A Case Study Exploring Supervisee Experiences in Social Justice Supervision

Clare Merlin-Knoblich, Jenna L. Taylor, Benjamin Newman

 

Social justice is a paramount concept in counseling and supervision, yet limited research exists examining this idea in practice. To fill this research gap, we conducted a qualitative case study exploring supervisee experiences in social justice supervision and identified three themes from the participants’ experiences: intersection of supervision experiences and external factors, feelings about social justice, and personal and professional growth. Two subthemes were also identified: increased understanding of privilege and increased understanding of clients. Given these findings, we present practical applications for supervisors to incorporate social justice into supervision.

Keywords: social justice, supervision, case study, personal growth, practical applications

 

Social justice is fundamental to the counseling profession, and, as such, scholars have called for an increase in social justice supervision (Ceballos et al., 2012; Chang et al., 2009; Collins et al., 2015; Dollarhide et al., 2018, 2021; Fickling et al., 2019; Glosoff & Durham, 2010). Although researchers have studied multicultural supervision in the counseling profession, to date, minimal research has been conducted on implementing social justice supervision in practice (Dollarhide et al., 2021; Fickling et al., 2019; Gentile et al., 2009; Glosoff & Durham, 2010). In this study, we sought to address this research gap with an exploration of master’s students’ experiences with social justice supervision.

Social Justice in Counseling
     Counseling leaders have developed standards that reflect the profession’s commitment to social justice principles (Chang et al., 2009; Dollarhide et al., 2021; Fickling et al., 2019; Glosoff & Durham, 2010). For instance, the American Counseling Association’s ACA Code of Ethics (2014) highlights the need for multicultural and diversity competence in six of its nine sections, including Section F, Supervision, Training, and Teaching. Additionally, in 2015, the ACA Governing Council endorsed the Multicultural and Social Justice Counseling Competencies (MSJCC), which provide a framework for counselors to use to implement multicultural and social justice competencies in practice (Fickling et al., 2019; Ratts et al., 2015). All of these standards reflect the importance of social justice in the counseling profession (Greene & Flasch, 2019).

Social Justice Supervision
     Although much of the counseling profession’s focus on social justice emphasizes counseling practice, social justice principles benefit supervisors, counselors, and clients when they are also incorporated into clinical supervision. In social justice supervision, supervisors address levels of change that can occur through one’s community using organized interventions, modeling social justice in action, and employing community collaboration (Chang et al., 2009; Dollarhide et al., 2021; Fickling et al., 2019). These strategies introduce an exploration of culture, power, and privilege to challenge oppressive and dehumanizing political, economic, and social systems (Dollarhide et al., 2021; Fickling et al., 2019; Garcia et al., 2009; Glosoff & Durham, 2010; Pester et al., 2020). Moreover, participating in social justice supervision can assist counselors in developing empathy for clients and conceptualizing them from a systemic perspective (Ceballos et al., 2012; Fickling et al., 2019; Kiselica & Robinson, 2001). When a supervisory alliance addresses cultural issues, oppression, and privilege, supervisees are better able to do the same with clients (Chang et al., 2009; Dollarhide et al., 2021; Fickling et al., 2019; Glosoff & Durham, 2010). Thus, counselors become advocates for clients and the profession (Chang et al., 2009; Dollarhide et al., 2021; Gentile et al., 2009; Glosoff & Durham, 2010).

Chang and colleagues (2009) defined social justice counseling as considering “the impact of oppression, privilege, and discrimination on the mental health of the individual with the goal of establishing equitable distribution of power and resources” (p. 22). In this way, social justice supervision considers the impact of oppression, privilege, and discrimination on the supervisee and supervisor. Dollarhide and colleagues (2021) further simplified the definition of social justice supervision, stating that it is “supervision in which social justice is practiced, modeled, coached, and used as a metric throughout supervision” (p. 104). Supervision that incorporates a focus on intersectionality can further support supervisees’ growth in developing social justice competencies (Greene & Flasch, 2019).

Literature about social justice supervision often includes an emphasis on two concepts: structural change and individual care (Gentile et al., 2009; Lewis et al., 2003; Toporek & Daniels, 2018). Structural change is the process of examining, understanding, and addressing systemic factors in clients’ and counselors’ lives, such as identity markers and systems within family, community, school, work, and elsewhere. Individual care acknowledges each person within the counseling setting independent of their environment (Gentile et al., 2009; Roffman, 2002). Scholars advise incorporating both concepts to address power, privilege, and systemic factors through social justice supervision (Chang et al., 2009; Gentile et al., 2009; Glosoff & Durham, 2010; Greene & Flasch, 2019; Pester et al., 2020).

It is necessary to distinguish social justice supervision from previous literature on multicultural supervision. Although similar, these concepts are different in that multicultural supervision emphasizes cultural awareness and competence, whereas social justice supervision brings attention to sociocultural and systemic factors and advocacy (Dollarhide et al., 2021; Fickling et al., 2019; E. Lee & Kealy, 2018; Peters, 2017; Ratts et al., 2015). For instance, a supervisor practicing multicultural supervision would be aware of a supervisee’s identity markers, such as race, ethnicity, and culture, and address those components throughout the supervisory experience, whereas a supervisor practicing social justice supervision would also consider systemic factors that impact a supervisee, in addition to being culturally competent. The supervisor would use that knowledge in the supervisory alliance and act as a change agent at individual and community levels (Chang et al., 2009; Dollarhide et al., 2021; Fickling et al., 2019; Gentile et al., 2009; Glosoff & Durham, 2010; E. Lee & Kealy, 2018; Lewis et al., 2003; Peters, 2017; Ratts et al., 2015; Toporek & Daniels, 2018).

Researchers have found that multicultural supervision contributes to more positive outcomes than supervision without consideration for multicultural factors (Chopra, 2013; Inman, 2006; Ladany et al., 2005). For example, supervisees who participated in multicultural supervision reported that supervisors were more likely to engage in multicultural dialogue, show genuine disclosure of personal culture, and demonstrate knowledge of multiculturalism than supervisors who did not consider multicultural concepts in supervision (Ancis & Ladany, 2001; Ancis & Marshall, 2010; Chopra, 2013). Supervisees also reported that multicultural considerations led them to feel more comfortable, increased their self-awareness, and spurred them on to discuss multiculturalism with clients (Ancis & Ladany, 2001; Ancis & Marshall, 2010). Although parallel research on social justice supervision is lacking, findings on multicultural supervision are a promising indicator of the potential of social justice supervision.

Models
     In recent years, scholars have called for social justice supervision models to integrate social justice into supervision (Baggerly, 2006; Ceballos et al., 2012; Chang et al., 2009; Collins et al., 2015; Glosoff & Durham, 2010; O’Connor, 2005). However, to date, only three formal models of social justice supervision have been published. Most recently, Dollarhide and colleagues (2021) recommended a social justice supervision model that can be used with any supervisory theory, developmental model, and process model. In this model, the MSJCC are integrated using four components. First, the intersectionality of identity constructs (i.e., gender, race/ethnicity, socioeconomic status, sexual orientation, abilities, etc.) is identified as integral in the supervisory triad between supervisor, counselor, and client. Second, systemic perspectives of oppression and agency for each person in the supervisory triad are at the forefront. Third, supervision is transformed to facilitate the supervisee’s culturally informed counseling practices. Lastly, the supervisee and client experience validation and empowerment through the mutuality of influence and growth (Dollarhide et al., 2021).

Prior to Dollarhide and colleagues’ (2021) model for social justice supervision, Gentile and colleagues (2009) proposed a feminist ecological framework for social justice supervision. This model encouraged the understanding of a person at the individual level through interactions within the ecological system (Ballou et al., 2002; Gentile et al., 2009). The supervisor’s role is to model socially just thinking and behavior, create a climate of equality, and implement critical thinking about social justice (Gentile et al., 2009; Roffman, 2002).

Lastly, Chang and colleagues (2009) suggested a social constructivist framework to incorporate social justice issues in supervision via three delineated tiers (Chang et al., 2009; Lewis et al., 2003; Toporek & Daniels, 2018). In the first tier, self-awareness, supervisors assist supervisees to recognize privileges, understand oppression, and gain commitment to social justice action (Chang et al., 2009; C. C. Lee, 2007). In the second tier, client services, the supervisor understands the clients’ worldviews and recognizes the role of sociopolitical factors that can impact the developmental, emotional, and cognitive meaning-making system of the client (Chang et al., 2009). In the third tier, community collaboration, the supervisor guides the supervisee to advocate for changes on the group, organizational, and institutional levels. Supervisors can facilitate and model community collaboration interventions, such as providing clients easier access to resources, participating in lobbying efforts, and developing programs in communities (Chang et al., 2009; Dinsmore et al., 2002; Kiselica & Robinson, 2001).

Each of these supervision models serves as a relevant, accessible tool for counseling supervisors to use to incorporate social justice into supervision (Chang et al., 2009, Dollarhide et al., 2021; Gentile et al., 2009). However, researchers lack an empirical examination of any of the models. To address this research gap and begin understanding social justice supervision in practice, the present qualitative case study exploring master’s students’ experiences with social justice supervision was undertaken.

We selected Chang and colleagues’ (2009) three-tier social constructivist framework in supervision for several reasons. First, the social constructivist framework incorporates a tiered approach similar to the MSJCC (Ratts et al., 2015) and reflects social justice goals in the profession of counseling (Ceballos et al., 2012; Chang et al., 2009; Collins et al., 2015; Glosoff & Durham, 2010). Second, the model is comprehensive. In using three tiers to address social justice (self, client, and community), the model captures multiple layers of social justice influence for counselors. Finally, the model is simple and meets the developmental needs of novice counselors. By identifying three tiers of social justice work, Chang and colleagues (2009) crafted an accessible tool to help new and practicing school counselors infuse social justice into their practice. This high level of structure matches the initial developmental levels of new counselors, who typically benefit from high amounts of structure and low amounts of challenge in supervision (Foster & McAdams, 1998).

Method

The research question guiding this study was: What are the experiences of master’s counseling students in individual social justice supervision? We used a social constructivist theoretical framework and presumed that knowledge would be gained about the participants’ experiences based on their social constructs (Hays & Singh, 2012). The ontological perspective reflected realism, or the belief that constructs exist in the world even if they cannot be fully measured (Yin, 2017).

We selected a qualitative case study methodology because it was the most appropriate approach to explore the experiences of a single group of supervisees supervised by the same supervisor in the same semester. In this approach, researchers examine one identified unit bounded by space, time, and persons (Hancock et al., 2021; Hays & Singh, 2012; Yin, 2017). Qualitative case study research allows researchers to deeply explore a single case, such as a group, person, or experience, and gain an in-depth understanding of that identified situation, as well as meaning for the people involved in it (Hancock et al., 2021; Prosek & Gibson, 2021).

In this study, we selected a case study methodology because the study’s participants engaged in the same supervisory experience at the same counseling program in the same semester, thus forming a case to be studied (Hancock et al., 2021). Given the research question, we specifically used a descriptive case study design, which reflected the study goals to describe participants’ experiences in a specific social justice supervision experience. Case study scholars (Hancock et al., 2021; Yin, 2017) have noted that identifying the boundaries of a case is an essential step in the study process. Thus, the boundaries for this study were: master’s-level school counseling students receiving social justice supervision from the same supervisor (persons) at a medium-sized public university on the East Coast (place) over the course of a 14-week semester (time).

