but rather the commonalities among them (Lambert, 1986). Wampold’s (2001) landmark research revealed that the theoretical approach utilized by the therapist (e.g., psychodynamic therapy) explained less than 1% of therapy outcome. In light of these findings, researchers and clinicians have been urged to minimize the importance placed on specific clinical techniques and interventions; instead, an emphasis on the commonalities among therapies that are associated with positive outcomes (Norcross & Lambert, 2011), such as the therapeutic alliance, empathy, positive regard, and collaboration within the therapeutic relationship (Norcross & Lambert, 2014; Norcross & Wampold, 2011), is more useful for describing therapeutic changes.
Among the most influential common factors approaches is Lambert’s model of therapeutic factors (see Lambert & Barley, 2001, for a review). Although lacking in stringent meta-analytic or statistical methods, Lambert and Barley (2001) presented four primary factors that are shared among therapeutic approaches (with the percentage that each factor contributes to therapy outcome indicated): (a) extratherapeutic factors (i.e., factors associated with the client, as well as his or her environment; 40%); (b) common factors (i.e., relationship factors such as empathy, warmth, positive regard, supporting the client in taking risks; 30%); (c) placebo, hope, and expectancy factors (i.e., the client’s hope and expectancy for improvement, as well as trust in the treatment; 15%); and (d) skills/techniques factors (i.e., components specific to various therapies, such as empty chair or relaxation techniques; 15%). Although a variety of common factors have been identified in the psychotherapy outcome research, numerous meta-analyses have identified the therapeutic relationship as the sine qua non (Norcross & Lambert, 2011, p. 12) of common factors that account for positive outcomes irrespective of the specific treatment utilized (Norcross & Wampold, 2011). They stated: “although we deplore the mindless dichotomy between relationship and method in psychotherapy, we also need to publicly proclaim what decades of research have discovered and what tens of thousands of relational therapists have witnessed: The relationship can heal” (Norcross & Lambert, 2014, p. 400).
Although the common factors are necessary for producing positive counseling outcomes, this does not mean that specific factors are irrelevant (Norcross & Lambert, 2011). On the contrary, prior research indicates that engaging in specific treatment interventions is associated with the working alliance and with positive counseling outcomes (Tryon & Winograd, 2011; Wampold & Budge, 2012). Watkins and colleagues (2015) noted that treatment interventions are necessary in maintaining client hope and expectations for positive counseling outcomes, stating, “The specific ingredients create benefits through the common factor of expectations, and respecting that interdependent common/specific factor dynamic is vital to treatment outcome” (p. 221).
Common Factors Approaches to Supervision
Although the concept of common factors in counseling and psychotherapy is not a new one and has been the focus of considerable empirical research (Frank, 1982; Lambert & Barley, 2001; Lambert & Ogles, 2004; Rosenzweig, 1936), applying the common factors approach to clinical supervision is relatively novel (Morgan & Sprenkle, 2007). Counseling and clinical supervision are distinct interventions; however, Milne (2006) makes a case for extrapolating findings from psychotherapy research to supervision, as both share common structures and properties of education, skill development, problem-solving and the working alliance. Furthermore, Bernard and Goodyear (2014) noted, “because therapy and supervision are so closely linked, developments in psychotherapy theory inevitably will affect supervision models” (p. 59).
Despite frequent reference to the similarities among supervision models, literature that specifically addresses common factors of supervision approaches is scarce (Bernard & Goodyear, 2014). In our review of the supervision literature, we identified five articles that endorsed common factors approaches to supervision and counselor training (Castonguay, 2000; Lampropoulos, 2002; Milne et al., 2008; Morgan & Sprenkle, 2007; Watkins et al., 2015). Following Castonguay’s (2000) seminal work on training in psychotherapy integration, Lampropoulos (2002) was among the first to address the parallels that exist between common factors of both counseling and supervision, advocating for a theoretically eclectic approach to supervision and for the prescriptive matching of common factors to supervisee needs. For example, Lampropoulos (2002) suggested that supervisors might integrate psychodynamic theory as a means of increasing supervisees’ awareness of countertransference and attachment patterns, or cognitive theory in order to restructure supervisees’ unhelpful thoughts about counseling and supervision.
In contrast to Lampropoulos’s (2002) model, which extrapolates common factors of counseling to supervision, Morgan and Sprenkle (2007) and Milne and colleagues (2008) endorsed approaches that bridge similarities between supervision models. Morgan and Sprenkle (2007) identified a number of common factors among models of supervision, grouping these factors into the following three dimensions falling on their respective continua: (a) emphasis, ranging from specific clinical competence to general professional competence; (b) specificity, ranging from the idiosyncratic needs of supervisees and clients to the general needs of the profession as a whole; and (c) supervisory relationship, ranging from collaborative to directive. The authors (Morgan & Sprenkle, 2007) then proposed a model of supervision that applies these three dimensions of supervision to the supervisor roles of coach, teacher, mentor and administrator. In contrast, Milne and colleagues (2008) conducted a best evidence synthesis of the supervision literature to summarize the current state of empirical research on supervision practices and applied their findings to a basic model of supervision. Although both models (Milne et al., 2008; Morgan & Sprenkle, 2007) contributed viable descriptive models of common factors approaches to supervision, they were limited in providing specific strategies for supervisors to employ in a given situation. Furthermore, neither model specifically addressed the intersection of common factors of counseling and common factors of supervision. Thus, noting that common factors of counseling and specific factors of supervision approaches are interdependently related, Watkins and colleagues (2015) proposed a common/specific factors model, designating the supervisory relationship as the crowning common factor and encouraging supervisors to apply this relationship-centered model to the specific factors of “some form of supervision” (Watkins et al., 2015, p. 226). Following Watkins and colleagues’ recommendations, we therefore present an integrated approach to supervision by applying the common factors of counseling and supervision to the specific factors of the discrimination model.
The Discrimination Model
The discrimination model (Bernard, 1979, 1997) provides a conceptualization of clinical supervision as both an educational and a relationship process (Bernard & Goodyear, 2014; Borders & Brown, 2005). In essence, the discrimination model involves the dual functions of assessing the supervisee’s skills and choosing a supervisor role for addressing the supervisee’s needs and goals. The supervisee is assessed on three skill areas, or foci: (a) intervention (observable behaviors that the supervisee demonstrates in session, such as demonstration of skills and interventions); (b) conceptualization (cognitive processes, such as the supervisee’s ability to recognize the client’s themes and patterns, as well as the supervisee’s level of understanding of what is taking place in session); and (c) personalization (supervisee self-awareness and ability to adapt his or her own personal style of counseling while maintaining aware-ness of personal issues and countertransference). Furthermore, over 30 years ago, Lanning (1986) proposed the addition of assessing the supervisee’s professional behaviors, such as how the supervisee approaches legal and ethical issues.
When the supervisor has assessed the supervisee’s skill level in each of the three foci, the supervisor utilizing the discrimination model assumes the appropriate role for addressing the supervisee’s needs and goals: (a) teacher (assumed when the supervisor perceives that the supervisee requires instruction or direct feedback); (b) counselor (appropriate for when the supervisor aims to increase supervisee reflectivity, or to process the supervisee’s internal reality and experiences related to his or her professional development or work as a counselor); or (c) consultant (a more collaborative role that is assumed when the supervisor deems it appropriate for the supervisee to think and act more independently, or when the supervisor aims to encourage the supervisee to trust his or her own insights). It is important to note that the supervisor does not take on the singular form of any of the three roles, but rather makes use of the knowledge and skills that are characteristic of each role (Borders & Brown, 2005). The discrimination model is situation-specific; therefore, supervisor roles and foci of assessment might change within a supervision session and across sessions. Consequently, supervisors are advised to remain attuned to the supervisee’s needs in order to attend to his or her most pressing focus area and to assume the most suitable role for addressing these needs rather than displaying strict adherence to a preferred focus or role (Bernard & Goodyear, 2014).
The discrimination model is considered to be an accessible, empirically validated model for supervisors and can be adapted in complexity depending on the supervisor’s level of readiness (Bernard & Goodyear, 2014; Borders & Brown, 2005). Using multidimentional scaling in an empirical study of the discrimination model, Ellis and Dell (1986) provided validation for both the teacher and counselor roles, although the consultant role did not emerge as a distinct role. Their findings are consistent with other studies that provided support for the teacher and counselor roles, but not for the consultant role (Glidden & Tracey, 1992; Goodyear, Abadie, & Efros, 1984; Stenack & Dye, 1982). Thus, the consultant role might be more difficult to distinguish from the teaching and counseling roles, perhaps, as Bernard and Goodyear (2014) noted, because the consultant role requires supervisors to put aside their position of expert or therapist and act more collaboratively with their supervisees. Ellis and Dell provided an alternate (and conflicting) explanation, suggesting that consultation might be an underlying component of both the teaching and counseling roles. These findings indicate a need for future research and possible modification of the discrimination model; however, the discrimination model is generally supported by empirical research.
Rationale for an Integrated Model
Watkins and colleagues (2015) stated: “Akin to the ‘great psychotherapy debate’ about effectiveness (Wampold, 2001), a ‘great psychotherapy supervision debate’ about effectiveness is eminently likely” (p. 17). Several cross-cutting models of clinical supervision have been proposed (Milne et al., 2008; Morgan & Sprenkle, 2007), as well as models that extrapolate common factors of counseling to supervision practices (Lampropoulos, 2002; Watkins et al., 2015); however, there has yet to be a model that systematically converges both. Given the abundance of empirical support for common factors in counseling, we have conceptualized a new model, the CFDM, to integrate a supervision approach that is grounded in effective counseling and supervision practices. Furthermore, Watkins and colleagues encouraged supervisors to apply common factors of counseling to the specific factors of some form of supervision; however, to our knowledge, no such model integrating common factors with the specific factors of an empirically supported model of supervision has been published. Thus, the CFDM combines essential factors of supervision models, converges them with common factors of counseling approaches, and applies them to the specific factors of Bernard’s (1979, 1997) discrimination model for a structured approach that bridges effective elements of both counseling and supervision.
Bernard and Goodyear (2014) pointed to the supervisory relationship as one of the most essential factors in supervision; however, a major criticism of the discrimination model is that the model itself does not thoroughly address the supervisory relationship (Beinart, 2004). Similarly, Freeman and McHenry (1996) found that supervisors ranked the development of clinical skills as their top goal for supervising counselors-in-training and identified that supervision involves taking on the roles of teacher, challenger and supporter, but relationship building did not surface as an emphasis of counselor supervision (Bell, Hagedorn, & Robinson, 2016). Thus, the CFDM builds on the discrimination model by incorporating tenets of the supervisory relationship that are consistent with common factors of counseling and supervision, such as the working alliance (Bordin, 1983), the real relationship (Watkins, 2015), and the instillation of hope (Lambert & Barley, 2001; Lampropoulos, 2002). Historically, the supervision literature suggests that novice supervisors, in particular, might manage feelings of self-doubt and uncertainty by employing a highly structured supervision style, focusing on providing supervisees with feedback on counseling techniques or client diagnosis and placing less emphasis on attending to the supervisory relationship (Hess, 1986; Hess & Hess, 1983). Furthermore, whereas building rapport is a top priority in many therapeutic relationships, counselor supervisors might prioritize other factors instead, such as scheduling, paperwork, and evaluation, before establishing a relationship with the supervisee (Bell et al., 2016). Because the discrimination model is a widely used approach to supervision (Timm, 2015), experienced counselors who wish to incorporate common factors of supervision and counseling into their customary supervision practice will likely find the CFDM to be an intuitive supervision approach. The following section provides a description of the four primary tenets of the CFDM, as well as strategies and recommendations for applying the CFDM in supervision.
The Common Factors Discrimination Model
The CFDM is an innovative model of supervision that aims to integrate the common factors of counseling and supervision with the specific factors of Bernard’s (1979, 1997) discrimination model for a structured, relationship-centered approach to clinical supervision. The CFDM builds on existing supervision models that extrapolate common factors of counseling to supervision practices (Lampropoulos, 2002; Watkins et al., 2015). The CFDM also draws on the discrimination model (Bernard, 1979, 1997) as a method of assessing supervisee needs and tailoring feedback and support accordingly. Although the melding of common factors with the discrimination model has yet to be empirically tested as an integrated approach to supervision, both approaches have received substantial empirical support as standalone models. Empirical research supports common factors approaches to counseling and other change-inducing relationships; however, the CFDM’s underpinnings in the more prescriptive discrimination model provide a structured approach to common factors supervision. In addition, there is evidence to suggest the effectiveness of common factors approaches across cultures (Dewell & Owen, 2015).
We have proposed a model that combines effective common factors of counseling and supervision with the specific factors of Bernard’s (1979, 1997) widely used, empirically supported and accessible discrimination model for a structured approach to common factors supervision. The primary tenets of the CFDM were derived by reviewing the literature on common factors models of supervision and purposively selecting the most common elements, including: (a) development and maintenance of a strong supervisory relationship, (b) supervisee acquisition of new knowledge and skills, (c) supervisee self-awareness and self-reflection, and (d) assessment of supervisees’ needs and the provision of feedback based on the tenets of Bernard’s (1979, 1997) discrimination model. The following section provides a brief fictional case illustration followed by specific strategies for applying the CFDM to supervision. Specific examples for matching common factors with tenets of the discrimination model are provided in Table 1, based on an illustrative case example, followed by a discussion of the primary tenets of the case to the CFDM.
Case Illustration
André, a master’s student in mental health counseling, is completing his first semester of clinical practicum at his university’s community counseling center. Although André demonstrates competency across many clinical and professional domains, as a novice counselor trainee he struggles with reflecting feeling with clients in session. His supervisor has noticed that André tends to sidestep emotional topics in session and, instead of reflecting feeling, responds to emotional content by asking the client unrelated questions or by changing the subject. In the few instances in which he has attempted to reflect feeling, André has been inaccurate in his reflections, undershooting the intensity of the client’s feelings or misreading the client’s emotions altogether. This has sometimes led to tension and frustration between André and his clients. Using the CFDM, his supervisor might utilize the following strategies in supervision with André. In the following section, the case of André is discussed, integrating the primary tenets of the CFDM.
Application of the CFDM
The Supervisory Relationship
Bernard and Goodyear (2014) suggested that the supervisory relationship is a critical factor in effective supervision, regardless of the model of supervision that is followed. Thus, the central tenet of the CFDM is the development of a collaborative supervisory relationship that is characterized by the Rogerian conditions of empathy, genuineness, and unconditional positive regard (Lampropoulos, 2002). Utilizing the CFDM with André, the supervisor approaches her supervisory roles of teacher, counselor and consultant with warmth and acceptance as she addresses André’s difficulty reflecting feeling with his client, rather than using a confrontational or critical approach. Furthermore, she explores with André his personal experiences with emotion, taking into consideration his background and cultural factors that could play a role in his relationship with emotion.
The real relationship. The real relationship (Lampropoulos, 2002; Watkins, 2015) refers to a supervisory relationship that is unaltered by transference or countertransference and is characterized by empathy, warmth, genuineness, unconditional positive regard and trust. The expression of humor and optimism also is recommended in developing a common factors-influenced supervisory relationship. Extrapolating from Gelso’s (2014) tripartite model of the psychotherapy relationship, Watkins (2015) defined the real relationship as “the personal relationship between supervisor and supervisee marked by the extent to which each is genuine with the other and perceives/experiences the other in ways that befit the other” (p. 146). Factors of the real relationship are critical in supervision, as they allow supervisees to develop trust in the supervisory relationship and provide safety for supervisees to disclose vulnerabilities, mistakes and personal concerns (Storm et al., 2001).