Research Team
     Our research team for this study consisted of our first and third authors, Clare Merlin-Knoblich and Benjamin Newman, both of whom received training and had experience in qualitative research. Merlin-Knoblich and Newman both identify as White, heterosexual, cisgender, middle-class, and trained counselor educators/supervisors. Merlin-Knoblich is a woman (pronouns: she/her/hers) and former school counselor, who completed master’s and doctoral coursework on social justice counseling and studied social justice supervision in a doctoral program. Newman is a man (pronouns: he/him/his) and clinical mental health/addictions counselor, who completed social justice counseling coursework in a master’s counseling program before completing a doctorate in counselor education and supervision. Our second author, Jenna L. Taylor, was not a part of the research team, but rather was a counseling student unaffiliated with the research participants who assisted in the preparation of the manuscript. Taylor identifies as a White, heterosexual, cisgender, and middle-class woman (pronouns: she/her/hers) with prior experience in research courses and on qualitative research teams. Merlin-Knoblich was familiar with all three participants given her role as the practicum supervisor. Taylor and Newman did not know the study participants beyond Newman’s interactions while recruiting and interviewing them for this study.

Participants and Context
     Although some scholars of some qualitative research methodologies call for requisite minimum numbers of participants, in case study research, there is no minimum number of participants sufficient to study (Hays & Singh, 2012). Rather, in case study research, researchers are expected to study the number of participants needed to reflect the phenomenon being studied (Hancock et al., 2021). There were three participants in this study because the supervisory experience that comprised the case studied included three supervisees. Adding additional participants outside of the case would have conflicted with the boundaries of the case and potentially interfered with an understanding of the single, designated case in this study.

All study participants identified as White, heterosexual, cisgender, middle-class, and English-speaking women (pronouns: she/her/hers). Participants were 23, 24, and 26 years old. All the participants were students in the same CACREP-accredited school counseling program at a public liberal arts university on the East Coast of the United States. Prior to the study, the participants completed courses in techniques, group counseling, school counseling, ethics, and theories. While being supervised, participants also completed a practicum experience and coursework in multicultural counseling and career development.

All participants completed practicum at high schools near their university. One high school was urban, one was suburban, and one was rural. During the practicum experience, participants met with Merlin-Knoblich, their supervisor, for face-to-face individual supervision for 1 hour each week. They also submitted weekly journals to Merlin-Knoblich, written either freely or in response to a prompt, depending on their preference. Merlin-Knoblich then provided weekly written feedback to each participant’s journal entry, and, if relevant, the journal content was discussed during face-to-face supervision. Simultaneously, a university faculty member provided weekly face-to-face supervision-of-supervision to Merlin-Knoblich to monitor supervision skills and ensure adherence to the identified supervision model. The faculty member possessed more than 15 years of experience in supervision and was familiar with social justice supervision models.

Merlin-Knoblich applied Chang and colleagues’ (2009) social constructivist social justice supervision model in deliberate ways throughout the supervisees’ 14-week practicum experience. For example, in the initial supervision sessions, Merlin-Knoblich introduced the supervision model and explained how they would collaboratively explore ideas of social justice in counseling related to their practicum experiences. This included defining social justice, discussing supervisees’ previous background knowledge, and exploring their openness to the idea.

Throughout the first 5 weeks of supervision, Merlin-Knoblich used exploratory questions to build participants’ self-awareness (the first tier), particularly around their experiences with privilege and oppression. During the next 5 weeks of supervision, Merlin-Knoblich focused on the second tier, understanding clients’ worldviews. They discussed sociopolitical factors and examined how a client’s worldview impacts their experiences. For example, Merlin-Knoblich discussed how a client’s age, race/ethnicity, socioeconomic status, family structure, language, immigrant status, gender identity, sexual orientation, and other factors can influence their experiences. Lastly, in the final 4 weeks of supervision, Merlin-Knoblich focused on the third tier of social justice implications at the institutional level. For instance, Merlin-Knoblich initiated discussions about policies at participants’ practicum sites that hindered equity. Merlin-Knoblich also explored the role that participants could take in making resources available to clients, advocating in the community, and using leadership to support social justice. Table 1 summarizes how Merlin-Knoblich implemented Chang and colleagues’ (2009) social justice model.

 

Table 1

Social Justice Supervision in Practice

 

Merlin-Knoblich addressed fidelity to the supervision model in two ways. First, in weekly supervision-of-supervision meetings with the faculty advisor, they discussed the supervision model and its use in sessions with participants. The faculty advisor regularly asked about the supervision model and how it manifested in sessions in an attempt to ensure that the model was being implemented recurrently. Secondly, engagement with Newman occurred in regular peer debriefing discussions about the use of the supervision model. Through these discussions, Newman monitored Merlin-Knoblich’s use of the social justice model throughout the 14-week supervisory experience.

Data Collection
     We obtained IRB approval prior to initiating data collection. One month after the end of the semester and practicum supervision, Newman approached Merlin-Knoblich’s three supervisees about participation in the study. He explained that participation was an exploration of the supervisees’ experiences in supervision and not an evaluation of the supervisees or the supervisor. Newman also emphasized that participation in the study was confidential, entirely voluntary, and  would not affect participants’ evaluations or grades in the practicum course, which ended before the study took place. All supervisees agreed to participate.

Case study research is “grounded in deep and varied sources of information” (Hancock et al., 2021) and thus often incorporates multiple data sources (Prosek & Gibson, 2021). In the present study, we identified two data sources to reflect the need for varied information sources (Hancock et al., 2021). The first data source came from semistructured interviews with participants, a frequent data collection tool in case study research (Hancock et al., 2021). One month after the participants’ practicum experiences ended, Newman conducted and audio-recorded 45-minute individual in-person interviews with each participant using a prescribed interview protocol that explored participants’ experiences in social justice supervision. Newman exercised flexibility and asked follow-up questions as needed (Merriam, 1998).

The interview protocol contained 12 questions identified to gain insights into the case being studied (Hancock et al., 2021). Merlin-Knoblich and Newman designed the interview protocol by drafting questions and reflecting on three influences: (a) the overall research question guiding the study, (b) the social constructivist framework of the study, and (c) Chang and colleagues’ (2009) three-tier supervision model. Questions included “In what ways, if any, has the social justice emphasis in your supervision last semester influenced you as a counselor?” Questions also addressed whether or not the emphasis on social justice at each tier (i.e., self, client, institution) affected participants. Appendix A contains a list of all interview questions.

The second data source was participants’ practicum journals. In addition to interviewing the participants about experiences in supervision, we also asked participants if their practicum journals could be used for the study’s data analysis. The journals served as a valuable form of data to answer the research question, given their informative and non-prescriptive nature. That is to say, although participants knew during the study interviews that the interview data would be used for analysis for the present study, they wrote and submitted their journals before the study was conceptualized. Thus, the journals reflected in-the-moment ideas about participants’ practicum and social justice supervision. Furthermore, this emphasis on participant experiences during the supervisory experience aligned with the methodological emphasis on studying a case in its natural context (Hancock et al., 2021). All participants consented for their 14 practicum journal entries (each 1–2 pages in length) to be analyzed in the study, and they were added to the interview data to be analyzed together. Such convergent analysis of data is typical in case study research (Prosek & Gibson, 2021).

Data Analysis
     We followed Yin’s (2017) case study research guidelines throughout the data analysis process. We transcribed all interviews, replaced participants’ names with pseudonyms, and sent participants the transcripts for member checking. Two participants approved their interview transcripts without objection. One participant approved the transcript but chose to share additional ideas about the supervisory experience via a brief email. This email was added to the data. The case study database was then formed with the compiled participants’ journal entries, the additional email, and the interview data (Yin, 2017).

Next, we read each interview transcript and journal entry twice in an attempt to become immersed in the data (Yin, 2017). We then independently open coded transcripts by identifying common words and phrases while maintaining a strong focus on the research question and codes that answered the question (Hancock et al., 2021). We compared initial codes and then collaboratively narrowed codes into cohesive categories representing participants’ experiences. This process generated a list of tentative categories across data sources (Yin, 2017). Throughout these initial processes, we attended to two of Yin’s (2017) four principles of high-quality data analysis: attend to all data and focus on the most significant elements of the case.

We then independently contrasted the tentative categories with the data to verify that they aligned accurately. We discussed the verifications until consensus was met on all categories. Lastly, we classified the categories into three themes and two subthemes found across all participants (Stake, 2005). During these later processes, we were mindful of Yin’s (2017) remaining two principles of high-quality data analysis: consider rival interpretations of data and use previous expertise when interpreting the case. Accordingly, we reflected on possible contrary explanations of the themes and considered the findings in light of previous literature on the topic.

Trustworthiness
     We addressed trustworthiness in three ways in this study. First, before data collection, we engaged in reflexivity through acknowledging personal biases and assumptions with one another (Hays & Singh, 2012; Yin, 2017). For example, Merlin-Knoblich acknowledged that her lived experience supervising the participants might impact the interpretation of data during analysis and noted that these perceptions could potentially serve as biases during the study. Merlin-Knoblich perceived that the supervisees grew in their understanding of social justice, but also acknowledged doubt over whether the social justice supervision model impacted participants’ advocacy skills. She also noted her role as a supervisor evaluating the three participants prior to the study taking place. These power dynamics may have influenced her interpretations in the analysis process. Newman shared that his lack of familiarity with social justice supervision might impact perceptions and biases to question whether or not supervisees grew in their understanding of social justice. We agreed to challenge one another’s potential biases during data analysis in an attempt to prevent one another’s experiences from interfering with interpretations of the findings.

In addition, we acknowledged that our identities as White, English-speaking, educated, heterosexual, cisgender, middle-class researchers studying social justice inevitably was informing personal perceptions of the supervisees’ experiences. These privileged identities were likely blinding us to experiences with oppression that participants and their clients encountered and that we are not burdened with facing. Throughout the study, we discussed the complexity of studying social justice in light of such privileged identities. We spoke further about our identities and potential biases when interpreting the data.

Second, investigator triangulation was addressed by collaboratively analyzing the study’s data (Hays & Singh, 2012). Because data included both interview transcripts and journals, we confirmed that study findings were reflected in both data sources, rather than just one information source (Hancock et al., 2021). This process helped prevent real or potential biases from informing the analysis without constraint. We also were mindful of saturation of themes while comparing data across participants and sources during the analysis process. Lastly, an audit trail was created to further address credibility. The study recruitment, data collection, and data analysis were documented so that the research can be replicated (Hays & Singh, 2012; Roulston, 2010).

Findings

In case study research, researchers use key quotes and descriptions from participants to illuminate the case studied (Hancock et al., 2021). As such, we next describe the themes and subthemes identified in study data using participants’ journal and interview quotes to illustrate the findings. Three overarching themes were identified in the data: 1) intersection of supervision experiences and external factors, 2) feelings about social justice, and 3) personal and professional growth. Two subthemes, 3a) increased understanding of privilege and 3b) increased understanding of clients, further expand the third theme.

Intersection of Supervision Experiences and External Factors
     One theme evident across the data was that participants’ experiences in social justice supervision did not occur in isolation from other experiences they encountered as counseling students. Coursework, overall program emphasis, and previous work experiences were external factors that created a compound influence on participants’ counselor development and intersected with their experiences of growth in supervision. Thus, external factors influenced participants’ understanding of and openness to a social justice framework. For example, concurrent with their practicum and supervision experiences, participants completed the course Theory and Practice of Multicultural Counseling. While discussing their experiences in supervision, all participants referenced this course. For example, Casey explained that exposure to social justice in the multicultural counseling course while discussing the topic in supervision made her more open and eager to learning about social justice overall.

Participants’ experiences prior to the counseling program also appeared to intersect with and influence their experiences in social justice supervision. Kallie, for instance, previously worked with African American and Latin American adolescents as a camp counselor at an urban Boys and Girls Club. She explained that social justice captured the essence of viewpoints formed in these experiences, saying, “I really like social justice because it kind of is like the title for the way I was looking at things already.” Casey grew up in California and reported that growing up on the West Coast also exposed her to a mindset parallel to social justice. Esther described that though she was not previously exposed to the term “social justice,” studying U.S., women’s, and African American history in college influenced her pursuit of a counseling career. This influence is evident in Esther’s third journal entry, in which she described noticing issues of power and oppression:

My own attention to an “arbitrarily awarded power” and personal questioning as to what to do with this consciousness has been at the forefront of my mind over the past two years. Ultimately this self-exploration led me to school counseling as a vehicle to advocate and raise consciousness in potentially disenfranchised groups.