Because the evaluative and hierarchical nature of supervision might make the supervisory relationship vulnerable to supervisory ruptures (Burke, Goodyear, & Guzzardo, 1998; Nelson & Friedlander, 2001; Safran, Muran, Stevens, & Rothman, 2007), the CFDM utilizes a collaborative evaluation process (Rønnestad & Skovholt, 1993), in which supervisees have the opportunity to practice evaluating their skills independently throughout their training either by journaling or by completing an evaluation form about their session and submitting their self-evaluation to their supervisor. Supervisee self-evaluations are then processed in supervision. The CFDM supervisor in the case illustration might use this strategy with André to allow him to raise self-awareness and to receive regular feedback on his skills. Furthermore, assuming the teacher role of the discrimination model, his supervisor might direct André to conduct a self-assessment of his reflections of feeling following each session, which he could bring into supervision to discuss and receive her feedback.
Because the supervisory relationship is the central tenet of the CFDM, it is advisable to evaluate and monitor the relationship throughout supervision. Furthermore, Lampropoulos (2002) recommended that supervisors identify and attempt to repair ruptures as soon as possible, as ruptures can be deleterious to supervision process and outcome. One such measure for evaluation of the supervisory relationship is the Supervisory Relationship Questionnaire (SRQ; Palomo, Beinart, & Cooper, 2010), a 67-item assessment of the supervisee’s perceptions of the supervisory relationship. Other plausible measures include the Working Alliance Inventory (Bahrick, 1990) and the Revised Relationship Inventory (Schacht, Howe, & Berman, 1988). Allowing André to assess the supervisory relationship and give his supervisor feedback can provide insight into André’s perception of their relationship and can allow the supervisor to consider making changes in her approach, if necessary. This also conveys to André that his feedback is valuable and that their supervisory relationship is collaborative.
The working alliance. The working alliance in supervision refers to the collaborative development of goals and tasks for supervision (Bordin, 1983; Constantino, Castonguay, & Schut, 2002; Lampropoulos, 2002). The working alliance is established in the CFDM by collaboratively developing a supervision contract between the supervisor and the supervisee (Lampropoulos, 2002) at the very beginning of the supervisory relationship. Goals for supervision that are addressed in the contract include evaluating supervisees’ strengths and areas for growth and identifying specific skills to be learned, as well as issues related to supervisee theoretical orientation. The tasks used to reach these goals can include process notes, live supervision, and interpersonal process recall (IPR; Kagan & Kagan, 1997) as a collaborative approach to processing André’s strengths and areas for growth, and for facilitating André’s self-reflection and self-awareness. The purpose of these tasks is to provide structure and opportunities for instruction, feedback, and evaluation, while allowing the supervisee to engage in self-evaluation, application of new skills, corrective action, and exploration of alternative approaches. The CFDM draws from the discrimination model when developing the contract as a means of evaluating supervisee’s three levels of foci (i.e., intervention, conceptualization and personalization). For example, when developing the supervision contract with André, the supervisor would consider André’s current level of competency with regard to techniques and clinical skills, case conceptualization skills, and self-awareness and personal style.
Instillation of hope and the creation of expectations. Frank and Frank (1991) noted the impact of positive expectations and hope in effecting change in counseling. Placebo, hope and expectancy factors emerged as a single common factor among most counseling approaches, with Lambert and Barley (2001) noting that instillation of hope accounts for 15% of client outcome. Watkins (1996) addressed the issue of demoralization in supervision, stating that beginning counselors can experience poor self-efficacy and might feel overwhelmed as they navigate their professional identity development. Watkins (1996) stated that supervisors are able to utilize the supervisory relationship as a means of encouraging supervisees and providing structure within the relationship to foster hope. Recently, Watkins and colleagues (2015) endorsed the creation of expectations and the provision of some method of supervision as a pathway by which supervisee change occurs. CFDM supervisors can incorporate hope and expectancy into supervision by using the consultant role of the discrimination model to explain to supervisees the process of supervision, and by collaborating with supervisees to provide supervision that builds on those expectations. Practical tools that André’s supervisor might implement to promote hope and positive expectations include developing a supervision contract with André or providing him with a professional disclosure statement in order to explain the process of supervision and to set supervisory rituals in motion (Watkins et al., 2015). Lampropoulos (2002) also suggested setting short- and long-term goals with supervisees as a means of instilling hope.
Supervisee Self-Awareness and Self-Reflection
An additional tenet of the CFDM is supervisee self-reflection concerning issues that influence professional development (Lampropoulos, 2002). CFDM supervision emphasizes the importance of encouraging supervisees to explore their strengths and areas for growth, and personal issues that might affect their work in counseling, as well as their therapeutic styles (Lampropoulos, 2002; Milne et al., 2008). The CFDM attempts to facilitate supervisee self-reflection by implementing strategies such as collaborative evaluation and the supervision contract (discussed above). Furthermore, the CFDM utilizes IPR (Kagan & Kagan, 1997), in which the supervisor and supervisee watch videotape of a supervisee’s counseling session together, pausing the tape at moments that either the supervisor or supervisee deems critical for further inquiry and processing. Taking on the role of counselor, the supervisor utilized IPR to explore what André was experiencing during that moment of the counseling session that might have prevented him from demonstrating reflection. Consistent with the common factors model, the supervisor confronted André with warmth, empathy and acceptance.
Acquisition of Knowledge and Skills
According to the discrimination model (Bernard, 1979, 1997), one of the primary roles of the supervisor is that of teacher. Thus, in addition to providing support and feedback, supervisors are in a position to impart knowledge and to facilitate supervisees’ acquisition of skills—a factor of supervision that surfaces in the majority of supervision models (Milne et al., 2008; Morgan & Sprenkle, 2007). Lampropoulos (2002) stated that supervisees might learn through direct instruction, through shaping (i.e., gradual learning of a desired behavior) and through their own personal experience. In addition, supervisees have opportunities to learn by imitating the behaviors of their supervisors and other counselors (Lampropoulos, 2002). Given that skills and techniques factors account for 15% of counseling outcome (Lambert & Barley, 2001), supervisors are in a position to model skills and techniques of counseling in supervision as a means of fostering supervisee learning and skill acquisition. Integrating common factors with the discrimination model, André’s supervisor might take on the role of teacher to watch a video clip with André of a recent counseling session in which André struggled to reflect feeling, directing him to role-play with his supervisor other ways that he could respond to his client when emotional content is disclosed. André’s supervisor also could provide him with a list of “feeling words” or other relevant resources in order to help him to increase his awareness of emotion and to broaden his feelings vocabulary.
Assessment of Supervisee Needs and the Provision of Feedback
A final tenet of the CFDM is assessment of supervisee needs and the provision of feedback utilizing the roles and foci presented in the discrimination model. Using the CFDM, the supervisor would implement tailoring (also referred to in the counseling literature as prescriptive matching)—or adapting supervision to fit the characteristics, worldviews and preferences of the supervisee—as would be done with clients in common factors approaches to counseling (Norcross & Halgin, 1997). In their review of the literature on clinical supervision, Goodyear and Bernard (1998) identified attending to supervisees’ individual differences as an essential component of effective supervision. Furthermore, tailoring is inherent in the discrimination model, which recommends matching the supervisor’s role to supervisee needs (Bernard, 1979, 1997). As a beginning clinician, André might express a greater need for structured, directive supervision compared to more experienced supervisees (Stoltenberg, McNeill, & Crethar, 1994). Because André self-disclosed his perception of emotion and how this relates to his identity as a male, his supervisor should include this in her conceptualization of André and how he approaches work with clients. Furthermore, this is a value that she might continue exploring with André in future supervision sessions if it could have an impact on his clinical work with clients. Multiple supervision models have recommended matching supervision to the supervisee’s therapeutic approach and cognitive and learning styles (e.g., level of cognitive complexity; Loganbill, Hardy, & Delworth, 1982; Stoltenberg, 1981), and Norcross and Halgin (1997) suggested beginning the supervisory relationship with a needs assessment to determine the supervisee’s unique needs, goals and preferences for supervision. Although tailoring can pose unique challenges for supervisors providing triadic or group supervision, individual differences such as supervisees’ level of experience, learning goals, gender and ethnicity can be taken into account in these formats.
Table 1
CFDM: Examples of DM Focus and Role Intersections and Common Factors Strategies (CFS)
Supervisor Roles (DM) |
Supervision Focus Area (DM) and CFS |
Teacher
|
Counselor
|
Consultant
|
Intervention |
André reports that he is uncertain of how to perform a lethality assessment. |
André struggles to reflect feeling and meaning with clients. |
André is interested in using children’s books in session with elementary-aged children. |
Common Factors Strategy: |
Supervisor teaches André the necessary steps of assessing for lethality, then the dyad engage in a role play in which the supervisee tests his new knowledge by performing a lethality assessment with the supervisee acting as the client.(Acquisition of New Knowledge and Skills) |
Supervisor asks André to reflect on the fact that he demonstrates empathy toward his clients while in supervision but struggles to show empathy by reflecting feeling and meaning in session.(Self-Exploration, Awareness, and Insight) |
Supervisor provides André with resources for using bibliotherapy in child counseling and offers to help the supervisee brainstorm methods for utilizing this intervention in counseling.(Acquisition of Knowledge and Skills) |
Conceptualization |
André struggles to provide client with accurate diagnosis. |
André perceives himself as being an ineffective counselor because he has difficulty choosing interventions in session. |
André requests more information on client stages of change. |
Common Factors Strategy: |
Supervisor and André practice diagnosing fictional clients using case studies from a DSM-5casebook. Supervisor then assigns André homework to practice completing a few case studies independently. Supervisor and André review and discuss André’s answers collaboratively during following supervision session.(Acquisition of Knowledge and Skills) |
Supervisor reflects supervisee’s feelings of inadequacy, offers encouragement, and normalizes the developmental challenges of supervisees. (Supervisory Relationship – Instillation of Hope and Raising of Expectations) |
Supervisor assists supervisee with locating information on client stages of change and discusses with supervisee the idea of conceptualizing client’s progress in counseling within the context of the client’s stage of change. (Acquisition of Knowledge of Skills) |
Personalization |
André exhibits behaviors that resemble racial microaggressions. |
André’s performance anxiety causes him to appear distracted in session. |
André shares that a client reminds him of his deceased mother. |
Common Factors Strategy: |
Supervisor reviews videotape of session with André and identifies an instance in which he exhibits a microaggression toward client. Supervisor gives André feedback on microaggressions and encourages André to engage in self-reflection on personal biases. (Provision of Feedback) |
Supervisor reflects André’s feelings of anxiety and asks André to reflect on how his anxiety may be affecting his work with clients. (Supervisory Relationship – The Real Relationship) |
Supervisor offers to help André process countertransference and communicates to André that he has handled the situation ethically and professionally by sharing with his supervisor his feelings of countertransference toward his client. (Supervisory Relationship and Provision of Feedback) |
Practical Challenges and Limitations
Utilization of the CFDM might pose challenges that warrant discussion. For example, the CFDM might intensify the parallel process due to its similarities to the structures and processes of counseling. Moreover, CFDM’s parallels to counseling might blur the lines between supervision and counseling, making it important for supervisors to clearly delineate the role and functions of supervision. Thus, the CFDM endorses utilizing the Rogerian condition of genuineness to facilitate an open, collaborative discussion between the supervisor and supervisee when potentially problematic issues of parallel processing arise in supervision. Furthermore, the CFDM might be vulnerable to challenges in dual relationships, as the various discrimination model roles that the supervisor might assume could blur the lines between the supervisory relationship versus other relationships that the supervisor might have with the supervisee, such as that of instructor. Therefore, supervisors utilizing the CFDM are encouraged to have an open discussion with supervisees from the beginning of supervision concerning the purposes, limitations and boundaries of the supervisory relationship. Such conversations can be facilitated with the use of a professional disclosure statement that outlines the supervisor’s roles (Blackwell, Strohmer, Belcas, & Burton, 2002; Cobia & Boes, 2000).
Because the central tenet of the CFDM is the identified supervisory relationship, a potential challenge that is perhaps inherent in the CFDM is addressing weaknesses and ruptures in the supervisory relationship. The CFDM might also be challenging for supervisors or supervisees who inherently struggle to establish strong supervisory and therapeutic relationships. Supervisees who demonstrate limited ability to establish a strong therapeutic relationship might benefit from direct instruction on behavioral skills that facilitate the therapeutic relationship, such as reflections of feeling and meaning. Lampropoulos (2002) recommended that gatekeeping measures be implemented for students who consistently demonstrate deficiency in establishing a strong therapeutic relationship with clients. Finally, outcome research is indicated to examine the validity of applying common factors principles of psychotherapy to clinical supervision, as well as the empirical merit of an integrated common factors and discrimination model of supervision.
Conclusion
The supervision literature abounds with approaches for supervising counselors; however, there is little evidence that any one approach outperforms another. Common factors approaches to counseling and supervision draw on the components that are shared among models for a parsimonious approach that places emphasis on the factors that are essential in producing positive counseling and supervision outcomes. However, although such factors are necessary, they are not sufficient for yielding positive change. Therefore, Watkins and colleagues (2015) noted the necessity of applying the specific factors of some form of supervision to a common factors approach. We have responded to this call by presenting the CDFM, which integrates the specific factors of Bernard’s (1979, 1997) discrimination model with the most common elements of counseling and supervision approaches: (a) the supervisory relationship, (b) supervisee acquisition of new knowledge and skills, (c) supervisee self-awareness and self-reflection, and (d) assessment of supervisees’ needs and the delivery of feedback according to the tenets of the discrimination model.
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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A. Elizabeth Crunk is a doctoral candidate at the University of Central Florida. Sejal M. Barden is an Assistant Professor at the University of Central Florida. Correspondence can be addressed to Elizabeth Crunk, University of Central Florida, College of Education and Human Performance, Department of Child, Family, and Community Sciences, 4000 Central Florida Blvd., P.O. Box 161250, Orlando, FL 32816-1250, elizabethcrunk@gmail.com.
Feb 4, 2017 | Volume 7 - Issue 1
Clare Merlin, Timothy Pagano, Amanda George, Cassandra Zanone, Benjamin Newman
The Council for Accreditation of Counseling and Related Educational Programs (CACREP) recently released its 2016 standards. Included in these standards is a requirement for school counseling master’s programs to have a minimum of 60 credit hours by the year 2020. This credit hour requirement is an increase from the previous 48-hour requirement and has caused considerable debate in the counselor education field. In this article, the authors assert that the credit hour increase will lead to positive or neutral effects for school counseling programs and benefit the field of school counseling as a whole. This claim is supported by historical examples, anticipated benefits to school counseling, and findings from a pilot study with school counseling programs that previously transitioned to 60 credit hours (N = 22).