This quote highlights how Esther’s previous studies in college may have primed her for the content she was exposed to in social justice supervision.

Feelings About Social Justice
     The second theme was a change in participants’ feelings toward social justice over the course of the semester. Two of the participants expressed that their feelings toward social justice changed from intimidation and fear to comfort and enthusiasm. Initially, Casey explained that social justice supervision created feelings of intimidation. Casey felt fear that the supervisor would instruct her to be an advocate at the practicum site, and that in doing so, Casey would upset others. However, Casey reported that she realized during supervision that social justice advocacy does not necessarily look one specific way. Casey said, “I think a lot of that intimidation went away as I realized that I could have my own style integrated into social justice.” Kallie expressed a similar pattern of emotions, particularly regarding examining clients from a social justice perspective. When asked to explore clients through this lens in supervision, an initial uncomfortable feeling emerged, but over the course of practicum, Kallie reported an attitude change. In the sixth journal entry, Kallie explained that she was focusing on examining all clients through a social justice lens, and “found it to be significantly easier this week than last week.”

Esther also shared evidence of changed emotions during social justice supervision. Initially, Esther reported feeling excited, but later, she was confused as to how counselors could use social justice practically. Despite this confusion, Esther shared that she gained new awareness that social justice advocacy is not only found in individual situations with clients, but also in an overall mindset:

Something I will take from it [supervision] . . . is you incorporate that sort of thinking into your overall [approach]. You don’t necessarily wait for a specific event to happen, but once you know the culture of a place, you have lessons geared towards whatever the problem is there.

Despite these mixed feelings, Esther’s experience aligns with Casey’s and Kallie’s, as all reported experiencing a change in emotions toward social justice over the course of supervision.

Personal and Professional Growth
     Participants also demonstrated changes in professional and personal growth throughout the supervision experiences, the third theme identified. In early journal entries, they reported nervousness, doubt, and insecurity regarding their counseling skills and knowledge. Over time, the tone shifted to increased comfort and confidence. This improvement appeared not only related to overall counseling abilities, but specifically to participants’ understanding of social justice in counseling. For example, in Esther’s second journal entry, she noted the influence that social justice supervision had on the ability to recognize oppression and bring awareness to it at practicum. Esther wrote, “Just having this concept be explicitly laid out in our plan has already caused me to be more attentive to such issues.”

Similarly, professional growth was evident in Kallie’s journal entries over time. In the fourth journal entry, Kallie described discomfort and nervousness when reflecting on clients’ sociopolitical contexts. However, in the ninth journal entry, Kallie described an experience in which she adapted her counseling to be more sensitive to the client’s multicultural background. Casey also highlighted growth with an anecdote about a small group she led. Casey explained that the group was for high-achieving, low-income juniors intending to go to college:

In the very beginning, I remember thinking—this sounds terrible now, but—“It’s kind of unfair to the other students that these kids get special privileges in that they get to meet with us and walk through the college planning process.” ’Cause I was thinking, “Wow, even kids who are high-achieving but are middle-class or upper-class, they could use this information, also. And it’s not really fair that just ’cause they’re lower class, they get their hand held during this.” But, throughout the semester, realizing that that’s not necessarily a bad thing for an institution to give another one a little extra help because they’re gonna have a deficit of help somewhere else in their life, and it really is fair. It’s more fair to give them more help ’cause they likely aren’t going to be getting it at home. . . . So, by having that group, it actually is making a greater degree of equity . . . through supervision and through processing all of that, [I learned] it was actually evening the board out more.

     Participants also expressed that their professional growth in social justice competencies was intertwined with personal growth. Casey reported that supervision increased her comfort when talking about social justice issues and led to the reevaluation of personal opinions. Similarly, Kallie summarized:

I am very thankful that I had that social justice–infused model because it changed the way I think about people. . . . It kinda opened my eyes in a way I had not anticipated practicum opening my eyes. I didn’t expect that—social justice. I didn’t realize how big of an impact it would actually have.

Increased Understanding of Privilege
     Participants reported that understanding their privilege was one area of growth. During practicum, participants considered their areas of privilege and how these aligned or contrasted with those of clients. For example, in Esther’s third journal entry, she noted that interactions with clients made her more aware of personal privileges, which led her to create a list regarding gender identity, socioeconomic background, and sexual orientation. Casey and Kallie further described initially feeling resistant to the idea of White privilege. Casey explained:

I was a little resistant to the idea of White privilege originally, which I’ve since learned is a normal reaction. ’Cause I’ve kind of had the thought of “No! It’s America! All of us pull ourselves up by our bootstraps and everyone has the same opportunity,” which just isn’t the case. And so that definitely had a huge influence on me—realizing that I have huge privileges and powers that I did not, maybe didn’t want to, recognize before.

After initial resistance, participants reported that they transitioned from feeling shame about White privilege to an increased understanding and excitement to use privilege to create change.

Increased Understanding of Clients
     Lastly, participants also reported specific growth in their understanding of the clients whom they counseled. Participants believed they were better able to understand clients’ backgrounds and experiences because of social justice supervision. Kallie described how reflecting on clients’ sociopolitical contexts helped her better understand clients. She noted that the practice became a habit, saying, “It just kinda invaded the way I look at different people and see their backgrounds.” Casey also described an increased understanding of clients by sharing an example of a client who was highly intelligent, low-income, and Mexican American. Casey learned that the client intended to go to trade school to become a mechanic and was not previously exposed to other postsecondary education options like college. Casey described this realization as “a big moment” and said, “My interaction with him, for sure, was influenced by recognizing that there was social injustice there.”

Discussion

The purpose of this study was to explore counseling students’ experiences in social justice supervision. Findings indicated that participants had meaningful experiences in social justice supervision that impacted them as future counselors. Topics of privilege, oppression, clients’ sociopolitical contexts, and advocacy were reportedly prominent in the participants’ supervision and influenced their experiences.

Despite many calls for social justice supervision in the counseling profession (Baggerly, 2006; Ceballos et al., 2012; Chang et al., 2009; Collins et al., 2015; Glosoff & Durham, 2010; O’Connor, 2005), this is the first known study about supervisees’ experiences with social justice supervision. It represents a new line of inquiry to understand what social justice supervision may be like for supervisees. Findings indicate that participants wrestled with understanding social justice and viewed it as a complex topic. They also suggest that participants found value in making sense of social justice and using it as a tool to better support clients individually and systemically. Similar to research on multicultural supervision, participants indicated that receiving social justice supervision was a positive experience and impacted personal and professional growth (Ancis & Ladany, 2001; Ancis & Marshall, 2010; Chopra, 2013; Inman, 2006; Ladany et al., 2005).

Notably, findings align with some, though not all, of Chang and colleagues’ (2009) delineated tiers in the social justice supervision model. Some of the themes reflect the first tier, self-awareness. For example, participants’ feelings about social justice (Theme 2) and increased understanding of privilege (Theme 3a) highlight how the supervisory experience enhanced their self-awareness as counselors. As their feelings changed and knowledge of privilege grew, their self-awareness improved, a critical task in becoming a social justice–minded counselor (Chang et al., 2009; Dollarhide et al., 2021; Fickling et al., 2019; Glosoff & Durham, 2010). Participants’ increased understanding of clients (Theme 3b) reflects the second tier in Chang and colleagues’ (2009) model, client services. In demonstrating an enhanced understanding of clients and their world experiences, the participants reported thinking beyond themselves and into how power, privilege, and oppression affected those they counseled.

The final tier of the social justice supervision model, community collaboration, was not evident in participant data about their experiences. Despite the supervisor’s intent to address this tier through analyses of school and district policies, as well as community advocacy opportunities, themes about this topic did not manifest in the data. This theme’s absence may suggest that the supervisor’s efforts to address the third tier were not strong enough to impact participants. Alternatively, the absence may suggest that participants were not developmentally prepared to make sense of social justice at a systemic, community level. Instead, their development matched best with social justice ideas at the self and client levels.

Participant findings did align with previous research about supervision. For example, Collins and colleagues (2015) studied master’s-level counseling students and found that their lack of experience in social justice supervision led them to feel unprepared to meet the needs of diverse clients. In this study, the presence of social justice supervision helped participants feel more prepared to support clients, as evidenced in the subtheme of increased understanding of clients. Furthermore, this study reflects similar findings from multicultural supervision research. We found that multicultural supervision was associated with positive outcomes of being prepared to work with diverse clients and engaging in effective supervision (Chopra, 2013; Inman, 2006; Ladany et al., 2005). This pattern is reflected in the current study, as participants reported positive experiences in social justice supervision. Ancis and Ladany (2001) and Ancis and Marshall (2010) found that incorporating multicultural considerations into supervision increases supervisees’ self-awareness and encourages them to engage clients in multicultural discussions. These same results were evident in the present study, with participants reporting personal and professional growth, such as stronger awareness of White privilege and greater willingness to examine clients’ sociopolitical contexts. Findings also reflect general research on supervision, which indicates that supervisees typically experience personal and professional growth in the process (Association for Counselor Education and Supervision, 2011; Watkins et al., 2015; Young et al., 2011).

Furthermore, study findings also align with assertions from supervision scholars regarding the value of social justice supervision. They support Chang and colleagues’ (2009) claim that social justice supervision can increase counselor self-awareness and build an understanding of oppression. Additionally, the findings also reflect Glosoff and Durham’s (2010) assertion that social justice in supervision helps supervisees gain awareness of power differentials. Finally, Ceballos and colleagues (2012) posited that social justice supervision will help counselors develop empathy for clients as counselors conceptualize clients in a systemic perspective. The participants’ enhanced understanding of White privilege and their clients’ contexts supports each of these ideas. Though findings are not generalizable, they appear to confirm scholars’ ideas about social justice supervision and suggest that the approach can be a positive, beneficial experience for counselors-in-training.

Limitations
     Study findings ought to be considered in light of the study’s limitations. First, although case study research focuses on a single identified case by definition and is not designed for generalization (Hays & Singh, 2012), the case in this study consisted of a demographically homogenous population of only three participants lacking racial, gender, and age diversity. This lack of diversity influenced participants’ experiences and study findings. Second, although the supervisor in this study did not conduct the semistructured interviews with participants in an attempt to prevent bias, participants were aware that Merlin-Knoblich was collaborating on the study, and this knowledge may have influenced their reported experiences. Merlin-Knoblich and Newman also began the study with acknowledged biases toward and against social justice supervision, and although they engaged in reflexivity and dialogue to prevent these biases from interfering with data analysis, there is no way to verify that this positionality did not influence the interpretation of findings. Lastly, our privileged identities served as a potential limitation while studying a topic like social justice supervision. Our racial, educational, class, language, and sexual identity privileges continually blind us to the experiences of oppression that others, including supervisees and clients, face. Seeking to know these perspectives better can increase our understanding of the implications of social injustices in society.

Implications for Counselor Educators and Supervisors
     The positive participant experiences illuminated through this study suggest that supervision based on this model may yield positive experiences for counselors-in-training, such as supporting students in developing self-awareness, understanding of clients’ sociopolitical contexts, and advocacy skills (Chang et al., 2009). Although the supervisor in this study used social justice supervision in individual sessions with participants, counselor educators may choose to apply social justice supervision models to group or triadic supervision. Counseling supervisors in agency, private practice, and school settings may also want to consider using social justice supervision to support counselors and subsequently clients (Baggerly, 2006; Ceballos et al., 2012; O’Connor, 2005). Furthermore, counselor educators teaching doctoral students may want to incorporate social justice supervision models into introductory supervision courses. Including these models into course content may in itself increase student interest in social justice (Swartz et al., 2018).

Regardless of the setting in which supervisors implement social justice supervision, the findings suggest practical implications that supervisors can consider. First, supervisors appear to benefit from considering social justice supervision models in their work (Chang et al., 2009; Dollarhide et al., 2021; Gentile et al., 2009). The findings in this study, plus previous research indicating positive outcomes for multicultural supervision (Chopra, 2013; Inman, 2006; Ladany et al., 2005), suggest that social justice supervision may potentially benefit counseling. Second, supervisors using social justice supervision may encounter supervisee confusion, discomfort, and/or enthusiasm when introduced to social justice supervision. These feelings also may change over the course of the supervisory relationship when learning about social justice. Third, supervisors ought to be mindful of all three tiers of Chang and colleagues’ (2009) social justice supervision model and a supervisee’s developmental match with each tier. As seen in this study, supervisees may be best matched for the first and second tiers of the model (self-awareness and client services), but not the third tier (community collaboration). Supervisors would benefit from assessing a supervisee’s potential for understanding community collaboration before deciding to infuse its focus in supervision.

More research is needed to understand social justice supervision. A variety of future studies, including different models, methods, and settings, would benefit the counseling profession. For example, a study implementing the social justice supervision model proposed by Dollarhide and colleagues (2021) can add to the needed research in this field. Additional qualitative studies with diverse supervisees in different counseling settings would be helpful in understanding if the experiences participants reported encountering in this study are common in social justice supervision. Quantitative studies on social justice supervision interventions would also add to the profession’s knowledge on the value of social justice supervision. Lastly, studies on supervisees’ experiences in social justice supervision compared to other models would highlight benefits and drawbacks of multiple supervision models (Baggerly, 2006; Chang et al., 2009; Glosoff & Durham, 2010).

Conclusion

In this article, we explored master’s-level counseling students’ experiences in social justice supervision via a qualitative case study. Through this exploration, we identified three themes reflecting participants’ experiences in social justice supervision: intersection of supervision experiences and external factors, feelings about social justice, and personal and professional growth, as well as two subthemes: increased understanding of privilege and increased understanding of clients. Findings suggest that social justice supervision may be a beneficial practice for supervisors and counselor educators to consider integrating in their work (Chang et al., 2009; Dollarhide et al., 2021; Gentile et al., 2009; Pester et al., 2020). Further research across contexts and with a range of methodologies is needed to better understand social justice supervision in practice.

 

Conflict of Interest and Funding Disclosure
The authors reported no conflict of interest
or funding contributions for the development
of this manuscript.

 

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Appendix A

Semistructured Interview Questions

  1. What brought you to this counseling program?
  2. Overall, how would you describe your practicum experience last semester?
    1. Where did you complete your practicum?
    2. How would you describe the population you worked with at your practicum?
  3. What previous experience, if any, did you have with social justice prior to individual practicum supervision?
  4. During individual practicum supervision on campus last semester, what were some of your initial thoughts and feelings about a social justice–infused supervision model?
  5. In what ways, if any, did those thoughts and feelings about social justice change throughout your
    supervision experience?

These next three questions address three areas of social justice that were incorporated into your individual practicum supervision model: self, students (clients), and institution (school or school districts).

6. Do you think that the emphasis on social justice related to self (i.e., your power, privileges, and experience with oppression) in individual practicum supervision on campus had any influence on you?

    1. If yes, what influence did this emphasis have on you?
    2. If no, why do you think that’s the case?

7. Do you think that the emphasis on social justice related to others (i.e., the sociopolitical context of students, staff, etc.) in individual practicum supervision on campus had any influence on you?

    1. If yes, what influence did this emphasis have on you?
    2. If no, why do you think that’s the case?

8. Do you think that the emphasis on social justice related to institution (i.e., your practicum site, school district) in individual practicum supervision on campus had any influence on you?

    1. If yes, what influence did this emphasis have on you?
    2. If no, why do you think that’s the case?
  1. In what ways, if any, has the social justice emphasis in your individual practicum supervision influenced you as a counselor?
  2. In what ways, if any, has the social justice emphasis in your individual practicum supervision influenced your development as a person?
  3. How would you define social justice?
  4. Is there anything else you would like to add regarding your experience in a social justice–infused model of supervision last semester?
  5. Is there anything else you’d like to share?

 

Clare Merlin-Knoblich, PhD, NCC, is an associate professor at the University of North Carolina at Charlotte. Jenna L. Taylor, MA, NCC, LPC-A, is a doctoral student at the University of North Texas. Benjamin Newman, PhD, MAC, ACS, LPC, CSAC, CSOTP, is a professional counselor at Artisan Counseling in Newport News, VA. Correspondence may be addressed to Clare Merlin-Knoblich, 9201 University City Blvd., Charlotte, NC 28211, cmerlin1@uncc.edu.

 

Lifetime Achievement in Counseling Series: An Interview With Mariaimeé Gonzalez

Joshua D. Smith, Neal D. Gray

 

Each year TPC presents an interview with a seminal figure in counseling as part of its Lifetime Achievement in Counseling series. This year I am honored to introduce Dr. Mariaimeé Gonzalez. She is a professor of counselor education, the chair of the Clinical Mental Health Counseling Program at Antioch University Seattle, and a transformational leader and advocate. Collectivism grounds and infuses her work and her practice of mentorship as community building and a key strategy for increasing diversity in the counseling profession. I am grateful to Dr. Joshua Smith and Dr. Neal Gray for bringing the contributions and vision of Dr. Gonzalez to TPC readers. —Amie A. Manis, Editor

 

     Mariaimeé “Maria” Gonzalez (she/her/ella), PhD, LPC, was born in Puerto Rico and raised in the United States. She earned both her master’s and doctoral degrees from the University of Missouri–St. Louis and moved to Seattle, Washington, in 2014 to become a faculty member at Antioch University Seattle (AUS), located on the traditional land of the first people of Seattle, the Duwamish People, past and present. Dr. Gonzalez is the chair of the Master of Arts in Clinical Mental Health Program and is the co-founder of the Antioch University Latinx Mental Health & Social Justice Institute, which brings together community-engaged research, service, training, and community partnerships to promote the mental health and well-being of Latinx/e people. She truly enjoys teaching in the master’s and doctoral programs at AUS and is passionate about her work with other accomplices in liberation. She is a licensed professional counselor in the state of Missouri and an approved supervisor in the state of Washington. Dr. Gonzalez currently serves as the president of the American Counseling Association (ACA) of Washington (2020–22), chair of ACA’s International Committee (2022), president elect-elect for the Western Association for Counselor Education and Supervision (WACES), and ACA parliamentarian for 2021–22. She served as coeditor of Experiential Activities for Teaching Social Justice and Advocacy Competence in Counseling and is a board member for the WACES Journal of Technology in Counselor Education and Supervision. Her research passions are global mental health, clinical supervision, Latinx/e human rights, counselor and counselor educator professional identity development, correctional counseling, liberation psychology, social justice and advocacy counseling, and anti–human trafficking advocacy. She has been involved with global mental health and advocacy for about 15 years and served as a United Nations delegate to advocate for global mental health, especially during the COVID pandemic. Dr. Gonzalez has spent over 20 years working through the paradigm of mental liberation, which includes global community and mentorship. She is currently a WACES mentor and enjoys spending time with her loved ones and community.

In this interview, Dr. Gonzalez discusses her work as a mentor, barriers facing the Latinx/e community, and advice for future counseling professionals.

 

  1. You have recently been recognized for your work in mentorship. What is the role of a successful mentor in counselor education?

The role of mentorship in counselor education is essential for creating community and supporting the future generation of mental health professionals. The Council for Accreditation of Counseling and Related Educational Programs (CACREP) mentions mentorship in the standard section 6.B.3.i, “the role of mentoring in counselor education.” Based on its importance, I believe mentorship should be promoted more often in the counseling profession and in programs.

A successful mentor in counselor education is someone who can provide a deeper perspective to a mentee on how to navigate counselor education and counseling environments through a lens of liberation. Mentorship can be conceptualized as a form of community building that allows for the mentor and mentee to learn from one another. The mentor can be a steward of the profession and provide support for the mentee to move forward with their professional and personal goals, values, and community building.

Research suggests that women and Black, Indigenous, and People of Color (BIPOC) folx are more likely than other groups to share that mentoring was an important component of their career. It is important that counseling professionals build their village of trusted colleagues to accompany them on their journey and foster the path of liberation as a counselor and/or counselor educator. Mentors can be part of this village and provide an environment that is supportive of mentees’ growth as individuals and as members of the counseling profession. By learning from one another, we can continue to be bound in our liberation and help the counseling profession evolve toward reducing oppression, creating space for all our gifts and stories, and lifting each other up.

  1. What are the benefits and challenges associated with mentorship that you have experienced? How did you navigate these challenges?

The primary benefit I have experienced with mentorship is community. As someone who leans into community for strength and support, I find mentorship to be an expansion of this concept. It can be healing to have someone there to listen to or consult with us about a variety of professional issues. I have noticed over the years more students and new professionals intentionally looking for mentors because they want someone with whom they can discuss professional goals and someone who will provide a brave place for conversations about how to navigate cultural spaces and tap into their own cultural capital. More BIPOC folx and women seek out mentors to help them learn how to fully utilize their own cultural knowledge, values, and gifts in the counseling profession. Another benefit of mentorship is being present for one’s story. As a mentor, it is an honor to walk beside someone on their journey. I feel I learn so much from my mentees and get excited about ways we can continue to encourage this profession to evolve and create community for future professionals.

Mentorship, like any relationship, takes time and nurturing. I have found that it is helpful to discuss with your mentee their goals, personal expectations of the relationship, personal learning styles, cultural values, time commitment, and their support system/village. At times, mentees have had a need for personal support that was more suited for their counselor or therapist. Understanding the boundaries of the role of the mentor–mentee relationship is part of understanding our roles and being ethical professionals.

  1. What do you consider to be your major contribution to the development of the counseling profession and why?

My voice is part of the collective consciousness of my loved ones and my community, including my ancestors. I think we all have power in our voices, and we each bring a unique perspective to this profession. My journey through mental health counseling, social justice, and higher education took roots early in my personal life as I overcame a series of challenging life events. Transitioning from Puerto Rico to the United States as a young child, overcoming poverty, and enduring the tragic loss of a loved one were mile markers along the path that has led me toward a career focused on social justice, mental health counseling, and counselor education. From my humble origins to chairing a clinical mental health counseling program at AUS, my professional and personal journey has prepared me to be deeply engaged in a profession that has provided purpose and an opportunity to create change in my world. As a lifelong social justice advocate, I have been passionate to live a life rooted in liberation and have used different paths to implement this. Over my career, I have had the honor to teach thousands of counselors-in-training and counselor educators-in-training, work with clients from all walks of life, publish research to foster social justice and advocacy, supervise and mentor, and be involved with leadership on many levels.

In my current state and national leadership roles, I work to promote a community in which we all strive to honor one another while creating a collective bond. Within this bond, we meet at the center of compassion while implementing our individual and communal gifts, strengths, commonalities, and differences. With this collective unity, we discover what connects us as professionals so we can expand our existing journeys, thus impacting how we interact with our counseling profession. The counseling profession reflects who we are and vice versa. This includes our voices, our stories, and our truths; therefore, if we evolve, we can continue to grow as a counseling profession. I have the honor to be the co-founder and co-director of a Latinx social justice mental health institute, ACA of Washington board chair, ACA parliamentarian 2021–22, president-elect-elect of WACES, chair of a counseling program, and chair of ACA’s International Committee 2021–22. In all these roles, the goal has been to create a community in which we can provide support, resources, and opportunity for voices to be heard and for change to occur. I believe my main contributions are part of a larger story, much greater than myself. This includes honoring those who have paved the way for me and many others to be part of this profession, and as a way to keep their legacy alive, I work to co-create communities rooted in social justice within our profession and in supporting the next generation of counselors as they focus on helping the professional landscape evolve to a place of more liberated thought.