Keywords: CACREP, accreditation, school counseling, counselor education, credit hours
The unification of the counseling profession is an aspiration long held within the field (American Counseling Association, 2009; Bobby, 2013; Simmons, 2003). However, historic differences in Council for Accreditation of Counseling and Related Educational Programs (CACREP) standards for completion of a counseling degree complicate a singular identity for the profession. Without a unified expectation of degree requirements, professionals who identify as “counselors” struggle to find a consentient definition for the counseling role. In order to reach unification in the field, it is necessary for counseling organizations and professionals to agree on the minimum credit requirements needed to obtain a counseling degree (Bobby, 2013; Williams, Milsom, Nassar-McMillan, & Pope, 2012).
Minimum credit requirements for a school counseling degree gained recent attention as CACREP released updated standards in 2016, including a new standard (1.J.) requiring 60 semester credit hours for all counseling specializations, including school counseling, rather than the previous 48-credit hour requirement (CACREP, 2015). CACREP designed this standard to create unity among program specialties so that all specialties—addictions counseling, career counseling, clinical mental health counseling, clinical rehabilitation counseling, college counseling and student affairs, marriage, couple, and family counseling, and school counseling—require the same number of credit hours (CACREP, 2015; Williams et al., 2012).
The publication of standard 1.J. has implications for numerous counselor education programs. In 2014, the authors researched the 229 CACREP-accredited school counseling programs in existence at the time and found that 170 programs, or 74%, required less than 60 credit hours for program completion. Similarly, in a study examining school counselor education programs (N = 126), Perusse, Poynton, Parzych, and Goodnough (2015) found that programs ranged in credit hour requirements from 30 to 67 semester credit hours, with an average of 49.6 credit hours. Sixty-one percent of program coordinators surveyed indicated that they required between 48 and 59 credit hours, whereas only 18% required 60 to 67 credit hours, and 14% required 36 to 45 credit hours. Although only 57% of the sample surveyed was CACREP-accredited, the percentage of participants requiring less than 60 credit hours in their programs in 2015 (75%) indicates that for these programs to become CACREP-accredited or reaccredited, many program coordinators will need to increase credit hours to 60 to meet standard 1.J.
Despite CACREP’s intentions for unification via standard 1.J., the standard’s implications for school counseling programs across the country have led to debate among counselor educators. In this article, the authors acknowledge concerns over the standard’s implications but suggest that an increase in required credit hours for CACREP-accredited school counseling programs will ultimately benefit school counseling programs and the school counseling field as a whole. The authors support this claim with a review of the history of CACREP and credit hour increases, prior research on the topic, results of a pilot study with programs that previously transitioned to 60 credit hours, and anticipated benefits for the school counseling field.
History
CACREP began in 1981 as a partnership between the Association for Counselor Education and
Supervision (ACES) and the American Personnel and Guidance Association, now known as the American Counseling Association (ACA; Bobby, 2013; Urofsky, Bobby, & Ritchie, 2013). This formation resulted when leaders from ACES, the American School Counselor Association (ASCA), the American College Personnel Association, and American Personnel and Guidance Association created comprehensive accreditation standards for counseling programs (Urofsky et al., 2013). Prior to the formation of CACREP in 1981, the only accreditation for counseling programs was provided by ACES on a voluntary basis (CACREP, 2017).
CACREP was formed to address three purposes: (a) to create guidelines reflecting expectations of the counseling profession, (b) to promote professionalism in counseling, and (c) to increase credibility in the profession (Adams, 2006; Bobby, 1992). More than 30 years later, the central mission of CACREP remains promoting the profession of counseling and related fields via “the development of preparation standards; the encouragement of excellence in program development; and the accreditation of professional preparation programs” (CACREP, 2017, para. 54). Through this process, CACREP provides accreditation to individual programs at the master’s and doctoral levels (CACREP, 2014).
Each area of CACREP accreditation maintains different programmatic standards in addition to a core set of general standards required of all counseling programs. CACREP designed the school counseling standards to prepare graduates to work with K–12 students to effectively address their personal/social, academic and career concerns (CACREP, 2015). CACREP standards appear increasingly valuable as leaders in the counseling profession seek a unified professional identity, particularly in light of the widely varying state licensing standards for counselors (Mascari & Webber, 2013). The CACREP standards serve as universal guidelines of best practices in educating future counselors. Moreover, researched benefits of attending a CACREP-accredited counseling program instead of a non-accredited program may include “increased internship and job opportunities, improved student quality, helpfulness in private practice, increased faculty professional involvement and publishing, and acceptance into a counselor education doctoral program” (Mascari & Webber, 2013, p. 20).
CACREP standards appear particularly relevant in the school counseling profession. In a study of 187 school counselors, on average, participants rated the CACREP school counseling standards as “highly” or “very highly” important to school counseling (Holcomb-McCoy, Bryan, & Rahill, 2002). This finding indicates support for the value of CACREP school counseling standards to the field of school counseling (Branthoover, Desmond, & Bruno, 2010), which is important, given that school counseling programs are the most represented master’s counseling specialty among CACREP-
accredited programs. School counseling programs comprise 36% of all CACREP-accredited programs, nearly 10% more than clinical mental health counseling programs (CACREP, 2016a).
Standards Changes
Despite research on the perceived value and benefits of CACREP standards, multiple facets of CACREP have proven controversial within the counseling profession. These controversies serve as proverbial lightning rods, creating conversation among leaders in the field (Schmidt, 1999). Historically, debate emerged in counselor education due to standards revisions. As in most professions, CACREP regularly modifies its standards to account for changes in the field of counseling (Adams, 2006). To modify the standards, a CACREP standards Revisions Committee formulates revised standards, releases the standards to the public for a comment period, and revises standards according to public feedback. They then release a second draft of revised standards, allow for public comment, and revise the standards accordingly before releasing a final set of revised standards (Williams et al., 2012). Periodic revisions of CACREP standards help counseling leaders address the current and future training needs of professional counselors (Bobby & Urofsky, 2008). These modifications are integral to the development of the counseling profession and parallel other helping professions that regularly revise training standards (Adams, 2006).
2009 Standards changes. One standards change controversy stems from the counseling profession developing a professional identity independent from counseling psychology and other counseling-
related fields. CACREP 2009 standard I.W.2. indicated that core faculty members preferably are trained in Counselor Education and Supervision doctoral programs (CACREP, 2009).
Research conducted shortly after the standard was published in 2009 demonstrated mixed opinions on the standards change—55% of the 180 counselor educators surveyed agreed or strongly agreed with the standard and 45% disagreed or strongly disagreed with it (Cannon & Cooper, 2010). Although counseling leaders may be attempting to move the field toward unification with standards like I.W.2., standards changes will not transpire without debate in the field.
Around the same time, a second debate emerged when proposed 2009 CACREP standards required community counseling programs to become clinical mental health counseling programs with 60 credit hours, rather than the previous 48-hour community counseling requirement, in order to become accredited (CACREP, 2009). This standard eventually became part of the 2009 CACREP standards, but not before raising fractured dialogue among counselor educators (Henriksen, Van Wiesner, & Kinsworthy, 2008). Henriksen et al. (2008) found opinions among 51 counselor educators in the state of Texas were nearly evenly divided about the issue—49% preferred to keep a 48-credit hour minimum, and 51% preferred a switch to a 60-hour minimum.
Similarly, Cannon and Cooper (2010) surveyed 295 CACREP counselor educators and found that attitudes toward the 2009 standards changes were mixed. They found attitudes toward the credit hour increase differed between community counseling counselor educators and clinical mental health counselor educators. Twenty-seven percent of community counselor educators agreed or strongly agreed with the 48-credit hour requirement, whereas only 4% of clinical mental health counselor educators agreed with the same requirement. Across all participants, 31% indicated satisfaction with the 2009 standard revisions, 38% disagreed or strongly disagreed that they were satisfied with the revisions, and 31% reported indecision. Similar disagreement over standards changes emerged six years later around the 2016 CACREP standards.
2016 Standards changes. On May 12, 2015, CACREP released the 2016 Standards, effective July 1, 2016. These standards are the product of a review process in which a Standards Revision Committee comprised of counselor educators from across the country examined if and how the CACREP Standards needed to be changed to meet the shifting needs of the counseling profession. They also focused on “simplifying, clarifying, and consolidating the existing standards” in their revisions (CACREP, 2012, para. 1). CACREP released the first draft of the 2016 Standards in September 2012 and allowed for public comment. They revised the Standards according to feedback, released the revised draft for further public comment, and revised the standards once more (Williams et al., 2012). The Standards Revision Committee then submitted a final Standards draft to the CACREP Board of Directors for adoption. It was adopted and released in May 2015 (CACREP, 2016b).
The 2016 CACREP standards suggest more equitable education among the different counseling specializations with regard to the required number of credits a student must accrue in order to graduate (CACREP, 2015). For example, although the 2009 CACREP standards required that the addictions counseling, clinical mental health counseling, and marriage, couple, and family counseling programs had a minimum of 60 semester credit hours, the school counseling, career counseling, and student affairs and college counseling programs required only a minimum of 48 semester credit hours (CACREP, 2009). The proposed 2016 Standards, however, require that all degree programs have a minimum of 60 credit hours by 2020 (CACREP, 2015). In time, these changes aim to unify all counseling specializations (Williams et al., 2012). Such an increase in credits aligns with CACREP’s mission of developing standards that better the profession and affirm a unified identity (Bobby, 2013).
When CACREP published proposed standard 1.J., requiring school counseling programs to have a minimum of 60 credit hours by 2020 (CACREP, 2015), debate arose. At the 2013 ACES School Counseling Interest Network meeting, counselor educators expressed concern about the proposed standard (Transforming School Counseling and College Access Interest Network [TSCCAIN], 2013). Some attendees asserted that mandating an increase to 60 credit hours would disenfranchise low-income students. Attendees argued that an increase in program costs and subsequently, tuition costs, could make counseling less practically desirable to otherwise qualified prospective students. Additionally, some counselor educators stated that increasing the number of credits for school counseling programs would place an undue burden on the training programs themselves by forcing these programs to hire more faculty members to teach additional courses. However, some counselor educators expressed support for the proposed credit hour increase, suggesting the standard could lead to higher quality applicants to school counseling programs and ultimately produce better qualified professionals in the field (TSCCAIN, 2013).
Although concerns about the outcomes of transitioning to 60 credit hours are understandable, when compared to the gains that can be made by increasing credit hours, standard 1.J. appears warranted. Three pieces of evidence support this claim: existing research on credit hour increases, data from a pilot study, and anticipated benefits to the school counseling field.
Existing Research
To date, no research has explored the implications of changing school counseling credit hour requirements from 48 to 60; however, it is beneficial to explore other fields of study to understand trends, long-term effects and the manner in which other researchers have studied this topic. Previous studies either focused on non-counseling fields (T. K. Fagan, personal communication, November 1, 2014) or are in school counseling-related fields, but the research is significantly outdated (Barkley & Percy, 1984; Hollis, 1998).
More than 30 years ago, Barkley and Percy (1984) explored enrollment in counselor education programs. As the most recent individuals to publish on this topic, their research still warrants attention. Barkley and Percy’s study examined the declining rate of applications to counselor education programs (N = 90) in the United States at that time. They used correlation research to examine whether or not relationships existed between the number of applications to programs, program accreditation status, and whether programs had increased credit hours between 1975 and 1983. Barkley and Percy found that although accredited programs in their sample (n = 8) had more applicants than non-accredited programs (n = 77), those that increased credit hours (n = 39) encountered fewer applicants than those that did not (n = 37). They hypothesized that applicants to lower credit hour programs were more interested in attending lower credit requirement schools than higher credit requirement schools (Barkley & Percy, 1984; Hollis, 1998). They found that these relationships were weak, however, and concluded: “There is no evidence from this study to support a hypothesis that seeking accreditation and/or moderate increases in credit hour requirements results in declining enrollments” (Barkley & Percy, 1984, pp. 23–24).
In the related field of school psychology, the National Association of School Psychologists (NASP) is a professional association recognized by the National Council for the Accreditation of Teacher Education as a specialized professional association. NASP began reviewing and approving school psychology programs in 1988. In 2011, approximately 70% of school psychology programs in the United States were NASP-approved (Prus & Strein, 2011). When the NASP credit hour requirement for school psychology programs changed from a master’s degree to a 60-credit hour Educational Specialist (Ed.S.) requirement, programs that adjusted to meet this new requirement received a comparable amount of applications (T. K. Fagan, personal communication, November 1, 2014). This outcome in school psychology suggests that school counseling programs increasing to 60 credit hours also may receive similar numbers of applicants after increasing to 60 credits as they did before increasing credit hours.
Although little research addresses differences between counseling programs before and after credit hour changes, research on CACREP-accredited programs and non-accredited programs may indicate potential differences, given that, on average, accredited programs require more credit hours than non-accredited programs (Hollis, 1998; Mascari & Webber, 2013). In 1998, Hollis compared admissions data from 104 mental health counseling programs and found that on average, CACREP-accredited programs required students to have higher grade point averages for admission (3.02) than non-accredited programs (2.91). Minimum GRE scores for admissions were nearly the same, but graduation rates differed. Despite similar average enrollments across programs, CACREP-accredited programs graduate more students on average than non-accredited programs (Hollis, 1998). This research may indicate potential differences in graduation rates and admission standards between programs with higher and lower credit hour requirements.
These three examples suggest that credit hour increases do not lead to poorer outcomes for programs and may in fact enhance the overall educative experience. Though findings did not include conclusive evidence of benefits from increasing credit hours, the studies showed that after programs increased credit hours, they encountered similar admissions outcomes (Barkley & Percy, 1984; T. K. Fagan, personal communication, November 1, 2014) or improved graduation rates (Hollis, 1998) compared to those measures before increasing credit hours. Consequently, there is no research base to conclude that increasing counseling program credit hours is harmful to counseling programs in admissions or graduation rates.
Pilot Study
Although existing research is consistent, it is outdated. To understand the potential outcomes school counseling programs encounter when they increase credit hours, the authors conducted a pilot study to explore the admissions and job placement data of CACREP-accredited school counseling master’s programs that previously transitioned to 60 credit hours. In 2014, 59 (26%) of the 229 school counseling CACREP-accredited programs required 60 credits or more for program graduates. This number constitutes more than one quarter of all CACREP-accredited school counseling programs, despite CACREP requiring only 48 credit hours at the time. Furthermore, it supports Hollis’ (1998) assertion that counseling programs often increase their required credit hours before higher standards are established. These increases may symbolize support for and valuing of increased credit hours for the benefit of program graduates. The authors collected admissions and job placement data from CACREP program liaisons (henceforth, “participants”) whose school counseling programs previously transitioned to 60 credit hours. They also explored the participants’ perceptions regarding whether transitioning to 60 credit hours impacted program admissions and graduate job placement rates. Though the study was a pilot with limited sample size (N = 22), the exploratory data may prove insightful for school counseling faculty members looking to transition programs to 60 credit hours. These data also may be helpful for researchers to understand the potential impact of credit hour transitions on programs.
Participants provided data via a 26-item electronic questionnaire. Twenty-four questions addressed quantity of applications, quality of applications (measured by enrolled students’ undergraduate grade point average [GPA], GRE scores, racial demographics, gender demographics, international demographics, and out-of-state demographics [Cassuto, 2016]), and graduate job placement rates. Two open-ended questions explored participants’ perspectives on the topic. The questions read: “From your perspective, what, if any, impact did the transition to a 60-credit graduation requirement for master’s school counseling programs at your institution have on the quantity, quality and diversity of applicants?” and, “What (if any) feedback on the survey would you like to provide to the researchers?”