  1. As the co-founder and director of the Latinx Mental Health & Social Justice Institute, what current barriers do you see this population facing and what does advocacy look like in your current role?

More than 19% of the U.S. population self-identify as Hispanic or Latine/x, making people of Latin origin the nation’s largest racial/ethnic minority (Lopez et al, 2021). Approximately 1 in 10 Latine/x individuals with a mental health issue uses mental health services from a general health care provider. Current barriers impacting the Latine/x population with regard to mental health are lack of accessible health services, lack of Spanish-speaking professionals, lack of culturally responsive treatment that aligns with Latine/x values, stigma in the community around mental health, and the need for better health care policies for all Latine/x individuals, including those who are undocumented (American Psychiatric Association & Lisotto, 2017). To tackle these barriers, we need to address systemic inequities on the macro, meso, and micro levels.

Currently, my advocacy is focused on growing our Latinx Mental Health & Social Justice Institute at AUS (https://latinxinstitute.antioch.edu). The Institute provides leadership for community-engaged research and service through capacity building and authentic partnerships with community stakeholders to promote impactful improvements in the health and well-being of Latine/x communities regionally, nationally, and internationally. We hope to help address barriers by creating a community of Latine/x professionals who will be accomplices in our liberation, working together to dismantle the oppressive systems that have impacted our communities, create opportunities for change rooted in liberation, and use our cultural stories, strengths, and values to guide our practices. We offer a master’s-level certificate in Latinx mental health and social justice, workshops to learn culturally responsive practices, partnerships with different nonprofit organizations, continuing education opportunities, an annual symposium during Hispanic Heritage Month, counseling services at our university’s clinic, community building, research, mentorship, training, global engagement, and cultural justice and advocacy. All efforts and roles I participate in are based on principles of social justice, human rights, and inclusion respective to intersections of one’s cultural Latinx narrative.

  1. What three challenges to the counseling profession as it exists today concern you most?

In the last 20 years, the average college tuition has increased by 30%. With the rising costs of higher education, more students are taking out student loans, and this debt is a burden that weighs more heavily on today’s college graduates than any generation that came before them. Due to the financial barriers, this impacts the demographic landscape of who enters the profession, quality of life, job satisfaction, and other factors. As a profession, we need to continue working on advancing and ensuring that licensed professional counselors can have seamless portability of their licenses when moving to other states, practicing across state lines, and engaging in telecounseling. This issue was illuminated during the COVID pandemic. We need to also work toward eliminating barriers that build a wall between our profession and the needs of our communities. Specifically, we need to work on decolonizing our profession. This includes recognizing that for many BIPOC individuals, the trauma from colonization and oppression impacts the mental health of individuals, families, and communities and the process of freeing ourselves from mental and systemic oppression. And last, we need to ensure adequate and equitable reimbursement for professional counselors in all settings. This means that all professional counselors need to be included as providers under all public and private insurance plans, especially Medicare.

  1. What needs to change in the counseling profession for these concerns to be successfully resolved?

We need to find a way to provide financial options for students pursing degrees in counseling and counselor education. This means intentionally creating a diverse pipeline of counselors and counselor educators through offering more scholarships, setting up state funding programs for counseling programs—more grants and university initiatives—and offering more easily accessible public service student loan forgiveness. In addition to eliminating financial barriers, we need to engage in practices to decolonize our profession. This includes decolonizing counseling theories, clinical practices, training programs, policies, research practices, leadership models, financial structures, and other systemic factors that create oppressive barriers. By dismantling systems of oppression, we can move toward a place of mental liberation and support liberatory practices in collaboration with the clients and communities in which we live and serve. When I think of liberation, I lean into the words of activist, Indigenous Australian (or Murri) artist, and academic, Lilla Watson, which she presented in a speech to the UN and attributed to her work with an Aboriginal Rights group in Queensland: “If you have come here to help me, you are wasting your time. But if you have come because your liberation is bound up with mine, then let us work together” (1985). As a profession, let’s continue to work toward a place in which we are bound in our liberation, freeing ourselves from oppression, and continue to heal collectively.

For the opportunity to heal, accessibility and inclusion are important for our profession to create community and connections. Currently, ACA has a strategic plan to address the challenges of licensure portability. They are working on a Counseling Compact, which “is an interstate compact, or a contract among states, allowing professional counselors licensed and residing in a compact member state to practice in other compact member states without a need for multiple licenses” (National Center for Interstate Compacts, 2022). The Counseling Compact is to help counselors have easier access to practice across state lines, which includes telehealth options, which will also allow clients more access to a diverse range of professional mental health counselors.

ACA and NBCC have been working for years on lobbying efforts to pass legislation that would allow for licensed professional mental health counselors to be reimbursed by Medicare. ACA’s and NBCC’s Government Affairs teams are working hard to get this legislation passed, but we should also get involved. We urge counselors to contact their state senators and ask for their support on this initiative. Medicare is the nation’s largest health insurance program. Opening its access to licensed professional counselors would increase access to services for BIPOC folx, people of lower socioeconomic status, and the older population. Medicare covers more than 43 million people age 65 or older and more than 10 million Americans with disabilities. Many of these folx are in communities with limited access to mental health services and/or the services lack diversity in professionals. As professional counselors in and around these communities, we should strive to create and then join the solution to accessible health care.

  1. If you were advising current counseling leaders, what advice would you give them about moving the counseling profession forward?

Listen. I would advise leaders to listen to the members and stakeholders. There are many ways in which we can work toward evolving our profession, but we need to listen to one another in order to do this together. I would encourage current leaders to support and mentor leaders from communities that have been silenced or not invited to the table. As leaders, we need to think of the next generation and be thoughtful about supporting all communities, especially BIPOC leaders. As BIPOC leaders, we have many gifts to offer and need to bring our villages with us. As stated earlier, we are all bound together in liberation, so let’s collectively lead into a more inclusive future of our profession.

 

This concludes the seventh interview for the annual Lifetime Achievement in Counseling Series. TPC is grateful to Joshua D. Smith, PhD, NCC, LCMHC, and Neal D. Gray, PhD, LCMHC-S, for providing this interview. Joshua D. Smith is an assistant professor at the University of Mount Olive. Neal D. Gray is a professor and Chair of the School of Counseling and Human Services at Lenoir-Rhyne University. Correspondence can be emailed to Joshua Smith at jsmith@umo.edu.

 

References

American Psychiatric Association, & Lisotto, M. (2017). Mental health disparities: Hispanics and Latinos. Council on Minority Mental Health and Health Disparities. https://www.psychiatry.org/File%20Library/Psychiatrists/Cultural-Competency/Mental-Health-Disparities/Mental-Health-Facts-for-Hispanic-Latino.pdf

Lopez, M. H., Krogstad, J. M., & Passel , J. S. (2021, September 23). Who is Hispanic? Pew Research Center. https://www.pewresearch.org/fact-tank/2021/09/23/who-is-hispanic

National Center for Interstate Compacts. (2022, January 30). Counseling compact. https://counselingcompact.org

Watson, L. (1985, July 15–26). The World Conference to Review and Appraise the Achievements of the United Nations Decade for Women: Equality, Development and Peace 1985. United Nations.

 

Book Review—Integrative Behavioral Couple Therapy: A Therapist’s Guide to Creating Acceptance and Change, Second Edition

by Andrew Christensen, Brian D. Doss, and Neil S. Jacobson

 

Any counselor working with individual clients should also develop competence for working with couples. Because we have instinctual needs to love and be loved, relationship issues are not foreign to the dialogue counselors have with patients in individual therapy sessions. Even when individual treatment plans do not delineate clear objectives for improving a relationship, counselors often explore solutions for relationship issues with their individual clients. So, why not look for those solutions in the work of three esteemed mental health experts with over 40 years of research and clinical practice in couples therapy?

The book Integrative Behavioral Couple Therapy: A Therapist’s Guide to Creating Acceptance and Change by Andrew Christensen, Brian D. Doss, and Neil S. Jacobson, includes a description of theoretical principles of Integrative Behavioral Couple Therapy (IBCT) along with differences and similarities to other evidence-based treatments. The authors’ description is supported by evidence of the efficacy of IBCT and the application thereof. IBCT is a contingency-shaped application rather than rule-governed. Christensen, Doss, and Jacobson encourage clinicians to use their best judgment when applying IBCT principles. For clinicians working under any capacity of experience, the IBCT concepts are thoroughly explained for the advanced practitioner and the intern therapist or practicum student.

Introduced in the book are two core concepts that promote acceptance and change: empathic joining and unified detachment. Empathic joining facilitates acceptance by kindling compassion and empathy. This leads to forgiveness and support from both individuals of a couple. This is described strategically through observing couple interacting patterns with intention to shift partners away from dissecting actions of the other and toward looking at their own reactions and feelings. Then, using empathic listening skills, IBCT therapists sensitively summarize “hard” and “hidden” emotions to the couple. With unified detachment, partners reduce negative affect by engaging in discussion in the sessions, and then thereafter, about salient incidents and issues in a nonjudgmental way. This kind of dyadic mindfulness allows for a safe, non-blaming analysis of problematic communication and behavior between a couple. IBCT happens in phases, but the core concepts are drawn upon through the entire course of IBCT therapy.

Phases include Evaluation and Assessment—joint session then individual sessions for formulating a DEEP analysis (Differences, Emotional sensitivities, External stressors, and Pattern of communication); Feedback session—conceptualizing problems and description of the intervention; and Intervention sessions. Interventions are both acceptance-focused and change-focused and executed by employing empathic joining and unified detachment, tolerance building, dyadic behavioral activation, and communication and problem-solving training.

Limitations for the IBCT guidebook and the counselor using the principles are that although the knowledge of the theories explained in this work are clearly presented, they still require training, consultation, and supervision to administer. The book includes many case examples of real issues (patient names have been changed to protect identities) presented in real IBCT therapy sessions (some with session videos on the American Psychological Association’s video library website). The case examples cover a rainbow of issues (including clinical consideration for diversity, violence, sexual problems, infidelity, and psychopathology); however, they do not replace the valued learning experience from working with a certified IBCT trainer (which the authors imply). Certified IBCT training involves “extensive observation” of actual sessions. More information is available at https://ibct.psych.ucla.edu/, another online tool that has a chapter devoted to IBCT in brief format using the OurRelationship program—an IBCT website intervention for distressed couples (OurRelationship.com).

 

Christensen, A., Doss, B. D., & Jacobson, N. S. (2020). Integrative behavioral couple therapy: A therapist’s guide to creating acceptance and change (2nd ed.). W. W. Norton.

Reviewed by: Evan P. Guetz, MA, LPC

The Professional Counselor

http://tpcjournal.nbcc.org

Book Review—You Are the Sheriff of Me Town: Where You Have All the Power

by Dr. Julia Bain, LPCC, NCC, CEAP

 

You Are the Sheriff of Me Town: Where You Have All the Power, by Dr. Julia Bain, is a book that explores the various aspects of our self-dialogue and self-image, especially areas that are sometimes overlooked. The author begins by introducing her metaphor that we are all the sheriffs of “Me Town,” and as a result, we have control over the choices and beliefs that run this town. The book progresses into the different aspects of our lives that we have control over and the ways that taking ownership of these areas can empower us. This involves diving into our beliefs, thoughts, values, and self-image. 

A strength of this book is how the author breaks down and organizes the sections. When working with a multi-layered metaphor, readers can become overwhelmed with the different terms and ideas presented. Dr. Bain has sectioned the book in a way that introduces and explains topics while also moving the narrative toward more complex ideas.

Another strength of this book is the underlying philosophy driving its message. We are not static beings, and Dr. Bain reminds the reader that change is both possible and necessary to achieve our goals. In pursuit of these goals, Dr. Bain puts a strong emphasis on checking in with oneself.

I greatly enjoyed the resource section at the end of the book. The author uses a key phrase or idea for each letter of the alphabet and describes these ideas in a paragraph or two. These sections are condensed versions of topics discussed in the book and provide a brief summary of Dr. Bain’s points. I saw these sections as mini pep talks or even prompts for journal entries.

An area of improvement for this book would be a stronger recognition of external factors. Yes, we are in control of the choices we make, but oftentimes those choices are influenced by elements outside our control. Being able to separate the various motivators in our lives, whether internal or external, can be a powerful step toward change.

Fellow professionals may see this book as a good resource for clients who are hoping to improve their levels of self-esteem or confidence. Being able to identify different strengths and characteristics in our lives can be an empowering step toward change and growth.

I frequently utilize imagery and metaphors with my clients; I believe it helps build rapport and can help explain difficult or complex topics. I could see other professionals, myself included, using the idea of being “the sheriff of Me Town” as a way to empower clients to take charge of their lives.

Overall, I enjoyed the book, and I could see its usefulness in and out of the counseling session. It breaks down aspects of our identify and helps the reader find ways of nurturing these areas. Although a good starting point, I would encourage readers to use this book as a springboard to dive into deeper areas of reflection and study.

 

Bain, J. (2021). You are the sheriff of Me Town: Where you have all the power. Walton Publishing House.
Reviewed by: Amanda Condic, MA, NCC, LPC
The Professional Counselor
http://tpcjournal.nbcc.org

Access to School Counseling and the Connection to Postsecondary STEM Outcomes

Dana L. Brookover

 

Access to school counseling services leads to access to college-readiness counseling initiatives, including science, technology, engineering, and mathematics (STEM) education–focused counseling for students. School counselor caseload and percentage of time spent on college-readiness counseling were analyzed in relation to longitudinal STEM postsecondary outcomes of students in a nationally representative sample. Access to school counselors who spend 21% or more of their time on college-readiness counseling predicted persistence and attainment of a STEM postsecondary degree. The current results offer implications for school counselors, counselor educators, and future researchers, including the need for STEM self-efficacy interventions, unbiased curriculum, and professional development on STEM counseling for school counselors; and the call for a more nuanced understanding of this topic.

Keywords: STEM, school counseling, college-readiness counseling, longitudinal, self-efficacy

 

College and career readiness are key outcome targets of school systems across the United States (Malin et al., 2017; U.S. Department of Education, 2010). Science, technology, engineering, and mathematics (STEM) initiatives are also a national priority (The White House, Office of Science and Technology Policy, National Science and Technology Council, 2018). School counselors play an integral role in their students’ college readiness through providing college-readiness counseling (Gilfillan, 2017). This includes the important role school counselors perform in educating students on the possibilities in STEM at the college level (Cabell et al., 2021; Schmidt et al., 2012).

STEM Education
     STEM education has been described by Tsupros and colleagues (2009) as an interdisciplinary approach to learning science, technology, engineering, and mathematics that includes understanding and knowledge of science and math concepts, computers, and problem-solving skills. There have been long-standing calls for a more STEM-literate workforce, a more diverse STEM workforce, and more individuals interested in working in the STEM fields in general (Mohr-Schroeder et al., 2015).

STEM education attainment and persistence is an emerging topic in the career development and counseling profession, but there are differing opinions on what constitutes the “STEM crisis” (Xue & Larson, 2015). Some researchers have indicated that the demand for STEM workers in the United States will not be met because of a lack of qualified and interested individuals to step into these positions. Another viewpoint emphasizes that research has indicated there are both shortages and surpluses of STEM workers, depending on the particular job market segment (Xue & Larson, 2015). Still, the data is clear that there is a “STEM crisis” in terms of inequities in who is matriculating into and persisting in STEM majors (National Science Foundation [NSF], 2021).

Despite the great growth in traditionally underrepresented students persisting in STEM majors in college (NSF, 2021) and the potential for career development initiatives to increase retention in STEM for minority groups (Belser et al., 2018), there are still disparities in STEM college major attainment and persistence by gender, race and ethnicity, socioeconomic status (SES), and first-generation college student (FGCS) status (Chen, 2013). This is an equity issue, as the choice to enroll in a STEM postsecondary program may also lead to higher pay and the potential for positive job marketability given the projected growth in available positions (Cataldi et al., 2014; Vilorio, 2014). Hence, school counselors are called upon to address STEM education disparities in their work, as the American School Counselor Association (ASCA; 2019) emphasizes the role of the school counselor in working to ensure equitable postsecondary opportunities and outcomes for all students.

College-Readiness Counseling and STEM Education
     High school counselors are in a unique position to provide career-readiness counseling, including college-readiness counseling for those students who aim to attend college after high school. College-readiness counseling involves developmentally appropriate counseling that engages students in (a) creating postsecondary goals and expectations, (b) building an awareness of interests and abilities, and (c) receiving information and support for their college access and success (Savitz-Romer, 2012). School counselors can focus on STEM education with students in each of these tasks.

Research has shown that students’ intent to pursue a STEM career already varies by populations as early as the ninth grade. Girls and students in minority racial groups, in a nationally representative sample, were less likely to expect to work in a STEM discipline at the age of 30 as compared to boys and White students (Mau & Li, 2018). Students’ SES also predicted STEM career aspirations, in that a student with higher SES was more likely to aspire to a STEM career (Mau & Li, 2018). There are multiple potential reasons for the opportunity gaps in STEM higher education, including lack of engagement in higher-level STEM coursework in high school, the time it takes to complete STEM programs, and a student’s lack of financial ability to do so, as well as attitudinal factors, such as motivation and confidence. These factors can lead to less matriculation into a STEM major and more attrition (Chen, 2013). There may also be a lack of support and encouragement and even direct discouragement from educators for underrepresented minorities and women to engage in STEM coursework, starting in adolescence (Grossman & Porche, 2014). This was echoed in a qualitative study in which high school counselors said that a barrier in their work supporting underrepresented students in STEM was a lack of anti-racist curricula in STEM classes and inconsistencies in anti-racist practice by teachers (Cabell et al., 2021). The importance of college-readiness counseling focused on STEM education is known.

Existing STEM Education–Focused College-Readiness Counseling Research
     Emerging research is developing on the school counselor’s role on students’ STEM self-efficacy and students’ pursuit of postsecondary STEM education (Cabell et al., 2021; Falco, 2017; Falco & Summers, 2019; Schmidt et al., 2012). Falco (2017) provided a conceptual framework with the goal of helping school counselors better support STEM career development for all students and especially those from underrepresented groups. Falco suggested school counselors can encourage students to take advanced-level math and science courses, provide classroom instruction on the benefits of engaging in STEM, ensure balanced gender and racial/ethnic ratios in STEM classes, and organize a peer mentoring program or conduct small group counseling on relevant skills.

Cabell and colleagues (2021) interviewed high school counselors about their work with underrepresented students and STEM education. The participants were actively engaging in college-readiness counseling focused on STEM education with students, but there were barriers to their ability to support underrepresented students’ STEM interests, including lack of time, in part from administrative tasks, and large caseloads (Cabell et al., 2021). This is related to previous research suggesting that the percentage of time spent on college-readiness counseling differs by school characteristics. For example, private school counselors typically spend more time on it than public school counselors, and school counselors with more students on free-and-reduced lunch tend to spend less time (Clinedinst & Koranteng, 2017). Smaller caseloads have also been associated with school counselors spending more than half their time on college-readiness counseling (Engberg & Gilbert, 2014). Further, smaller caseloads show improved college outcomes, including higher rates of 4-year college enrollment (Engberg & Gilbert, 2014; Hurwitz & Howell, 2014).

Schmidt and colleagues (2012) also provided suggestions for school counselors to “expand their repertoire” through STEM-focused career development. Key impact areas include academic and career counseling, and leadership and advocacy. The researchers acknowledged how school climate and the large administrative demands (i.e., duties inappropriate for counselors) placed on school counselors may restrict their ability to engage in career-related and STEM course discussions with students. However, there is no data to shed light on the long-term impacts of this barrier and how their suggested key impact areas influence student outcomes.

Research has found that self-efficacy is an important pathway to students’ STEM major persistence (Lent et al., 2016; Rittmayer & Beier, 2009). Self-efficacy is an individual’s belief in their ability to influence and control the events of their life to obtain desired performances (Bandura, 1994). As an example, when students believe they can achieve desired results in science through their abilities and actions, this is considered high science self-efficacy. Researchers have detailed the results of a career group intervention that incorporated the sources of self-efficacy and addressed perceived career barriers with the goals of improving the career decision self-efficacy and STEM self-efficacy for adolescent girls (Falco & Summers, 2019). Components of the intervention included a group counseling structure, career psychoeducation, journaling, constructing a timeline of successful previous performances, progressive muscle relaxation, vicarious learning, and verbal persuasion by the leader. Results showed significantly different improvements in career decision self-efficacy and STEM self-efficacy. The results of this intervention are promising, especially as it is one of the few empirical studies on self-efficacy counseling interventions and STEM career outcomes with adolescents. The sample was all female with half of the sample identifying as Latina (Falco & Summers, 2019).

It follows that there needs to be access to school counseling services for engagement in college counseling that can effectively bolster students’ STEM aspirations. Given the potential for high school STEM interventions to make a great impact in student’s STEM self-efficacy and education outcomes, the inability of school counselors to provide college counseling, and specifically STEM-focused college counseling, is troubling (Falco & Summers, 2019). To move forward in advocating for school counseling access to promote student outcomes in the STEM pipeline, a theory-driven, longitudinal approach to investigating the impact of school counseling access on this outcome was initiated in the current study. Given the importance of considering student characteristics, environmental inputs, and self-efficacy in STEM matriculation, attainment, and persistence, social cognitive career theory (Lent et al., 1994) served as a logical base for the theoretical framework for this investigation.

Social Cognitive Career Theory
     Social cognitive career theory (SCCT) was developed from Albert Bandura’s (1986) social cognitive theory to create a unifying theory of career and academic interest, choice, and performance (Lent et al., 1994). SCCT accounts for the cyclical nature of making a career choice through accounting for people receiving information from contextual influences that fuel feedback loops (Lent, 2004). These external influences can be contextual supports or barriers (Lent et al., 2000). It is also important to note that one’s perception of barriers moderates the relationship between interests and career choices (Brown & Lent, 1996). Hence, underrepresented and underserved students’ perceptions of barriers in obtaining a STEM degree can impact career choice and development. Moreover, other background environmental influences, person inputs, and behaviors interact in this feedback loop as well. One influence of utmost importance in the theory is self-efficacy. Thus, SCCT can account for external factors, otherwise known as proximal environmental influences (e.g., school counseling access), and individual characteristics (e.g., demographics and self-efficacy) within long-term career development formation.

Purpose of the Study
     The current study was built upon previous SCCT school counseling and STEM attainment and persistence studies. The goal was to investigate the long-term impacts of school counseling access, in relation to student characteristics, on STEM outcomes. The research question guiding the study was: Do school counselor caseload and percentage of time spent on college-readiness counseling predict STEM major attainment and persistence?

Method

Using a multivariate, quantitative, longitudinal research design to answer the research question was well-suited to the purpose of the study. Longitudinal research designs allow for gathering and analyzing data on development over time (Lavrakas, 2008). As the research question was focused on prediction in a sample of students and the outcome was measured quantitatively, this research design was employed. I followed the process of secondary analysis of existing data (Cheng & Phillips, 2014), utilizing the High School Longitudinal Study of 2009 (HSLS:09), developed by the National Center for Education Statistics (NCES; 2020a). The HSLS:09 dataset followed a sample of high school students throughout their secondary education career into postsecondary years (NCES, 2020b).