Positive and Neutral Outcomes
CACREP standard 1.J. established equal credit hour requirements in order to create unity among counseling specialties, thus leading to positive effects for the profession (Williams et al., 2012). In their pilot study, the authors found that all participants contributing program data (n = 7) experienced positive or neutral effects in some items measuring admissions quality, admissions quantity or graduate job placement rates after transitioning to 60 credit hours. Although data indicated mixed experiences for two items, enrolled students’ undergraduate GPAs and GRE scores, in the majority of items participants encountered only positive and neutral effects. These items were: racial diversity of enrolled students, number of enrolled international students, number of enrolled out-of-state students, and job placement rates of program graduates.
Participants who provided comments to open-ended questions (n = 22) contributed further insights on these positive outcomes after transitioning to 60 credit hours. Nine participants explicitly stated that transitioning to a 60-credit hour minimum had a positive impact on their school counseling master’s programs. For example, one participant stated that the 60-credit hour program format “brought better applicants,” and another participant said, “I believe our student applicant pool increased in size as well as improved in quality of applicant.” A third participant indicated the following as a result of changing to 60 credit hours:
The quality of our program increased as did our enrollment. We anticipated an initial drop in enrollment that never materialized. Students told us that they preferred the comprehensive training they would get with a 60-hour program and selected us over other 48-hour programs. Our program grew as a result of moving to 60 hours.
This feedback suggests that for this participant’s program, transitioning to 60 credit hours clearly led to positive results.
Six participants responded to open-ended questions indicating neutral outcomes from transitioning to 60 credit hours. They stated that they did not believe their programs’ transition to a 60-credit hour minimum had an impact on admissions or job placement rates. For example, one participant noted, “The transition from 48 to 60 hours seemed to have no effect whatsoever on the quantity and quality and/or diversity of applicants.” Another participant described the change as having “little to no negative impact” on their program, and another described it as having “minimal impact.” The latter participant wrote, “I see no significant change in applicant qualifications.”
It is notable that three of the items that did not change for any participants—quantity of enrolled international students, quantity of enrolled out-of-state students, and enrolled students’ racial diversity—are items measuring program diversity. This finding suggests that for the participants in this pilot study, the credit hour transition did not impact applicant diversity to their school counseling programs. This may counter the notion that requiring 60 credit hours for program completion will disenfranchise certain students due to increased tuition (TSCCAIN, 2013). In addition, previous research indicates variables such as financial aid packages, faculty contact with prospective students, diverse student populations, and faculty diversity influence the recruitment of diverse students (Guiffrida & Douthit, 2010; Shin, Smith, Goodrich, & LaRosa, 2011; Talleyrand, Chung, & Bemak, 2006). These variables may be more impactful on recruiting diverse students than program credit hours.
Negative Outcomes
Despite the professed intent of CACREP standard 1.J. (Williams et al., 2012), some counselor educators speculated that such credit hour increases would have negative effects on school counseling programs (TSCCAIN, 2013). Of all participants in the pilot study whose programs transitioned to a 60-credit hour requirement, none expressed perceptions that increasing their credit hours led to negative outcomes. This finding suggests opposition to arguments that increasing to 60 credit hours will result in harmful effects in programs. The fact that 22 study participants commented on their transitions to 60 credit hours and none expressed the belief that transitioning caused negative outcomes appears noteworthy.
Descriptive statistics of program data showed that only one item, enrolled students’ gender diversity, decreased or stayed the same when participants’ programs transitioned to 60 credit hours. Although this finding may indicate worsening gender disparity in counseling, recent statistics demonstrate a consistent discrepancy in the number of male and female individuals in the counseling profession (Evans, 2013). According to data from ACA, males consistently comprised only 26–29% of the ACA membership between 2002 and 2012 (Evans, 2013). Given the consistency of these percentages over time, it is reasonable that the participants in this study saw gender diversity decrease or stay the same despite transitioning to 60 credit hours because the construct is one that is stable over time and may not have been impacted by credit hour increases. Similarly, CACREP’s 2015 Annual Report authors noted that only 18% of students enrolled in CACREP programs are male (CACREP, 2016a), adding additional legitimacy to a concern for gender disproportionality in counseling overall and disaffirming concern for decreased gender diversity due to credit hour increases.
Program Factors Impacting Outcomes
In the debate over increasing school counseling program credit hours, dialogue centered on the impact that a credit hour increase might have on programs. However, pilot study findings indicated that when programs previously transitioned to 60 credit hours, program-specific characteristics likely had a greater impact on transition outcomes than the transition itself. For example, multiple participants indicated that current events during the time of their credit hour transition appeared to impact their program admissions and student job placement rate more than the actual credit hour transition. As one participant explained:
I don’t think the 60 credits had any impact. The year we moved to 60 was right when the economy went bust, so all of our programs experienced a drop in applicants. We tend to be pretty consistent in the quality of our applicants overall as well as in the relative diversity of our applicants.
Other participants noted that their original number of credit hours prior to transitioning to 60 credits likely impacted their program outcomes after transitioning. Several participants worked in school counseling programs that transitioned from 55 or 57 credit hours to 60 credits. They stated that increasing their program requirements by just a few credit hours did not appear to impact their program admissions or graduate job placement rate.
Another participant indicated school counselors in their state are paid a higher salary if they graduate from 60-credit hour programs. Therefore, offering a school counseling program with a 60-credit hour track helped market the program, the participant reported. If school counseling faculty members work in states in which school counselors receive higher salaries for earning 60 credit hours, then a credit hour increase may lead to more positive changes in admissions than negative ones.
Lastly, hosting other counseling specialties (e.g., clinical mental health, addictions) at a university may impact a school counseling program and its transition to 60 credit hours. One participant noted that their school counseling program increased to a 60-credit hour minimum because the other counseling programs at their institution already required 60 credit hours. This participant said, “We decided to move all programs to 60 hours rather than have the difference in concentrations (in part due to perceptions of why one concentration would require more than the other).” If faculty members are increasing credit hours for school counseling programs at institutions in which other counseling programs already required 60 credit hours, the credit increase may be more widely accepted by potential applicants and lead to neutral or positive outcomes in admissions.
According to pilot study participants, each of these program factors impacted the effects their programs encountered after changing to 60 or more credit hours. Counselor educators leading school counseling programs that have not yet transitioned to 60 credit hours may take note of the factors and examine their own programs’ characteristics that may impact transition outcomes. Counselor educators would benefit from reflecting on the context and characteristics of their programs before concluding that increasing to 60 credit hours will be problematic.
Benefits to School Counselors
As the field of school counseling has evolved, so has the preparation of school counselors-in-training. Such preparation has evolved from an emphasis on vocational guidance (Cinotti, 2014), to training on comprehensive programming (ASCA, 2012; DeKruyf, Auger, & Trice-Black, 2013), to training on leadership and advocacy to create systemic change in schools (Ockerman, Patrikakou, & Feiker Hollenbeck, 2015). Researchers, counselor educators and school counselors are frequently calling for even better training. Recent calls include better preparation in instructional techniques to effectively conduct classroom guidance lessons (Ohrt, Blalock, & Limberg, 2016), collaborative coursework with educational leadership students (Beck, 2016; DeSimone & Roberts, 2016), preparation specific to working in urban areas (Hannon, 2016), suicide assessment practice (Douglas & Wachter-Morris, 2015), training in navigating professional identity issues (Gilbride, Goodrich, & Luke, 2016; Scarborough & Luke, 2008) and improved training in Response to Intervention to advance school counseling services (Ockerman et al., 2015).
In creating CACREP standard 1.J., CACREP has created an opportunity for counselor educators to add coursework that meets these calls and better prepares school counselors-in-training for the needs they will encounter in schools. Counselor educators may want to consider adding courses on the preparation topics called for, such as consultation in school counseling (Ockerman et al., 2015), leadership in school counseling (Beck, 2016; DeSimone & Roberts, 2016), and conducting classroom guidance lessons (Ohrt et al., 2016). In better training future school counselors in these areas, counselor educators can enhance the expertise of school counselors graduating from their programs, and ultimately better support K–12 students.
Lastly, CACREP’s standard 1.J. holds the potential to benefit the school counseling field as a whole. School counselors serve as both counselors and educators in schools and often receive mixed messages about this dual role (Cinotti, 2014). CACREP’s previous school counseling credit hour requirements may have contributed to school counselor role confusion, suggesting that school counselors were not as well-trained as clinical mental health counselors or counselors in other specialties requiring 60 credit hours. In establishing the same credit hour requirements for all counseling programs, CACREP has asserted that school counselors are equally as well-prepared as their colleagues in clinical mental health, marriage and family counseling, addictions counseling, and other specialties. Such an affirmation lends support to the professional standing of school counselors in the counseling field.
Future Research
With the recent release of the 2016 CACREP standards and the inclusion of standard 1.J. requiring 60 credit hours for school counseling programs, faculty members who work at programs with less than 60 credit hours may want to look to the 59 programs that have already transitioned to 60 credit hours as models for transition. Although counselor educators have understandable concerns about the impact that a credit hour increase may have on school counseling programs, previous research and the authors’ pilot study findings provide limited support for these concerns. Instead, research indicates that on average, school counseling programs may encounter improved outcomes in programs admissions and graduate job placement rates or similar outcomes to those experienced before increasing credit hours. Future research on programs that transition to 60 credits will prove valuable in confirming these outcomes.
To conduct this research, researchers will need longitudinal program data, including ongoing admissions and job placement data, from universities. In collecting data for their pilot study, the authors learned that many school counseling programs do not maintain continuous data on admissions and job placement. Of the 34 participants who initially responded to the pilot study questionnaire, 27 participants could not provide complete quantitative data on program admissions or job placement rates. Many of these participants noted that they were unable to do so because such data were unavailable. Some participants reported that transitioning to 60 credit hours so long ago inhibited them from finding and submitting data; seven participants indicated that they transitioned to 60 credit hours more than 15 years ago.
Reasons for unavailable data varied, but most had to do with the absence of data-keeping over time. One participant wrote, “I apologize that I don’t have concrete data for you. It’s a long time ago that we changed to 60 hours (8 years). I was not program director then.” Another participant explained, “We transitioned almost 30 years ago . . . and it would be impossible to get the information to you.” A different participant highlighted that aggregate data-keeping presented a challenge. They wrote, “I am sorry I cannot answer the first part of this survey. Because we have a counselor-first identity, all program admission processes are in aggregate—we do not have separate data for community counseling students, clinical mental health counseling students, and school counseling students.”
These data-keeping challenges pose an obstacle for future research on the impact of credit hour changes on counseling programs. They also support Shin and colleagues’ (2011) findings that counselor education programs often do not maintain admissions data. In their survey research study of 114 CACREP liaisons, Shin et al. found that although some participants reported maintaining admissions and student race and ethnicity data for up to 20 years, other programs reported keeping this data for as little as one year. Moreover, 57% of participants reported not retaining information on prospective students that declined admission to their programs. Although these data may or may not be related to the impact that credit hour changes have on counseling programs, these data-keeping percentages suggest that counseling programs could benefit from collecting and maintaining data in more thorough and consistent ways.
When conducting research on credit hour increases, researchers may also want to examine data points other than admissions and job placement. When counselor educators devote added credit hours to new coursework, they can consider how this coursework will benefit counselors-in-training, then measure those benefits. For example, if counselor educators devote extra credit hours to coursework in advanced techniques, they should collect and maintain data on the counseling techniques of counselors-in-training before and after transitioning to 60 credit hours. If counselor educators create extra coursework in consultation in schools, advocacy or leadership, these skills can be assessed in students before and after creating the courses. Evaluations from employers of alumni can also be examined to explore if counselor ratings improve after increasing credit hours.
If researchers are to better understand the impact that credit hour changes have on counseling programs, it is imperative that counselor educators regularly collect and store data on program outcomes. If counselor educators can begin doing so before credit hour changes take effect, they may be able to track trends in program outcomes associated with the credit hour changes over time. Researchers would be wise to begin longitudinal studies with programs in order to collect data on an ongoing basis and determine if the credit hour change has any effect. This research could prove useful in informing future CACREP standards, including potential credit hour changes. As Barkley and Percy (1984) recommended more than three decades ago, “Counselor education programs [ought to] begin keeping data on applications, acceptances, and enrollments. . . . These factors are too important to the life of most counselor education programs not to have accurate data readily available” (p. 25).
Conclusion
In the three and half decades since CACREP was established, credit hour increases for accredited programs have been met with divided reactions from counselor educators (Cannon & Cooper, 2010; Henriksen et al., 2008; TSCCAIN, 2013). The publication of CACREP’s 2016 Standards is no exception. Counselor educators are wise to consider the program implications of any new standard, including standard 1.J. However, to date, no research provides cause to believe that this standard will significantly contribute to negative school counseling program outcomes. To the contrary, previous research indicates program outcomes will improve or stay the same after increasing credit hours, and findings from the authors’ pilot study reflect similarly. Future research can provide further valuable insights on the impact of credit hour increases on counseling programs.
Conflict of Interest and Funding Disclosure
This research study was conducted by the authors and was supported in part by a CACREP Student Research Grant. The article is the sole work of the authors and does not necessarily reflect the beliefs or ideas of CACREP, the CACREP Board of Directors, or CACREP staff.
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Clare Merlin, NCC, is an Assistant Professor at the University of North Carolina at Charlotte. Timothy Pagano, NCC, is a doctoral candidate at the University of North Dakota. Amanda George, NCC, is a Professional School Counselor for Loudon County Public Schools in Sterling, VA. Cassandra Zanone, NCC, is a J.D. candidate at the University of California at Los Angeles. Benjamin Newman, NCC, is a doctoral student at the College of William and Mary. Correspondence can be addressed to Clare Merlin, 9201 University City Boulevard, Charlotte, NC, 28223, cmerlin1@uncc.edu.
Sep 23, 2016 | Volume 6 - Issue 4
Maribeth F. Jorgensen, Kathleen Brown-Rice
The use of objective methods in gatekeeping processes has become increasingly more important due to legal and ethical implications and consequences. For example, the medical field has utilized criminal background checks (CBCs) as a gatekeeping assessment of a student’s ability to best serve future patients. This article focuses on the current use of CBCs by master’s-level counselor education programs (N = 83) accredited by the Council for Accreditation of Counseling and Related Educational Programs (CACREP). A significant implication from this study is the need for counselor education to consider best practices and guidelines for the use of CBCs.
Keywords: criminal background, criminal background checks, gatekeeping, counselor education, counseling programs
Counselor educators and supervisors are ethically bound to not endorse any counselor-in-training (CIT) for certification, licensure, employment or completion of an academic program when they believe a CIT is not qualified for the endorsement (American Counseling Association [ACA], 2014). In particular, educators are required to screen all counseling program applicants prior to admission and to continually and thoroughly evaluate and appraise students during their progression through the program (Erwin & Toomey, 2005). It has been suggested that utilizing criminal background checks (CBCs) with students should be part of the gatekeeping process in behavioral health programs (Brodersen, Swick, & Richman, 2009; Cowburn & Nelson, 2008; Erwin & Toomey, 2005). In fact, government agencies and private and public employers are increasing their use of CBCs as a screening mechanism (Sheets & Kappel, 2007). CBCs may be conducted to determine if an individual is a potential threat to clients, vulnerable populations or fellow employees. According to Sheets and Kappel (2007), “Because most consumers are not in the position to run CBCs . . . they depend on professional licensing boards to conduct appropriate screening of applicants” (p. 64). This could be a concern, however, because CITs work with clients while they are in their training program. Counseling programs that do not have access to CBC data may be left without critical information to help best protect vulnerable populations. Therefore, the responsibility of having CBC results might more appropriately fall on counselor educators (ACA, 2014).