Participants and Sampling
     The HSLS:09 is a longitudinal study of over 23,000 ninth graders from 944 schools (Ingels & Dalton, 2013; NCES, 2020b). Stratified random sampling ensured a nationally representative sample. Approximately 900 high school counselors were surveyed for the study to provide information on their school counseling departments, including school counselor caseload and percentage of time spent on college-readiness counseling. School counselors in the study were not randomly selected; rather, they were either the lead counselor or the counselor deemed most knowledgeable about the ninth graders at the time of the baseline data collection (Ingels & Dalton, 2013). The baseline data was collected in 2009, then the study had a first follow-up survey with student participants in 2012; there was a brief 2013 update survey and a second follow-up in 2016 (Duprey et al., 2018).

Data Selection
     Cheng and Phillips’s (2014) steps for secondary analysis of existing data under the research question–driven approach guided the data collection procedures for the current study. Thus, I determined which variables in the existing dataset to use to answer the research question. This was done through using SCCT to guide the model creation. Then, I became acquainted with the coding patterns of variables. This led to the transformation of distributions of select variables to meet assumptions of the model to be used in analysis when necessary, as detailed below.

Constructs and Variables
     The HSLS:09 variables (NCES, 2020a) included in the current study both cover the research question and fit within the theoretical framework (i.e., SCCT; Lent et al., 1994). First, there are demographic variables, also known as person inputs and background environmental influences, within SCCT. Data on variables to represent self-efficacy constructs were also selected. Two variables measured school counselor caseload and school counselor percentage of time spent on college-readiness counseling. Finally, the outcome variable was STEM major attainment and persistence.

First-Generation College Student Status
     The FGCS status variable was constructed as a variable detailing the highest level of education achieved by either parent/guardian in the sample member’s home in the HSLS:09 dataset. This was created from two composite variables within the dataset: highest education level of Parent 1 and highest education level of Parent 2. In its original categorical form, there are seven categories for parent highest level of education, but for the current study, it was recoded into a dichotomous/dummy variable; either the student had a parent in the home who has a bachelor’s degree or a more advanced degree, or the student did not have a parent in the home who has a bachelor’s or a more advanced degree.

Race/Ethnicity
     Race/ethnicity information was provided through dichotomous race/ethnicity composites based on data from the student questionnaire, if available. If not available from the student questionnaire, they were based on, in order of preference: data from the school-provided sampling roster or data from the parent questionnaire. The designations included in the HSLS:09 and the current study are: (a) American Indian or Alaskan Native; (b) Asian; (c) Black (African American); (d) Hispanic, no race specified; (e) Hispanic, race specified; (f) more than one race; (g) Native Hawaiian/Pacific Islander; and (h) White. For the current study, the two Hispanic categories were combined.

Sex
     This variable was categorical and referred to the sex of the sample member (male or female) and was provided by the student if possible, and if not, the parent or school roster. The labels male and female have held and continue to hold “powerful associations” (Lips, 2020, p. 3), and not all people identify into a gender binary of female and male (Lips, 2020). There is a gender variable assessed in the HSLS:09 study; however, it is only available in the restricted use dataset, so the sex variable was utilized in the current study.

Socioeconomic Status
     SES was a composite variable consisting of five components obtained from the parent/guardian questionnaire and aligned with previous NCES longitudinal study methods for calculating SES: (a) the highest education among parents/guardians in the two-parent family of a responding student, or the education of the sole parent/guardian; (b) the education level of the other parent/guardian in the two-parent family; (c) the highest occupational prestige score among parents/guardians in the two-parent family of a responding student, or the prestige score of the sole parent/guardian; (d) the occupation prestige score of the other parent/guardian in the two-parent family; and (e) family income. This was a standardized value set to 0; hence, values ranged from −1.82 to 2.57.

Self-Efficacy Variables
     This data was collected at the baseline. SCCT asserts that learning experiences and prior accomplishments are an integral part of forming self-efficacy; hence STEM grade point average (GPA) was included under self-efficacy (Lent et al., 1994). GPA information was collected at the 2013 update.

     Math Self-Efficacy. Math self-efficacy is a continuous variable, with higher values representing higher math self-efficacy. The information was assessed through a scale consisting of four items (e.g., “can do excellent job on math tests”). The variable was created through principal components factor analysis and was standardized to a mean of 0 and standard deviation of 1. Only respondents who provided a full set of responses were assigned a scale value. The coefficient of reliability (demonstrated by alpha) for the scale is .65 (NCES, 2020c).

     Science Self-Efficacy. Science self-efficacy is also a continuous variable, with higher values representing higher science self-efficacy, and was also created through principal components factor analysis and standardized to a mean of 0 and standard deviation of 1. There were four items on the scale (e.g., “can master skills in science course”). Only respondents who provided a full set of responses were assigned a scale value. The coefficient of reliability (indicated by alpha) for the scale is .65 (NCES, 2020c).

STEM GPA
     STEM GPA, an interval variable, was computed during the 2013 update through high school transcript composites. STEM GPA values range from 0.25 to 4, in increments of 0.25.

School Counselor Caseload
     Information for this continuous variable was assessed through one item on the school counselor questionnaire: “On average, what is the caseload for a counselor in this school? Students per counselor.” Students per counselor ranged from 2 to 999 (NCES, 2020c). The variable was recoded into a dichotomous variable, with 0 indicating a school counselor caseload of 250 or less, and 1 indicating a school counselor caseload of 251 or more. The ASCA-recommended caseload number for school counselors is 250:1.

School Counselor Percentage of Time Spent on College-Readiness Counseling
     This was assessed through one item on the school counselor questionnaire that read, “Last school year (2008–2009), what percentage of work hours did your school’s counseling staff spend assisting students with college readiness, selection, and applications?” Responses were reported according to the following categories: 5% or less, 6%–10%, 11%–20%, 21%–50%, and more than 50%. This was recoded to a dichotomous variable—20% or less time spent on college-readiness counseling or 21% or more time spent on college-readiness counseling—reflecting a cut-off of the national average of time spent on college-readiness counseling by school counselors at 21% (Clinedinst & Koranteng, 2017).

Outcome Variable: STEM Major Attainment and Persistence
     This was a dichotomous variable (either Not STEM or STEM) and was collected in the second follow-up study in 2016 (i.e., approximately 3 years post–high school graduation). It referred to how the respondent declared or decided upon their degree and whether that undergraduate degree or certificate is in a STEM field of study.

Data Analysis

Continuing to follow Cheng and Phillips’s (2014) steps for secondary analysis of existing data, the first step in data analysis was to run preliminary analyses of descriptive statistics and bivariate correlations. Then, I assessed missing data patterns. When deemed necessary, the HSLS:09 developers did utilize imputation of values (Ingels & Dalton, 2013). Imputation allows the use of all study respondent records in an analysis, affording more power for statistical tests. Additionally, if the imputation procedure is effective, then the analysis results can be less biased than if there were missing data unaccounted for (Ingels & Dalton, 2013). Value imputation occurred in place of missing responses for select variables identified from the student and parent questionnaires through single-value imputation (Duprey et al., 2018; Ingels & Dalton, 2013). Further, the NCES provides analytic weighted variables and replication weights associated with those main sampling weights. The analytic weights make estimates from the sample data representative of the target population (i.e., ninth grade students in 2009–2010). These analytic weights account not only for differential selection probabilities, but also for differential patterns of response and nonresponse—in other words, nonresponse bias (Duprey et al., 2018). In addition to the analytic weight variables accounting for stratified sampling and nonresponse bias, replication weight variables address standard error concerns. Standard error calculation ensures appropriate standard errors based on the differences between the estimates of the full sample and a series of replicates (Duprey et al., 2018). These replication weights are done with the balanced repeated replication method and help account for the possibility of artificially low standard errors due to clustering in sampling (Duprey et al., 2018).

Prior to running the sequential logistic regression, assumptions testing was completed. Logistic regression analyses allow the use of criterion measures on a binary outcome (Meyers et al., 2017). The result of a logistic regression is the impact of each variable on the probability of the observed event of interest (Sperandei, 2014). Sequential logistic regression allows the researcher to specify the entry order of predictor variables into the model (Tabachnick & Fidell, 2013).

Model 1, the baseline model, represented person inputs and background environmental influences in SCCT. It included the following variables: FGCS status, race/ethnicity, sex, and SES. Model 2 represented self-efficacy, after controlling for person inputs and background environmental influences. Self-efficacy variables included math self-efficacy, science self-efficacy, and STEM GPA. Model 3 examined school counseling access, after controlling for the variables in the previous two models. School counseling access variables were school counselor caseload and school counselor percentage of time spent on college-readiness counseling. Table 1 displays the model steps and variables.

Table 1

Logistic Regression Model Steps

Results

The aim of the current study was to examine the predictors of STEM major attainment and persistence, including school counselor caseload ratio and percentage of time spent on college-readiness counseling. First, preliminary analysis included running descriptive statistics and a correlation matrix.

Preliminary Analysis
     Frequencies and percentages on the variables’ unweighted, valid data (i.e., data before weights were applied and not including missing data) are reported in this section. First, descriptive statistics on person inputs and background environmental influences (i.e., student demographics) were collected. A total of 56.4% (n = 9,468) of the valid sample were FGCS, and 43.6% (n = 7,314) were non-FGCS. A total of 50.9% (n = 11,973) of the sample were identified as female, and the remaining 49% (n = 11,524) as male. The continuous SES variable ranged from −1.93 to 2.88, with a mean score of 0.05 (SD = 0.78). For information on participants’ race/ethnicity, see Table 2.

Table 2

Participant Race and Ethnicity Variable Percentages and Frequencies

Math self-efficacy scores ranged from −2.92 to 1.62 (M = 0.0421, SD = 0.96). Science self-efficacy scores ranged from −2.91 to 1.83 (M = .0372, SD = 0.99). In terms of STEM GPA, the range was 0.25 through 4.00, reported in intervals of 0.25 (M = 2.43, SD = 0.93).

The school counselor caseload in the current study had a mean score of 347.65 students (SD = 130), ranging from 2–999. The median was 350. The school counselor percentage of time spent on college-readiness counseling scores ranged from 1–5 (M = 3.37, SD = 0.95). A total of 2.3% (n = 484) chose 5% or less, and 16.2% (n = 3,389) of the sample chose 6%–10%. A total of 33.8% (n = 7,094) indicated 11%–20%, followed by 37.5% (n = 7,867) choosing 21%–50%. Finally, 10.2% (n = 2,132) of the sample chose the more than 50% option.

For the STEM major persistence and attainment variable, 23% (n = 2,658) of the valid sample were enrolled as a STEM major or had attained a STEM degree as of February 2016, and 77% (n = 8,902) were neither enrolled as a STEM major nor had attained a STEM degree as of February 2016.

Bivariate Correlations
     A bivariate correlational analysis of interval and ratio variables in the study allowed for preliminary examination of collinearity and provided information on relationships between the variables of interest. The bivariate correlation matrix indicated no concerns regarding multicollinearity. The correlations contain indications of relationships to school counseling access. For example, school counseling caseload and percentage of time spent on college-readiness counseling were inversely related (r = −.181, p < .01). School counselor caseload was negatively significantly correlated to SES, STEM GPA, and math self-efficacy. School counselor percentage of time spent on college-readiness counseling was positively significantly correlated with SES, STEM GPA, math self-efficacy, and science self-efficacy. See Table 3 for the full results of the bivariate correlations.

Table 3

Bivariate Correlations

Primary Analysis
     Next, the results of the sequential logistic regression are presented (see Table 4). The outcome variable is a dichotomous variable of STEM major persistence and attainment and indicated if a student either is or is not enrolled as a declared STEM major in a postsecondary institution or has or has not attained a degree in a STEM field from a postsecondary institution.

Statistical assumptions of the model were assessed. Tolerance (0.26) and VIF values (mean VIF = 1.34) indicated no concerns regarding multicollinearity. The Box-Tidwell test indicated the assumption of a linear relationship between continuous predictors and the logit transform of the outcome variable was met, with nonsignificant p values. Utilizing the balanced repeated replication variance estimation method, 16,007 observations were included in the regression model, with a population size of 1,540,118 and 192 replications.