All 50 states, the District of Columbia, Guam, Puerto Rico and the Virgin Islands require a CBC for school counselors (American Counseling Association, Office of Public Policy and Legislation, 2011). According to ACA (2010), as of 2010 six states (i.e., Arizona, Maine, Mississippi, Missouri, Montana, Tennessee) required a CBC as part of the licensure application process. North Carolina requires applicants to sign a statement authorizing the licensing board to conduct a full criminal record search, including state and federal records (North Carolina Board of Licensed Professional Counselors 2013). The state of Washington requires applicants to submit fingerprints as a means to perform a professional criminal background check. Given that passing a CBC is a criterion for certification or licensure for professional counselors in some jurisdictions, it seems important to examine if counselor education programs are utilizing CBCs as part of the admission process, student evaluation for CITs, and ultimately as a tool for gatekeeping.
Gatekeeping in the Field
According to Kerl and Eichler (2005), “In the field of counselor education, gatekeepers are the professionals whose responsibility it is to open or close the gates on the path toward becoming a counselor” (p. 74). The Council for Accreditation of Counseling and Related Educational Programs (CACREP) requires counseling programs to start the gatekeeping process at the onset of screening applicants for admission. Unfortunately, there is ambiguity about specific ways to gatekeep during the admission process, which may prompt inconsistencies between those operating as gatekeepers. Several studies have examined barriers to effective gatekeeping (Brear & Dorrian, 2010; Brodersen et al., 2009; Brown-Rice & Furr, 2014). Some of the barriers include a need to meet desired enrollment, inconsistent screening procedures, likability effect, inadequate training on how to be a gatekeeper, social loafing, the leniency effect, and the empathy veil effect (Brear & Dorrian, 2010; Brown-Rice & Furr, 2014). The previous findings support the need to examine the current use of objective measures that may diminish some of these described obstacles.
Swank and Smith-Adcock (2014) examined the screening and gatekeeping methods used by 79 master’s- and doctoral-level CACREP-accredited counseling programs. Specifically, they asked programs about their use and perceived effectiveness of objective (e.g., grade point average [GPA]) and subjective (e.g., interviews) methods of gatekeeping during the admission process. The majority of surveyed programs placed higher weight on GPA and letters of recommendation during the admission process. Participants described their methods as inefficient and stressed the need to use consistent evaluation to reduce the impact of subjectivity. They also described a desire to use reliable assessments such as formal background checks to better assess psychological fit (Swank & Smith-Adcock, 2014).
Brear and Dorian (2010) conducted a study to examine how 63 counseling educators experienced their training and training as gatekeepers. Their respondents indicated a commitment to be effective gatekeepers, but they had difficulties minimizing their subjectivity because of vague guidelines and written policies. Many of their participants stated they observed other faculty being lenient and failing to capitalize on key moments when students were displaying behaviors of concern. Brear and Dorrian suggested that programs use objective procedures for gatekeeping and provide ongoing training to help faculty better understand their gatekeeper roles and related policies.
Brown-Rice and Furr (2014) discussed the role empathy can play in the gatekeeping process. Ultimately, the authors suggested that counselor educators benefit from finding a balance between being empathic and evaluative in their roles. Brown-Rice and Furr described that empathy may impact how counselor educators gatekeep and intervene with problematic behavior. They coined the term empathy veil effect and suggested that it is compounded by factors such as lack of consistent standards across faculty, lack of scholarly sources to refer, and fears of legal retaliation made by students. Although these factors have historically been barriers, the field of counselor education is at a critical point to establish well-documented, researched and supported screening procedures for potential CITs. This study aims to provide a greater description of how counseling programs currently use CBCs in the process of gatekeeping.
Criminal Background Checks
Literature searches revealed only one study that explored the use of CBCs by counseling programs (Erwin & Toomey, 2005). This is concerning given that some states require CBCs of school counselors and licensure candidates. Over 10 years ago, Erwin and Toomey (2005) conducted a study of 50 CACREP-accredited counseling programs to examine use of CBCs. Specifically, they sought to gather data about how counseling programs use criminal background checks and what resources are consulted when deciding how and when to use CBCs. At the time of their study and within their sample, five CACREP-accredited counseling programs were utilizing CBCs. Alarmingly, none of the programs that indicated use of CBCs answered the question about having established criteria to decide how criminal background check results are used.
Scholars within other human services fields have provided commentary or empirically explored the use of CBCs in their related training programs. Burns, Frank-Stromborg, Teytelman, and Herren (2004) wrote about the use of CBCs in the field of nursing. At the time of their commentary, most state nursing licensure boards made CBCs mandatory for nurses in order to practice. In contrast with nursing licensing boards, most nursing training programs had not made CBCs a requirement due to not having sufficient guidance in how to use the results of CBCs.
Farnsworth and Springer (2006) empirically investigated the use of CBCs by nursing programs. They surveyed 258 nursing schools from across the United States and found that fewer than 50% of the surveyed schools required background checks. Only 8% of the schools that conducted CBCs used them as a part of the admission process. For those that did obtain background checks, there was no standard way to process the results and no universal guidelines were available on how to interpret results. Farnsworth and Springer suggested that schools considering CBCs should seek legal counsel and communicate with other programs using CBCs. They also recommended programs require a criminal self-disclosure in addition to a background check to determine consistencies between self-disclosures and the results of CBCs (Farnsworth & Springer, 2006).
According to Kleshinski, Case, Davis, Heinrich, and Witzburg (2011), approximately 113 medical schools used background checks at the time of their commentary. Medical schools have benefitted from using CBCs by detecting patterns of behaviors that may impede a student’s ability to practice and best serve future patients. Kleshinski and colleagues found that common patterns across medical schools using CBCs included: (1) individually considering each situation by factoring in variables such as date and nature of offense; and (2) asking students about past criminal behaviors on admission applications. Importantly, there may be discrepancies between what students report on applications and what their CBCs show; therefore, solely relying on self-report could be problematic.
Within the field of sports science, Weuve, Martin, and White (2008) described many of the same concerns and uncertainties. They suggested that common reasons to conduct CBCs include “promotion of a safe school environment, protection of patients, clients, and student-athletes, because it is required of clinical facilities, and it enhanced student advisement and compliance with state or federal law” (Weuve et al., 2008, p. 28). These authors also speculated that programs may not conduct CBCs because of certain state and federal law, fear of further marginalizing minorities, and due to minimal resources to help the process be informed. Although these suggestions and concerns seem to be well-conceptualized across fields, few studies have taken the next step to empirically examine these issues.
Based on previous literature, there is consistent concern with a lack of universal policies across graduate training programs related to the use of CBCs. Additionally, only one study has empirically investigated how often and in what ways CBCs are being used with counseling graduate school applications (Erwin & Toomey, 2005). Unfortunately, this study is outdated and may leave the field of counseling without adequate evidence-based support to enhance their gatekeeping processes.
Currently, when programs are deciding to use CBCs, they will find minimal information about key aspects such as what company or vendor to use when conducting CBCs; who is financially liable for the CBC; when a CBC should be required; how information from CBCs are used; how students are informed about CBCs; and how to decide if an offense is related to the counseling profession (Weuve et al., 2008). Counseling programs could be held liable for not conducting CBCs, especially if the safety of others is compromised. At the same time, counseling programs also could face liability for using CBCs when guidelines are unclear, applicants are not informed, and policies are not in place about how CBC results may be used.
Given the limited research on this issue, the purpose of this study was to determine how CACREP-accredited master’s programs are utilizing CBCs regarding applicants and current students. Specifi-cally, the following research questions were addressed: (a) Do CACREP-accredited master’s programs require applicants to undergo a CBC? (b) What are the program’s procedures for performing the CBC of applicants? (c) Do programs have established protocols regarding how the results of CBCs affect applicants? ( d) Do CACREP-accredited master’s programs require current students to undergo a CBC? (e) What are the program’s procedures for performing the CBCs of current students? (f) Do programs have established protocols regarding how the results of CBCs affect current students? and (g) What do CACREP program representatives believe are their legal and ethical obligations related to performing CBCs with applicants or current students?
Methodology
Participants and Procedures
Participants were the program contacts for the 270 CACREP-accredited master’s programs listed on the official CACREP Web site in summer of 2013. Due to the small size of this population, the entire population was sampled to provide the best approximation of the population’s true characteristics (Gay, Mills, & Airasian, 2009). Recruitment of participants was conducted via an e-mail to each program contact inviting them to participate in the study and including a link to an online survey. The sample size decreased due to invalid e-mail addresses, which resulted in the final sample of 261 CACREP-accredited program contacts. A total of 86 participants completed the survey; however, respondents with missing or invalid data (n = 3, less than 2%) were eliminated via listwise deletion, leaving a total number of 83 participants included in this study. Although there are multiple options for dealing with missing data, listwise deletion was used by eliminating participants with missing data on any of the variables in this study (Sterner, 2011). This resulted in a final response rate of 32%, which falls within the acceptable 30% response rate for online surveys (University of Texas at Austin, Division of Instructional Innovation and Assessment, 2011). Of the 86 program contacts who provided usable data, 29 indicated their programs were in the South, 28 defined their program being in the Northeast, 17 stated their program was in the Midwest, and 9 indicated that their program was in the West. The majority of the participants reported that their programs offered degrees in both the clinical mental health/community track (84%) and the school track (83%). Further, 17% offered the marriage, couple, and family track, 13% offered the student affairs/college track, 6% had the addiction track, and 4% reported offering the career track to students. Table 1 provides a breakdown of specialty track programs offered by participants.
The survey for the current study was designed based on the Criminal Background Check Survey developed by Erwin and Toomey (2005) related to admissions and CACREP-accredited programs performing CBCs. The 13 questions from the original Erwin and Toomey survey were used as a foundation for 30 questions that were created for the online survey utilized to gain information from CACREP-accredited program contacts. Participants were asked to identify if their programs required CBCs as part of admission to their program. Participants who responded in the affirmative then responded to six multiple choice items related to which specialty tracks required a CBC, type of CBC, who performs and pays for the CBC, how applicants are notified that the CBC is required, and whether the programs have established procedures for deciding non-admission based upon the results of the CBC. Further, two qualitative questions provided an opportunity to learn how CBC information is obtained and used.
Next, participants were asked to identify if their programs required CBCs of current students. Participants who responded in the affirmative then responded to seven multiple choice items related to which specialty tracks required the CBC, type of CBC, who performs and pays for the CBC, how applicants are notified that a CBC is required, at what time in the program CBCs are performed, and whether the programs have established procedures based upon the results of the CBC. Further, two qualitative questions requested information about how CBC information is used and protocols for removal of students. The final part of the survey consisted of 11 questions regarding ethical and legal issues (i.e., CBC required for certification, licensure, or employment as a professional counselor, privacy issues, client welfare, legal consequences of performing CBC, CACREP-standards, potential for screening out minority applicants and students). This section contained five multiple choice questions and six questions based on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree).
To establish content validity and reliability, a pilot study of the survey was completed. The pilot study included two former CACREP-accredited program contacts who were asked to look for clarity and conciseness of the survey questions and provide feedback and suggestions for improvement. Based upon the responses of the pilot participants, the survey was edited to provide a more conducive and efficient design.
Data Analysis
The Statistical Package for Social Sciences (SPSS) software (version 21) was utilized to screen and analyze the data. The participants’ responses to the survey questions were subjected to both descriptive and correlational analyses. First, a descriptive analysis of multiple choice responses was conducted to produce a set of summary statistics related to each of the seven research questions. Next, a Fisher’s Exact Test (a variant of a chi-square test for independence for small sample sizes) with an alpha level of .05 was used to determine if there was an association between the region of the country where participants’ programs were located and whether CBCs are required for applicants or current students.
Results
Applicants and Criminal Background Checks
Regarding the first research question, of the 83 participants, 27.7% (n = 23) reported that their programs required applicants to undertake CBCs. Table 1 provides a breakdown of the specialty track that program contacts specified as requiring applicants to undergo CBCs. The Fisher’s Exact Test to determine an association between location of program and requiring applicants to have a CBC was found to be not significant (p = .426).
Table 1
Number and Percentages by Specialty Track and Criminal Background Required
Specialty Track Offered
by Program Criminal Background Required for Program Admission Criminal Background Required for Current Students in Program
Yes No Yes No Yes No
n % N % N % N % n % n %
Clinical Mental Health/
Community 70 84.3 13 15.7 16 22.9 54 77.1 26 37.1 44 62.9
School 69 83.1 14 16.9 15 21.7 54 78.3 33 47.8 36 52.2
Marriage, Couple, Family 14 16.9 69 83.1 2 14.3 12 85.7 9 64.3 5 35.7
Student Affairs/College 11 13.3 72 86.7 3 27.3 8 72.7 5 45.5 6 54.5
Addiction 5 6.0 78 94.0 1 4.5 4 95.5 1 4.5 4 95.5
Career 3 3.6 80 96.4 0 0.0 3 100 0 0.0 3 100
Procedures for applicants. Table 2 provides a breakdown of the type of CBCs performed, who performs the applicants’ CBCs, and who paid for the applicants’ CBCs. All programs that required
CBCs informed students of the CBC through at least one avenue: 45% (n = 10) reported notice was given only via the program’s Web site; 18% (n = 4) said they gave notice via program Web site, verbal discussion (i.e., interview), and written correspondence (i.e., e-mail, letter, handbook); 14% (n = 3) stated they gave notice by written correspondence only; 9% (n = 2) gave notice by verbal discussion only; 9% (n = 2) gave notice by both program Web site and written correspondence; and 5% (n = 1) gave notice via both verbal and written notification. An open-ended format was used to learn about how programs use information from the applicants’ CBCs. Thirty-five percent (n = 8) of the participants shared that they used results in different ways depending on if there was a criminal offense, the level of offense, and the date of offense. One participant reported their program uses the results to determine fit for their program and the counseling profession:
The nature of the crime and the time that has passed since then, and the applicant’s explanation (is it sincere, logical, etc.) will help faculty determine if the person will be considered or not. Also, we think about whether or not this person is likely to get certified as a school counselor or licensed as an LPC, or will be able to obtain liability insurance is all considered.
Established protocols for applicants. Regarding research question three, 59% (n = 13) of the 23 CACREP-accredited programs who reported requiring applicants to undergo CBCs had established procedures for deciding about the non-admission of an applicant in their program based on the CBC results. Twenty-three percent (n = 5) provided that their program had not established procedures and 18% (n = 4) reported that they did not know if their program had a recognized policy. Thirty-nine percent (n = 9) of the participants shared that they used professional standards for deciding about the non-admission of an applicant. One participant described, “We would not accept an applicant who had a background inconsistent with our discipline, and we would not accept an applicant who would not be able to obtain a license.”
Table 2
Number and Percentages by CBC Procedures and Applicants and Current Students
Applicants Current Students
n % n %
Type of CBC Performed
Local (i.e., city, county), state, and federal 10 45 14 37
State 3 14 5 14
Federal 3 14 6 16
State and federal 1 4 3 8
Cities of residency over last 7 years and sex offender data base 2 9 0 0
Did not know 3 14 6 16
Who Performed CBC
Outside private independent agency 8 36 7 19
Program’s university/college 7 32 6 16
Government agency 6 27 19 52
Multiple entities (i.e., state, federal,
private agency) 0 0 2 5
Did not know 1 4 3 8
Who Paid for CBC
Separate fee to applicant/student 17 77 33 89
Applicant paid as part of their
application fee 2 9 0 0
University/college paid 2 9 2 5
No charge, university police
department conducts 0 0 1 3
Did not know 1 4 1 3
Current Students and Criminal Background Checks
Regarding research question four, of the 83 participants, 45% (n = 37) reported that their programs
required current students to undertake CBCs. Table 1 provides a breakdown of the specialty track(s) that program contacts reported requiring students to undergo CBCs. The Fisher’s Exact Tests to determine an association between location of program and requiring applicants to have a CBC was found to be not significant (p = .500).
Procedures for current students. Table 2 provides a breakdown of the type of CBCs performed, who performs the current students’ CBCs, and who paid for the students’ CBCs. Further, two participants (5%) defined specific CBCs for certain specialty tracks: (a) state for all tracks plus federal for school students (3%, n = 1); and (b), state for college and marriage and family tracks, and state and federal for school students (3%, n = 1).
When asked when students’ CBCs are conducted, 35% (n = 13) reported it was before students are enrolled in internship, 27% (n = 10) reported during students’ first year, 19% (n = 7) reported before practicum, 8% (n = 3) reported before practicum and renewed for internship if the initial clearance was more than one year old, 5% (n = 2) reported during students’ second year, 3% (n = 1) reported at admission and then every two years after that, and 3% (n = 1) reported that CBCs are done every semester a student is enrolled in prepracticum, practicum, and internship. Participants reported various ways of letting students know that CBCs are a part of the program requirement. Twenty-seven percent (n = 10) reported that notice is given via the program’s handbook; 24% (n = 9) give it through orientation (i.e., new student, clinical), written correspondence (i.e., e-mail, letter), handbooks (i.e., program, clinical), and program Web site; 19% (n = 7) give it only through a verbal discussion (i.e., orientation, interview); 14% (n = 5) by give it by program’s Web site only; 11% (n = 4) through multiple methods of orientation (i.e., new student, clinical), written correspondence (i.e., e-mail, letter), handbooks (i.e., program, clinical), program Web sites and written correspondence; and 5% (n = 2) only via written correspondence (i.e., e-mail, letter, application).
Established protocols for current students. Sixty-eight percent (n = 25) of the 37 CACREP-accredited programs who reported requiring students to undergo CBCs had established protocols for deciding what action to take toward a student based on the CBC results. Twenty-seven percent
(n = 10) provided that their program had not established a procedure and 5% (n = 2) reported that they did not know if their program had a recognized policy. Although 25 participants reported that their programs had established procedures, a few responses suggested processes might be informal. For example, one participant stated, “Nothing formal. We hold informal conversations amongst faculty.”
Legal and Ethical Obligations
The following information was collected to answer the final research question. Of the 83 participants, the majority (64%, n = 53) reported that licensure or certification was dependent upon a successful CBC for students who graduate from their programs. Twenty percent (n = 17) of the respondents indicated that passing a CBC was not necessary for licensure or certification, leaving 16% (n = 13) who did not know if licensure or certification was contingent on having a successful CBC. The majority (89%, n = 74) believed that it was the program’s obligation to notify students that CBCs can be required as part of certification, licensure or employment as a professional counselor; however 5% (n = 4) believed it was not the program’s responsibility and 6% (n = 5) provided they did not know. Eighty-seven percent (n = 72) reported that their programs notified students that a CBC may be required to obtain certification, licensure or employment, leaving 13% (n = 11) of the programs saying they did not notify their students. When program contacts (n = 72) were asked how students are notified of this, 34% (n = 25) stated during orientation, 25% (n = 18) provided this information during the application process, 14% (n = 10) reported the information is continually given throughout the program (i.e., admission, orientations, before field placements), 10% (n = 7) stated the information was shared sometime during the first year of the program, 3% (n = 2) provided the information during field placement orientation for practicum and internship, 3% (n = 2) indicated information is given via student handbook, and 7% (n = 5) provided information was given via other means (i.e., during field placement discussions, when students apply for licensure due to licensure requirements varying by state).
When program contacts were asked if they believed it is ethical for their programs to perform CBCs on applicants or students, 41% (n = 34) believed it was ethical to perform CBCs on applicants and students, 29% (n = 24) felt it was not ethical for applicants or students, 19% (n = 16) responded it was ethical only for current students, and 4% (n = 2) said it was ethical only for applicants. Eight percent (n = 7) responded to this question by providing an alternate response.
All participants’ (n = 83) responses for strongly agree and agree were combined to report the subsequent findings. Sixty-six percent (n = 55) believed that counseling programs’ use of CBCs on applicants and students is important to ensure future clients’ welfare and safety. When asked if counseling programs completing CBCs on applicants and students violate the privacy rights of applicants and students, 17% (n = 14) either agreed or strongly agreed that it did not. Thirty-six percent (n = 30) believed that counseling programs can face legal consequences if CBCs are not conducted on applicants or students. Further, 24% (n = 20) responded that they believed that counseling programs can face legal consequences by performing CBCs on applicants or students. Thirty-three percent (n = 27) believed that there should be a CACREP standard regarding CBCs of applicants and students to ensure consistency and provide an established protocol. When asked if performing CBCs on applicants and students will result in a disproportionate screening-out of minority applicants and students, only 14% (n = 12) believed it would.
Discussion
There were two primary aims of this study: (1) to assess the current use of CBCs by CACREP-accredited master’s counseling programs and (2) to offer current information for programs to reference when considering the use of CBCs and creating relevant policies. Within the field of counseling, few studies have explored the use of CBCs and related policies (Erwin & Toomey, 2005; Swank & Smith-Adcock, 2014). As aforementioned, Erwin and Toomey conducted a study in 2005 with only 50 programs that responded. Additionally, only five of the programs that responded used CBCs, which limited the utility of their findings. Swank and Smith-Adcock (2014) surveyed counselor educators about the effectiveness of their current screening procedures for applicants. Their participants reported wanting to use more reliable and objective methods such as background checks, but were unsure how to do so with minimal guidance in the literature.
In the present study, 27.7% (n = 23) of respondents reported requiring applicants to undertake CBCs. Although this may seem like a small portion of the sample, it still offers the field knowledge that can augment findings by Erwin and Toomey (2005). This result is not surprising given that there are so few guidelines for programs to use when considering CBCs as a screening and gatekeeping tool. The use of CBCs also remains underdeveloped in other fields such as nursing, medicine and sports science (Farnsworth & Springer, 2006; Kleshinski et al., 2011; Weuve et al., 2008). In fact, Farnsworth and Springer (2006) reported that fewer than 50% of the medical programs they surveyed reported using CBCs. They found this extremely concerning as the field of nursing requires all graduates to pass a CBC in order to become licensed. This is a related issue for those wanting to become a licensed mental health counselor as 17 states report requiring an applicant to pass a CBC in order to become licensed. All the states that do not require CBCs ask for the applicant to describe any criminal offenses on their application and provide further documentation when necessary.
Although 41% of the participants surveyed in the present study reported the use of CBCs as ethical, this finding did not correspond with actual use of CBCs (26.5%). One factor may be related to fear of potential liability when using CBCs. In a study conducted by Swank and Smith-Adcock (2014), participants, who are educators, stated that they would like to use background checks, but they felt hesitant due to the litigation that can come with such methods. These fears may be exacerbated by the fact that the use of CBCs is not universal across university programs and there may be little knowledge about how to seek out university lawyers when developing these requirements. At this time, most university guidelines around CBCs focus on use with employees (Swank & Smith-Adcock, 2014). Weuve et al. (2008) described that lack of guidance and misuse of results continues to keep graduate programs from using CBCs. In the present study, only 13 of the 23 programs who reported using CBCs had an established procedure for how to use the results. Ultimately, since few resources are available to assist in these decision-making processes, it would be important for programs to seek university counsel. For example, it would be important to seek legal counsel when deciding how requirements and standards should read on program Web sites, how to use the results, and how to inform students about the use of the CBC results.
It also is important to consider other related liability issues such as faculty subjectivity. Previous research indicated faculty subjectivity may interfere with gatekeeping fidelity (Brear & Dorrian, 2010). In the current study, only 13 participants reported their program had an established procedure for deciding about the non-admission of applicants based on CBC results. When procedures are not in place, there may be a greater potential for phenomena such as the empathy veil effect, leniency effect or likability effect. Such phenomena may prompt some faculty to look the other way if not held accountable to exercise a specific policy.
This research also has implications for counseling students. Given that not all programs execute CBCs, students may not understand the consequences of their legal violations until seeking licensure. Currently, 17 state licensing boards require CBCs and all states ask applicants to attest to criminal violations (ACA, 2010). There is potential for a student to get through his or her training program and be ineligible for licensure due to their criminal background. A need exists to consider how CBCs may be used to help students gatekeep themselves and be more conscious of barriers that may ultimately interfere with their professional goals.
Limitations and Areas for Future Research
This study has five basic limitations. First, the sample was obtained from program contacts of CACREP-accredited master’s counselor education programs. This approach omitted programs that were not CACREP-accredited. Therefore, generalizability of the results is limited to CACREP-accredited programs. Further, this study did not delineate whether the programs were housed in private or public institutions. Future research focused on investigating all professional counseling programs would be beneficial. The third limitation is that volunteers may have answered the survey questions differently than those members of the population who did not agree to participate (70%). The fourth limitation is associated with the survey being a self-report measure; some participants may have provided responses considered to be socially desirable. Even though the participants were informed in advance that their responses would be kept anonymous, they may have responded in a manner that was not representative of their true feelings or knowledge. The final limitation is related to instrumentation. The findings could have been expanded upon by including questions on the survey about consequences programs have experienced when using or not using CBCs. For example, have any programs been sued for using or not using CBCs?
Given the minimal amount of research in this area, there are multiple directions for future research. One suggestion is to qualitatively explore programs that have used CBCs for several years to get a more thorough understanding of how their processes have evolved. This may help programs understand the elements to consider when using CBCs as part of the screening and gatekeeping processes. It also may support programs in understanding how to protect themselves from liability concerns related to using CBCs. Another future study may involve surveying doctoral-level counseling programs to examine differences across training levels. Further research could examine student perspectives of the use of CBCs. It might be possible that students would welcome the use of CBCs at the program level so they are aware of legal standards at the start of pursuing a professional counselor license.
Conclusion
Since screening and gatekeeping is such an important role of a training program, the use of CBCs is an important topic for counselor education. The use of CBCs may assist counselor educators in executing their ethics related to not endorsing CITs they believe to be unqualified (ACA, 2014). The consequences of graduating a student with a criminal history could be great and ultimately put future clients at risk for harm. Perhaps CACREP could assist programs in understanding if and how to use CBCs by adding ideas for best practices in their accreditation standards. Previous literature has indicated that the field of counseling may benefit from creating more formalized screening procedures that include objective and reliable measures (Swank & Smith-Adcock, 2014). The current study offers support that programs are using CBCs as a part of the admission process and to continually evaluate their students. Given this is a trend, it may be important to establish best practices and policies around CBCs so that programs are using them in consistent ways.
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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Maribeth F. Jorgensen, NCC, is an Assistant Professor at the University of South Dakota. Kathleen Brown-Rice, NCC, is an Assistant Professor at the University of South Dakota. Correspondence can be addressed to Maribeth Jorgensen, 414 East Clark Street, Vermillion, SD 57069, maribeth.jorgensen@usd.edu.
Sep 16, 2016 | Article, Volume 6 - Issue 3
Christopher A. Sink
With the advent of a multi-tiered system of supports (MTSS) in schools, counselor preparation programs are once again challenged to further extend the education and training of pre-service and in-service school counselors. To introduce and contextualize this special issue, an MTSS’s intent and foci, as well as its theoretical and research underpinnings, are elucidated. Next, this article aligns MTSS with current professional school counselor standards of the American School Counselor Association’s (ASCA) School Counselor Competencies, the 2016 Council for Accreditation of Counseling and Related Educational Programs (CACREP) Standards for School Counselors and the ASCA National Model. Using Positive Behavioral Interventions and Supports (PBIS) and Response to Intervention (RTI) models as exemplars, recommendations for integrating MTSS into school counselor preparation curriculum and pedagogy are discussed.
Keywords:multi-tiered system of supports, school counselor, counselor education, American School Counselor Association, Positive Behavioral Interventions and Supports, Response to Intervention
When new educational models are introduced into the school system that affect school counseling practice, the training of pre-service and in-service school counselors needs to be updated. A multi-tiered system of supports (MTSS) is one such innovation requiring school counselors to further refine their skill set. In fact, during the school counseling profession’s relatively short history, counselors have experienced several major shifts in foci and best practices (Gysbers & Henderson, 2012). The latest movement surfaced in the 1980s, when school counselors were encouraged to revisit their largely reactive, inefficient and ineffective practices. Specifically, rather than supporting a relatively small proportion of students with their vocational, educational and personal-social goals and concerns, pre-service and in-school practitioners, under the aegis of a comprehensive school counseling program (CSCP) orientation, were called to operate in a more proactive and preventative fashion.
Although there are complementary frameworks to choose from, the American School Counselor Association’s (ASCA; 2012a) National Model: A Framework for School Counseling Programs emerged as the standard for professional practice, offering K–12 counselors an operational scaffold to guide their activities, interventions and services. Preliminary survey research suggests that counselors are performing their duties in a more systemic and collaborative fashion to more effectively serve students and their families (Goodman-Scott, 2013, 2015). Other rigorous accountability research examining the efficacy of CSCP practices supports this transformation of counselors’ roles and functions (Martin & Carey, 2014; Sink, Cooney, & Adkins, in press; Wilkerson, Pérusse, & Hughes, 2013). As a consequence of the increased demand for retraining, university-level counselor preparation programs and professional counseling organizations (e.g., American Counseling Association, ASCA, National Board for Certified Counselors) have generally responded in kind. Over the last few decades, K–12 school counselors have been instructed to move from a positional approach to their professional work to one that is programmatic and systemic in nature.
As mentioned above, the implementation of MTSS (e.g., Positive Behavioral Supports and Responses [PBIS] and Response to Intervention [RTI] frameworks) in the nation’s schools requires in-service counselors to augment their collaboration and coordination skills (Shepard, Shahidullah, & Carlson, 2013). Essentially, MTSS programs are evidence-based, holistic, and systemic approaches to improve student learning and social-emotional-behavioral functioning. They are largely implemented in educational settings using three tiers or levels of intervention. In theory, all educators are involved at differing levels of intensity. For example, classroom teachers and teacher aides are the first line (Tier 1) of support for struggling students. As the need might arise, other more “specialized” staff (e.g., school psychologists, special education teachers, school counselors, addictions counselors) may be enlisted to provide additional and more targeted student interventions and support (Tiers 2 or 3). Even though ASCA (2014) released a position statement broadly addressing school counselors’ roles and functions within MTSS schools, research is equivocal as to whether these practitioners are implementing these directives with any depth and fidelity (Goodman-Scott, 2015; Goodman-Scott, Betters-Bubon, & Donahue, 2016; Ockerman, Mason, & Hollenbeck, 2012; Ockerman, Patrikakou, & Feiker Hollenbeck, 2015). Moreover, school counselor effectiveness with MTSS-related responsibilities is an open question.
To sufficiently answer these accountability questions, there is a pressing need for university preparation programs to better educate nascent school counselors on MTSS, particularly on the fundamentals and effective ways PBIS and RTI can be accommodated within the purposes and practices of CSCPs (Goodman-Scott et al., 2016). While educational resources and research are plentiful, they are chiefly aimed at pre-service and in-service teachers and support staff working closely with special education students, such as school psychologists (Forman & Crystal, 2015; Owen, 2012; Turnbull, Bohanon, Griggs, Wickham, & Salior, 2002). Albeit informative, nearly all school counselor MTSS research and application publications are focused on in-service practitioners (ASCA, 2014; de Barona & Barona, 2006; Donohue, 2014; Goodman-Scott, 2013; Martens & Andreen, 2013; Ockerman et al., 2012; Ryan, Kaffenberger, & Carroll, 2011; Shepard et al., 2013; Zambrano, Castro-Villarreal, & Sullivan, 2012). With perhaps the exception of Goodman-Scott et al. (2016), who provided a useful alignment of the ASCA National Model (2012a) with PBIS practices, there are few evidence-based resources for school counselor educators to draw upon in order to rework their pre-service courses to include MTSS curriculum and instruction. To successfully prepare counselors to work within PBIS or RTI schools, students must understand the ways MTSS foci are aligned with professional counseling standards for practice. Such a document is noticeably absent from the literature.
The primary intent of this article is to offer school counselor educators functional and literature-based recommendations to enhance their MTSS training of pre-service counselors. To do so, MTSS programs are first contextualized by summarizing their major foci, operationalization, theoretical underpinnings and research support. Next, the objectives of MTSS models are aligned with the ASCA (2012b) School Counselor Competencies and the 2016 CACREP Standards for School Counselors. Finally, using PBIS and RTI models as exemplars, recommendations for school counselor preparation curriculum and pedagogy are offered.
Foundational Considerations
Since MTSS programs are extensively described in numerous publications (e.g., Bradley, Danielson, & Doolittle, 2007; Carter & Van Norman, 2010; Forman & Crystal, 2015; R. Freeman, Miller, & Newcomer, 2015; Fuchs & Fuchs, 2006; Horner, Sugai, & Lewis, 2015; McIntosh, Filter, Bennett, Ryan, & Sugai, 2010; Sandomierski, Kincaid, & Algozzine, 2007; Sugai & Simonsen, 2012), including articles in this special issue, there is little need to reiterate the details here. However, for those school counselor educators and practitioners who are less conversant with MTSS’s theoretical grounding, research evidence and operational characteristics supporting implementation, these topics are overviewed.
MTSS programs by definition are comprehensive and schoolwide in design, accentuating the importance of graduated levels of student support. In other words, the amount of instructional and behavioral support gradually increases as the student’s assessed needs become more serious. Although the most prominent and well-researched MTSS approaches, PBIS and RTI, are considered disparate frameworks to address student deficits (Schulte, 2016), the extent of their overlap in theoretical principles, foci, processes and practices allows for an abbreviated synthesis (R. Freeman, et al., 2015; Sandomierski et al., 2007; Stoiber & Gettinger, 2016).
Initially, RTI and PBIS programming and services emerged from special education literature and best practices. Over time these evidence-based approaches extended their reach, and the entire student population is now served. Specifically, PBIS aims to increase students’ prosocial behaviors and decrease their problem behaviors as well as promote positive and safe school climates, benefitting all learners (Bradley et al., 2007; Carter & Van Norman, 2010; Klingner & Edwards, 2006). Although RTI programs also address students’ behavioral issues, they largely focus on improving the academic development and performance of all children and youth through high-quality instruction (Turse & Albrecht, 2015; Warren & Robinson, 2015). RTI staff are particularly concerned with those students who are academically underperforming (Greenwood et al., 2011; Johnsen, Parker, & Farah, 2015; Ockerman et al., 2015; Sprague et al., 2013). Curiously, the potential roles and functions of school counselors within these programs were not delineated until many years after they were first introduced (Warren & Robinson, 2015). Even at this juncture, often cited MTSS publications neglect discussing school counselors’ contributions to full and effective implementation (Carter & Van Norman, 2010). Instead they frequently refer to behavior specialists as key members of the MTSS team (Horner, Sugai, & Anderson, 2010).
MTSS Theory and Research
PBIS and RTI model authors and scholars consistently implicate a range of conceptual orientations, including behaviorism, organizational behavior management, scientific problem-solving, systems thinking and implementation science (Eber, Weist, & Barrett, n.d.; Forman & Crystal, 2015; Horner et al., 2010; Kozleski & Huber, 2010; Sugai & Simonsen, 2012; Sugai et al., 2000; Turnbull et al., 2002). It appears, however, that behavioral principles and systems theory are most often credited as MTSS cornerstones (Reschly & Cooloong-Chaffin, 2016). Since PBIS and RTI are essentially special education frameworks, it is not surprising that behaviorist constructs and applications (e.g., reinforcement, applied experimental behavior analysis, behavior management and planning, progress monitoring) are regularly cited (Stoiber & Gettinger, 2016). Furthermore, MTSS frameworks are in concept and practice system-wide structures (i.e., student-centered services, processes and procedures that are instituted across a school or district), and as such, holistic terminology consistent with Bronfrenbrenner’s bioecological systems theory and other related systems orientations (e.g., Bertalanffy general systems theory and Henggeler and colleagues’ multi-systemic treatment approach) are commonly cited (see Reschly & Cooloong-Chaffin, 2016, and Shepard et al., 2013, for examples of extensive discussions).
MTSS research largely demonstrates the efficacy of PBIS and RTI models. For instance, Horner et al. (2015) conducted an extensive analysis of numerous K–12 PBIS studies, concluding that this systems approach is evidence-based. Other related literature reviews indicated that PBIS frameworks are at least modestly serviceable in preschools (Carter & Van Norman, 2010), K–12 schools (Horner et al., 2010; Molloy, Moore, Trail, Van Epps, & Hopfer, 2013), and juvenile justice settings (Jolivette & Nelson, 2010; Sprague et al., 2013). Across most studies, PBIS programming yields weak to moderately positive outcomes for PK–12 students from diverse backgrounds (e.g., African American and Latino) and varying social and academic skill levels (Childs, Kincaid, George, & Gage, 2015; J. Freeman et al., 2015, 2016). Similarly, evaluations of RTI interventions are promising for underachieving learners (Bradley et al., 2007; Fuchs & Fuchs, 2006; Greenwood et al., 2011; Proctor, Graves, & Esch, 2012; Ryan et al., 2011). Students tend to especially benefit from Tier 2 and 3 interventions. In their entirety, PBIS and RTI models are modestly successful frameworks to identify students at risk for school-related problems and ameliorate social-behavioral and academic deficiencies. It should be noted, however, that the long-term impact of MTSS on students’ social-emotional outcomes remains equivocal (Saeki et al., 2011). As mentioned previously, there is a paucity of evidence demonstrating that school counselors indirectly or directly contribute to positive MTSS outcomes. As with any relatively new educational innovation, research is needed to further clarify the specific impacts of MTSS on student, family, classroom and school outcome variables. The next section summarizes the ways MTSS frameworks are viewed and instituted in school settings.
Operational Features
For school counselors to be effective MTSS leaders and educational partners, they must understand the conceptual underpinnings and operational components and functions of PBIS and RTI frameworks. Given the introductory nature of this article, we limit our discussion to essential characteristics of these frameworks. Extensive practical explanations of MTSS models abound in the education (R. Freeman et al. 2015; Preston, Wood, & Stecker, 2016; Turse & Albrecht 2015) and school counseling literature (Goodman-Scott et al., 2016; Ockerman et al., 2012, 2015). To reiterate, MTSS frameworks are designed to be systems or ecological approaches to assisting students with their educational development and improving academic and behavioral outcomes. As described below, they attempt to serve all students through graduated layers of more intensive interventions. School counselors deliver, for example, evidence-based services to students, ranging from classroom and large group interventions to those provided to individual students in the counseling office (Forman & Crystal, 2015). By utilizing systematic problem-solving strategies and behavioral analysis tools to guide effective practice (Sandomierski et al., 2007), students who are most at risk for school failure and behavioral challenges are provided with more individualized interventions (Horner et al., 2015).
Practically speaking, MTSS processes and procedures vary from school to school, district to district. To understand how these frameworks are operationalized, there are numerous online school-based case studies to review. For instance, at the PBIS.org Web site, Ross (n.d.), the principal at McNabb Elementary (KY), overviewed the ways a PBIS framework was effectively implemented at his school. Most importantly, the reach of PBIS programming was expanded to all students, requiring a higher level of educator collaboration and “buy in.” Other pivotal changes were made, including (a) faculty and staff visits to students’ homes (i.e., making closer “positive connections”); (b) the implementation of summer programs for student behavioral and academic skill enrichment; (c) additional school community engagement activities (e.g., movie nights, Black History Month Extravaganza); and, (d) further PBIS training to improve school discipline and classroom management strategies. Other MTSS schools stress the importance of carefully identifying students in need of supplemental services and interventions using research-based assessment procedures (e.g., functional behavioral analysis or functional behavioral assessment [FBA]). Most schools emphasize these key elements to successful schoolwide PBIS implementation: (a) data-based decision making, (b) a clear and measurable set of behavioral expectations for students, (c) ongoing instruction on behavioral expectations, and (d) consistent reinforcement of appropriate behavior (PBIS.org, 2016).
Furthermore, MTSS frameworks, such as PBIS and RTI, have two main functions. First, they offer an array of activities and services (prevention- and intervention-oriented) that are systematically introduced to students based on an established level of need. Second, educators carefully consider the learning milieu, particularly as it may influence the development and improvement of student behavior (social and emotional learning [SEL] and academic performances). MTSS staff must be well educated on the signs of student distress, including those indicators that suggest students are at risk for school-related difficulties (e.g., below grade level academic achievement, social and emotional challenges, mental health disorders, long-term school failure). Moreover, educators should be provided appropriate training on various assessment tools to determine which set of students require more intensive care.
Within a triadic support system, all students (Tier 1: primary or universal prevention) are at least monitored and assisted by classroom staff. Teachers are encouraged to document student progress (or lack thereof) toward academic and behavioral goals. At the first level, school counselors partner with other building educators to conduct classroom activities and guidance to promote academic success, SEL (e.g., prosocial behaviors), and appropriate school behavior (Donohue, 2014). Counselors also may assist with setting behavioral expectations for students, suggest differentiated instruction for academic issues, collect data for program decision making, and conduct universal screening of students in need of additional behavior support (Horner et al., 2015). In short, the aim of Tier 1 is to (a) support all student learning and (b) proactively recognize individuals displaying the warning signs of learning or social and behavioral challenges.
Once the signals of educational or behavioral distress become more pronounced, relevant staff may initiate a formal MTSS process. For example, in many states and school districts, within the context of an MTSS, the struggling learner becomes a “focus of concern” and a multidisciplinary or school support team is convened (Kansas MTSS, 2011). Panel members are generally comprised of the school psychologist, administrator, counselor and relevant teachers. Counselors may be asked to collaborate with other educators to appraise the student’s learning environments. If potential hindrances are detected, these must be sufficiently attended to before further educational intervention is provided. Once the determination is made that the “targeted” learner received high-quality academic and behavioral instruction, and yet continues to exhibit deficiencies, the student is considered for Tier 2 services (Horner et al., 2015). School counselor tasks at this level may include providing evidence-based classroom interventions, short-term individual or group counseling, progress monitoring and regular school–home communication. Other sample interventions might involve the application of a behavior modification plan, the assignment of a peer mentor and tutoring system, and the utilization of “Check and Connect” (Maynard, Kjellstrand, & Thompson, 2013) or Student Success Skills (Lemberger, Selig, Bowers & Rogers, 2015) programs.
In most cases, identified students make at least modest progress at Tier 2 and do not require tertiary intervention. Even so, a small percentage of students receive Tier 3 services involving, for example, a comprehensive FBA, additional linking of academic and behavioral supports, and more specialized attention (Horner et al., 2015). School counselor support at this level commonly incorporates and extends beyond Tier 2 services. Ongoing consultation with and referrals to community-based professionals (e.g., learning experts, marriage and family counselors, child psychiatrists, and clinical psychologists) and out- or in-patient treatment facilities may be necessary.
In summary, the essential focus of collaborative MTSS programming is to improve student performance by first carefully assessing student strengths and weaknesses. Once these characteristics are identified, the MTSS team, with input from the school counseling staff, develops learning outcomes and, as required, may institute whole-school, classroom, or individual activities and services to best address lingering student deficiencies. As such, counselors should be significant partners with other appropriate staff to deliver the needed assistance and support (e.g., assign a peer mentor, provide individual or group counseling, institute a behavior management plan) to address students’ underdeveloped academic or social-emotional and behavioral skills. To close the MTSS loop, follow-up assessment of student progress toward designated learning and behavioral targets is regularly conducted by teachers with assistance from counselors and other related specialists. Based on the evaluation results, further interventions may be prescribed. School counselors therefore contribute essential MTSS services at each tier, promoting through their classroom work, group counseling and individualized services a higher level of student functioning. Regrettably, anecdotal evidence and survey research suggest that many are ill-equipped to conduct the requisite prevention and intervention activities (Ockerman et al., 2015). The following sections attempt, in part, to rectify this situation.
Alignment of MTSS With Professional School Counselor Standards and Practice
Before considering the implications for pre-service school counselor preparation, school counselors and university-level counselor educators should benefit from understanding the ways in which MTSS school counselor-related roles and functions are consistent with the preponderance of the ASCA (2012b) School Counselor Competencies and CACREP (2016) School Counseling Standards. Because there are so few publications documenting school counselor roles and functions within MTSS frameworks, a standards crosswalk, or matrix, was developed to fill this need (see Table 1). It should be noted that the ASCA standards and CACREP competencies are largely consistent with the National Board for Professional Teaching Standards’ (National Board; 2012) School Counseling Standards for School Counselors of Students Ages 3–18+. As such, they were not included in the table.
Table 1
Crosswalk of Sample School Counselor MTSS Roles and Functions, ASCA (2012b) School Counselor Competencies, and CACREP (2016) School Counseling Standards
MTSS School Counselor Roles and Functions* |
ASCA School Counselor
Competencies
|
CACREP Section 5: Entry-Level Specialty Areas – School Counseling
|
I. School Counseling Programs
B: Abilities & Skills
|
1. Foundations 2. Contextual Dimensions
3. Practice
|
Shows strong school
leadership |
I-B-1c. Applies the school counseling themes of leadership, advocacy, collaboration and systemic change, which are critical to a successful school counseling program |
2.d. school counselor roles in school leadership and multidisciplinary teams |
|
I-B-2. Serves as a leader in the school and community to promote and support student success |
|
Collaborates and consults with relevant stakeholders |
I-B-4. Collaborates with parents, teachers, administrators, community leaders and other stakeholders to promote and support student success |
3.l. techniques to foster collaboration and teamwork within schools |
Collaborates as needed to provide integration of
services |
I-B-4b. Identifies and applies models of collaboration for effective use in a school counseling program and understands the similarities and differences between consultation, collaboration and counseling and coordination strategies |
1.d. models of school-based collaboration and consultation |
|
I-B-4d. Understands and knows how to apply a consensus-building process to foster agreement in a group |
Provides staff development related to positive
discipline, behavior and mental health |
I-B-4e. Understands how to facilitate group meetings to effectively and efficiently meet group goals |
Leads with systems change to provide safe school |
I-B-5. Acts as a systems change agent to create an environment promoting and supporting student success |
2.a. school counselor roles as leaders, advocates and systems change agents in PK–12 schools |
Intervention planning for SEL and academic skill
improvementProvides risk and threat
assessments |
I-B-5b. Develops a plan to deal with personal (emotional and cognitive) and institutional resistance impeding the change process |
2.g. characteristics, risk factors, and warning signs of students at risk for mental health and behavioral disorders;2.h. common medications that affect learning, behavior and mood in children and adolescents;2.i. signs and symptoms of substance abuse in children and adolescents as well as the signs and symptoms of living in a home where substance use occurs;3.h. skills to critically examine the connections between social, familial, emotional and behavior problems and academic achievement |
|
II. Foundations B: Abilities and Skills |
|
II-B-4. Applies the ethical standards and principles of the school counseling profession and adheres to the legal aspects of the role of the school counselor |
2.n. legal and ethical considerations specific to school counseling |
|
II-B-4c. Understands and practices in accordance with school district policy and local, state and federal statutory requirements |
2.m. legislation and government policy relevant to school counseling |
|
III. Management B: Abilities and Skills |
Effective collection, evaluation, interpretation and use of data to improve availability of services |
III-B-3. Accesses or collects relevant data, including process, perception and outcome data, to monitor and improve student behavior and achievement |
1.e. assessments specific to PK–12 education |
Assists with schoolwide data management for documentation and decision making |
III-B-3a. Reviews and disaggregates student achievement, attendance and behavior data to identify and implement interventions as needed |
Collects needs assessment data to better inform culturally relevant practices |
III-B-3b. Uses data to identify policies, practices and procedures leading to successes, systemic barriers and areas of weakness |
|
III-B-3c. Uses student data to demonstrate a need for systemic change in areas such as course enrollment patterns; equity and access; and achievement, opportunity and/or information gaps |
3.k. strategies to promote equity in student achievement and college access |
|
III-B-3d. Understands and uses data to establish goals and activities to close the achievement, opportunity and/or information gap |
|
III-B-3e. Knows how to use data to identify gaps between and among different groups of students |
Measures student progress of schoolwide interventions with pre/post testing |
III-B-3f. Uses school data to identify and assist individual students who do not perform at grade level and do not have opportunities and resources to be successful in school |
|
Promotes early intervention Designs and implements
interventions to meet the behavioral and mental health needs of students |
III-B-6a. Uses appropriate academic and behavioral data to develop school counseling core curriculum, small-group and closing-the-gap action plans and determines appropriate students for the target group or interventions |
3.c. core curriculum design, lesson plan development, classroom management strategies and differentiated instructional strategies |
|
III-B-6c. Creates lesson plans related to the school counseling core curriculum identifying what will be delivered, to whom it will be delivered, how it will be delivered and how student attainment of competencies will be evaluated |
Provides academic
interventions directly to students |
III-B-6d. Determines the intended impact on academics, attendance and behavior |
3.d. interventions to promote academic development |
|
III-B-6g. Identifies data collection strategies to gather process, perception and outcome data |
|
Coordinates efforts and ensures proper communication between MTSS staff, students and family members |
III-B-6h. Shares results of action plans with staff, parents and community |
|
|
III-B-7b. Coordinates activities that establish, maintain and enhance the school counseling program as well as other educational programs |
|
|
IV. Delivery B: Abilities and Skills |
|
Provides specialized
instructional support |
IV-B-1d. Develops materials and instructional strategies to meet student needs and school goals |
3.c. core curriculum design, lesson plan development, classroom management strategies and differentiated instructional strategies |
|
IV-B-1g. Understands multicultural and pluralistic trends when developing and choosing school counseling core curriculum |
|
IV-B-1h. Understands and is able to build effective, high-quality peer helper programs |
3.m. strategies for implementing and coordinating peer intervention programs |
Engages in case management to assist with social-emotional and academic concerns |
IV-B-2b. Develops strategies to implement individual student planning, such as strategies for appraisal, advisement, goal-setting, decision making, social skills, transition or post-secondary planning |
3.g. strategies to facilitate school and postsecondary transitions |
Understands social skills development |
IV-B-2g. Understands methods for helping students monitor and direct their own learning and personal/social and career development |
3.f. techniques of personal/social counseling in school settings |
Provides interventions at three levels |
IV-B-3. Provides responsive services |
|
IV-B-3c. Demonstrates an ability to provide counseling for students during times of transition, separation, heightened stress and critical change |
Coordinating with community service providers and integrating intensive interventions into the schooling process |
IV-B-4a. Understands how to make referrals to appropriate professionals when necessary |
2.k. community resources and referral sources |
Train/present information to school staff on data
collection and analysis |
IV-B-5a. Shares strategies that support student achievement with parents, teachers, other educators and community organizations |
2.b. school counselor roles in consultation with families, PK–12 and postsecondary school personnel, and community agencies |
Implements appropriate
interventions at each tier |
IV-B-5b. Applies appropriate counseling approaches to promoting change among consultees within a consultation approach |
|
|
V. Accountability B: Abilities and Skills |
Collects, analyzes, and interprets school-level data to improve availability and effectiveness of services and interventions Uses progress monitoring data to inform counseling interventions |
V-B-1g. Analyzes and interprets process, perception and outcome data |
3.n. use of accountability data to inform decision making3.o. use of data to advocate for programs and students |
Understands history, rationale, and benefits of MTSS |
|
|
Note. *Primary sources: ASCA (2012b, 2014); CACREP (2016); Cowan, Vaillancourt, Rossen, & Pollitt, (2013);
Ockerman et al. (2015).
The MTSS School Counselor Roles and Functions column was generated from several sources, including a recent study examining school counselors’ RTI perspectives (Ockerman et al., 2015), ASCA’s (2014) RTI position statement, and a lengthy school psychology publication that specifically addresses school counselor roles in creating safe MTSS schools (Cowan, Vaillancourt, Rossen, & Pollitt, 2013). Essentially, the crosswalk reveals that K–12 school counselor MTSS roles and functions correspond substantially with the ASCA (2012b) School Counselor Competencies and CACREP (2016) Standards. Similarly, MTSS school counselor tasks fit well within the broad and longstanding role categories traditionally associated with counseling services: (a) coordination of CSCP services, interventions and activities; (b) collaboration with school staff and other stakeholders; (c) provision of responsive services (e.g., individual and group counseling, classroom interventions, peer helper and support services, crisis intervention); (d) consultation within school constituencies and external resource personnel; and (e) classroom lessons (i.e., MTSS Tier 1 services; Burnham & Jackson, 2000; Goodman-Scott et al., 2016; Gysbers & Henderson, 2012; Schmidt, 2014; Sink, 2005). Since the ASCA (2012a) National Model also is a systemic and structural model aimed at whole-school prevention and intervention of student issues, school counselor MTSS roles (direct and indirect services) also align reasonably well with the model’s components (e.g., foundation, management, delivery and accountability; Goodman-Scott et al., 2016). In short, including MTSS into the pre-service training of school counselors is professionally defensible as well as best practice.
Implications for School Counselor Preparation
PBIS and RTI frameworks are now firmly established in a majority of U.S. schools. As documented above, research, particularly within the context of special education, largely demonstrates their positive impact on student academic achievement and SEL skill development, as well as on school climate (Horner et al., 2010, 2015; McDaniel, Albritton, & Roach, 2013). However, school counselors in the field report a lack of MTSS knowledge and their roles and functions within at least RTI schools are somewhat inconsistently and ambiguously defined (Ockerman et al., 2015). In some circumstances, school counselors’ MTSS duties may not fully complement their CSCP responsibilities (Goodman-Scott et al., 2016). Given these realities, many school counselor preparation programs need to be revised to effectively account for these limitations. To accomplish this end, the following literature-based action steps are offered. First, counselor educators should conduct a program audit, looking for MTSS curricular and instructional gaps in their school counseling preparation courses. Curriculum mapping (Jacobs, 1997) is a useful tool to recognize program content deficiencies (Howard, 2007). Essentially, the process involves
the identification of the content and skills taught in each course at each level. A calendar-based chart, or “map,” is created for each course so that it is easy to see not only what is taught in a course, but when it is taught. Examination of these maps can reveal both gaps in what is taught and repetition among courses, but its value lies in identifying areas for integration and concepts for spiraling. (Howard, 2007, p. 7)
Second, the various options for program revision should be weighed. The two most obvious alternatives are to either add a separate school counseling-based MTSS course or to augment existing courses and their content. Classes already focusing on topics associated with MTSS theory, research and practice (e.g., special education, at-risk children and adolescents, comprehensive school counseling, strengths-based counseling and advocacy) are perhaps the easiest to modify. Certainly, accreditation standards and requirements, funding implications, and logistical concerns must be considered.
Third, specific MTSS content and related skills should be reviewed and syllabi revised accordingly. To inform decision making and planning, Table 2 provides sample core MTSS content areas associated with school counselor roles and functions. Curriculum changes might involve strengthening these four broad areas: (a) assessment, data usage and research, (b) general knowledge and practices, (c) specific interventions, and (d) systems work. To alleviate potential redundancies in pre-service education, it is imperative that any proposed modifications be aligned with current CSCP training (e.g., ASCA’s [2012a] National Model; see Goodman-Scott et al., 2016 for details). Consult the crosswalk provided in Table 1 to ensure that any course changes are consonant with ASCA’s (2012b) School Counselor Competencies and CACREP (2016) standards.
Table 2
Core MTSS Content Areas Aligned With School Counselor Roles and Functions
Content Areas
|
Assessment, Data Usage and ResearchAcademic and SEL skill assessment and progress monitoringApplied experimental analysis of behavior/functional behavior analysis (FBA)Behavioral consultation assessmentEvidence-based (data-based) decision making and intervention planning (academic and social-behavioral issues)Research methods (e.g., survey, pre/posttest comparison, single subject designs)Student and classroom assessment/testingUse of student assessment and schoolwide data to improve MTSS services and interventions |
General Knowledge and PracticesBest practices in support of academic and social-behavioral developmentIntegration with comprehensive school counseling programs (e.g., ASCA National Model)Ethical and legal issuesEducational, developmental and psychological theories (e.g., behaviorism, social learning theory, ecological systems theory, cognitive, psychosocial, identity)Effective communicationStudents at risk and resiliency issues (i.e., knowledge of early warning signs of school and social-behavioral problems)Leadership and advocacyMental health issues and associated community servicesModels of consultation
Multicultural/diversity (student, family, school, community) and social justice issues
Referral
Special education (e.g., relevant policies, identification procedures, categories of disability) |
Specific InterventionsCheck and Connect (Check In, Check Out)Individualized positive behavior support (e.g., behavior change plans, individualized education plans)Peer mentoring/tutoringSchoolwide classroom guidance (academic and SEL skill related)Short-term goal-oriented individual and group counseling |
Systems WorkCollaboration and coordination of services with counseling staff, MTSS constituents, external resources and familiesConsultation with caregivers, educational staff and external resourcesStaff coaching/liaison work (e.g., conducting workshops and training events to improve conceptual knowledge and understanding as well as skill development)MTSS (PBIS & RTI) structure and components and associated practicesResource providers (in-school and out-of-school options)Policy development addressing improved school environments and barriers to learning for all studentsSystems/interdisciplinary collaboration and leadership within context of comprehensive school counseling programs |
Note. Primary sources: Cowan et al. (2013); Forman & Crystal (2015); R. Freeman et al. (2015); Gibbons & Coulter
(2016); Goodman-Scott et al. (2016); Horner et al. (2015); Ockerman et al. (2015); Reschly & Coolong-Chaffin (2016).
Finally, course syllabi need to be updated to integrate desired curricular changes and appropriate instructional techniques instituted. It is recommended that counselor educators design the MTSS course using a spiral curriculum (Bruner, 1960; Howard, 2007). This theory- and research-based strategy rearranges the course material curriculum and content in such a way that knowledge and skill development and content build upon each another while gradually increasing in complexity and depth. Research informed pedagogy suggests that MTSS course content be taught using a variety of methods, including direct instruction for learning foundational materials and student-centered approaches, such as case studies and problem-based learning (PBL), for the application component (Dumbrigue, Moxley, & Najor-Durack, 2013; Ramsden, 2003; Savery, 2006). Specifically, given that scientific (systematic problem-solving) and data-driven decision making are indispensable educator practices within MTSS frameworks, these skills should be nurtured through “hands on” and highly engaging didactic methods rather than relying on conventional college-level teaching strategies (e.g., recitation, questioning and lecture; Stanford University Center for Teaching and Learning, 2001). Specific activities could be readily implemented during practicum and internship. PBL invites students to tackle complex and authentic (real world) issues that promote understanding of content knowledge as well as interpretation, analytical reasoning, interpersonal communication and self-assessment skills (Amador, Miles, & Peters, 2006; Loyens, Jones, Mikkers, & van Gog, 2015). Problems can take the form of genuine case studies (e.g., a sixth-grader at risk for severe depression), encouraging pre-service counselors to reflect on issues they will face in MTSS schools. Succinctly stated, when developing a new course or refining existing courses to include MTSS elements, counselor educators are encouraged to use research-based methods of curriculum design and student-centered pedagogy.
Conclusion
School counselor roles and functions must be responsive to societal changes and educational reforms. These shifts require university-level counselor preparation programs to be adaptable and open to new practices. K–12 schools around the nation are committed to instituting MTSS (PBIS and RTI) to better educate all students as well as to reduce the number of learners at risk for academic and social and emotional problems. School counselors largely indicate that they require further training on these MTSS frameworks and best practice (Goodman-Scott et al., 2016; Ockerman et al., 2015). It is therefore incumbent upon counselor education programs to revise their curriculum and instruction to meet this growing need. This article provides a clear rationale for instituting pre-service program changes, as well as summarizes MTSS’s theoretical and research foundation. Literature-based recommendations for pre-service course and curricular modifications have been offered. Preparation courses are encouraged to align their MTSS curriculum and content with ASCA’s (2012b) and CACREP’s (2016) school counseling standards, and the role requirements of comprehensive school counseling programs. Subsequent research is needed to determine whether this added level of pre-service education support actually impacts school counselor MTSS competency perceptions, and more importantly, whether schoolchildren and youth are positively impacted by better trained professional school counselors.
Conflict of Interest and Funding Disclosure
The authors reported no conflict of interestor funding contributions for the development of this manuscript.
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Christopher A. Sink, NCC, is a Professor at Old Dominion University. Correspondence can be addressed to Christopher Sink, Darden College of Education, 5115 Hampton Blvd, Norfolk, VA 23529, csink@odu.edu.