Table 4

Logistic Regression Model Predicting STEM Major Attainment and Persistence

Note. Model 1 = person inputs and background environmental influences (first-generation college student [FGCS], race/ethnicity, sex, socioeconomic status [SES]), without any controls; Model 2 = person inputs and background environmental influences, and self-efficacy variables (math self-efficacy, science self-efficacy, and STEM grade point average [GPA]); Model 3 = person inputs and background environmental influences, self-efficacy variables, and proximal environmental influences (school counselor caseload and percentage of time spent on college-readiness counseling). Reference categories: FGCS = non-FGCS; Sex = male; Race/ethnicity = White; STEM GPA = 3.0–4.0; Percentage of time spent on college-readiness counseling = less than 21%.
*p < .05. **p < .01. ***p < .001.

 

Model 1 was significant, F(9, 189) = 12.49, p < .001. McFadden’s R Square was 0.0506, indicating that the model explains 5.06% of the variance outcomes. This model indicated that SES significantly predicted STEM major attainment and persistence (β = 0.22, p < .001). In addition, female students were less likely than males to report STEM major attainment and persistence (β = −0.94, p < .001). Asian students were significantly more likely than White students to report STEM major attainment and persistence (β = 0.91, p < .001).

Model 2 was significant, F(12, 185) = 19.03, p < 0.001, McFadden’s R Square = 0.0966. STEM GPA significantly predicted STEM major attainment and persistence, with students with GPAs ranging from 0.25–2.75 being significantly less likely to report STEM attainment and persistence compared to students with GPAs of 3.00–4.00 (β = −0.64, p < .001). Both math self-efficacy (β = 0.27, p < .001) and science self-efficacy (β = 0.26, p < .001) were significant predictors of STEM major attainment and persistence, with increases in these variables resulting in higher odds of the outcome. Female sex and Asian race identity remained significant, while SES was no longer significant.

Model 3 was significant, F(14, 178) = 15.90, p < .001, McFadden’s R Square = 0.1005. For Model 3, the Archer–Lemeshow goodness-of-fit test was not significant, and the adjusted Wald test was significant, indicating good model fit. In this model, school counselor percentage of time spent on college-readiness counseling predicted student STEM major attainment and persistence, with 21% or more time spent on college-readiness counseling being more likely to result in the outcome, compared to 20% or less time spent on college-readiness counseling (β = .26, p < .05). School counselor’s caseload was not significant. Female sex, Asian race identity, STEM GPA, math self-efficacy, and science self-efficacy all remained significant predictors in the final model. The model correctly classified 77.34% of the cases, with higher specificity (95.94%) than sensitivity (19.40%).

Discussion

A sequential logistic regression analysis provided the means for exploration of the research question: Do school counselor caseload and percentage of time spent on college-readiness counseling predict STEM major attainment and persistence? Sequential logistic regression allowed for sociocultural context to be considered in the prediction of STEM career–related performance. This is important because the structure of opportunity (e.g., SES, education access, social support), socialization of gender roles, and other societal and family norms influence abilities, self-efficacy, outcome expectations, and goals within SCCT (Lent & Brown, 1996). The first model included person inputs and background environmental influences (Lent et al., 1994), including FGCS status, race/ethnicity, sex, and SES. Students of Asian race/ethnicity had higher odds of persisting in a STEM major or attaining a degree, compared to the White student reference group, which echoes previous research (Chen, 2013; Mau, 2016). SES also predicted the outcome, with students of higher SES having higher odds of STEM persistence and attainment, which is aligned with previous research on students’ SES status and STEM outcomes (Chen, 2013). Finally, female students had lower odds of persisting in a STEM major or attaining a STEM degree than male students in the model; this gender disparity in STEM academic and career-related outcomes has also been noted in the literature (Mau, 2016).

The second model extended the investigation of predictors of STEM major attainment and persistence to include self-efficacy variables (i.e., math self-efficacy, science self-efficacy) and STEM high school GPA, in addition to still accounting for the person inputs and background environmental influences. Within this second model, Asian-identifying students and female students held the same patterns of significance as in the first model, which was that Asian-identifying students had higher odds of attaining or persisting, while female students had lower odds. When accounting for the self-efficacy variables, Hispanic-identifying students then showed significantly higher odds of persisting in a STEM major and attaining a STEM degree. Previous research does not report higher odds of Hispanic student STEM major persistence and attainment (Mau, 2016; NSF, 2021). However, this result in the model suggests that when Hispanic students have equitable math self-efficacy, science self-efficacy, and STEM GPAs, their opportunity for STEM success is increased, which has been reflected in an SCCT academic persistence model with Latinx engineering student participants (Lee et al., 2015). STEM self-efficacy is an important subject for school counselors to address with students (Falco, 2017), given its influential role in STEM outcomes (Mau & Li, 2018; Shaw & Barbuti, 2010).

The second model demonstrated that as math self-efficacy and science self-efficacy scores increased, the odds of a student persisting in a STEM major or attaining a STEM degree increased significantly. Further, students with higher STEM GPAs in high school were more likely to persist in STEM majors or attain a STEM degree. This is aligned with SCCT, which suggests previous learning experiences and prior accomplishments have a positive effect on career-related outcomes (Lent & Brown, 1996). Previous research (Chen, 2013) has also suggested that lack of preparation in advanced STEM courses in high school leads to more STEM major attrition.

The final model included all previous variables and added the two school counseling access variables: school counselor caseload and school counselor percentage of time spent on college-readiness counseling. Variables that remained significant in the model, in the same directionality of odds of the outcome, were: Asian race/ethnicity, Hispanic race/ethnicity, sex, math self-efficacy, science self-efficacy, and high school STEM GPA. The final model showed women were less likely to persist in STEM majors or attain a STEM degree even when accounting for the access to school counseling variables. This gender disparity is unfortunately reflective of the extant literature on STEM outcomes (Chen, 2013). It also perhaps speaks to the barriers school counselors face when working with historically underrepresented students surrounding STEM (Cabell et al., 2021), such as a lack of encouragement from educators for girls to pursue STEM endeavors (Grossman & Porche, 2014).

In the current study, school counselor caseload was not significant in the model. This finding is not aligned with previous research that found the addition of each school counselor to a school’s staff was associated with a 10% increase in 4-year college-going rates (Hurwitz & Howell, 2014), which suggests the influence of caseload on student postsecondary outcomes, as typically more school counselors on staff results in lower caseloads. However, it is important to note that school counselor caseload did have a significant relationship with the percentage of time spent on college-readiness counseling in the current study, with more students on a caseload resulting in less time spent on college-readiness counseling, according to the bivariate correlation analysis.

School counselor percentage of time spent on college-readiness counseling was significant in the final model, and the results indicated that students who have a school counselor who spends at least the national average of time on college-readiness counseling (i.e., 21%) have higher odds of persisting in STEM majors or attaining a STEM degree. Students who have a school counselor who spends 21% or more of their time on college-readiness counseling have 29% higher odds of STEM major persistence and attainment 3 years post–high school graduation. This finding is novel in the literature. School counseling and STEM counseling is a relatively new area of research in the school counseling literature (Falco, 2017; Schmidt et al., 2012). The current study’s finding on the impact of school counselors’ college-readiness counseling on STEM outcomes extends existing research that has noted the importance of school counselors’ role in STEM counseling (Falco, 2017; Falco & Summers, 2019; Shillingford et al., 2017).

Implications
     School counselors can use the results of this study to inform their STEM education–focused college-readiness counseling work. A promising result of the study was that school counselors’ percentage of time spent on college-readiness counseling was predictive of STEM major attainment and persistence. Although there were still inequities in which students were achieving this outcome, including female students. This is helpful information to lead school counselors to target intervention efforts with girls. For instance, girls may benefit from more STEM-focused occupational information and verbal persuasion (i.e., encouragement) from school counselors. These results indicate that school counselors should increase their knowledge and awareness of the barriers their female students are facing related to STEM and seek to correct those barriers. Barriers can include school climate, which school counselors can address through both the messages they themselves and all school staff are sending to their female students about STEM. In terms of consultation, it has been suggested school counselors should play an important role in working with STEM teachers to develop curricula that are unbiased and culturally sensitive to the needs of female and minority students, and the results of the study show the long-lasting effects of how a ninth-grade student perceives their self-efficacy in math and science, supporting this suggestion (Mau, 2016).

Additionally, high school STEM GPA was predictive of persisting and attaining a STEM degree. School counselors encourage high achievement from all students, and this result does not suggest that school counselors should focus their STEM career exploration on just those students who have higher STEM GPAs, assuming those with lower STEM GPAs will not want to enroll as STEM majors in college or cannot be successful once there. All students, regardless of STEM GPA, should receive STEM counseling opportunities. School counselors should also strive to create an environment that is inclusive for all students to be successful in STEM. Further, school counselors can connect their students to the resources to support their success in STEM coursework.

Math and science self-efficacy were important predictive factors of persistence and attainment in a STEM degree, and these areas of self-efficacy can be targeted through interventions with students; previous literature has provided suggestions on how school counselors can do so (Falco, 2017; Schmidt et al., 2012; Shillingford et al., 2017). Developing STEM self-efficacy is important, because when this was held constant, there were no students of different races/ethnicities who were at lower odds of persisting and attaining a STEM degree, nor did SES have an influence on outcomes. School counselors must remain vigilant of the structural inequalities underrepresented students face and remove these barriers (Wolniak et al., 2016).

The results of this study also emphasize the importance of counselor educators intentionally discussing STEM career development in the career counseling and other school counseling curriculum. Research has shown school counselors do not feel knowledgeable about careers in the STEM fields and desire more STEM content information to inform their work (Cabell et al., 2021; Hall et al., 2011). STEM counseling within the school counselor repertoire is a relatively new topic (Schmidt et al., 2012), and counselor educators must be aware of this counseling area and incorporate it into their curriculum. Additionally, the results of this study support the need for collaborations between university counseling programs and neighboring school districts to increase counseling access and improve underrepresented students’ STEM outcomes. Finally, both counselor educators and school counselors can use the results of this study, and the many others that have proven the effectiveness of school counseling, to advocate for lower counselor-to-student ratios and more funding for school counselors.

Limitations and Future Research
     There are limitations to utilizing secondary analysis of existing data. Specifically, researchers are not privy to selection of the variables and the researchers’ bias can influence which variables are selected to study an outcome; there are many more variables in this dataset which could be included for an exploration of the research question (Cheng & Phillips, 2014). However, the use of the NCES-led HSLS:09 dataset allowed for an extensive number of variables for a massive longitudinal study (NCES, 2020a). A potential area for future exploration in this model could also be school counselors’ self-efficacy in college counseling and STEM counseling and how that impacts students’ outcomes. Further, causal inferences should not be assumed in logistic regression models; probability in correctly predicting an outcome does not mean that these variables cause the outcomes (Tabachnick & Fidell, 2013).

Future research studies could utilize multilevel modelling methods to account for school-level variables, such as staff-to-student ratio, percentage of students on free-and-reduced lunch, and geographic area. This would further investigate systemic influences on access to school counseling and student outcomes and could have the potential to increase the percentage of variance accounted for by the models. Additionally, there has recently been follow-up data added to the HSLS:09 dataset, which includes postsecondary transcripts; this study could be replicated with this data.

Research on school counselors and STEM is growing and should be continued. For instance, researchers have explored school counselors’ experiences regarding STEM and STEM counseling (Cabell et al., 2021; Shillingford et al., 2017). Quantitative research surrounding this topic is needed as well to measure differences in STEM counseling allocation and student STEM outcomes as a result of school counselors’ preparation and efficacy in this area. Finally, an understanding of how counselor education programs are and are not preparing their students to engage in college-readiness counseling and STEM counseling is warranted.

Conclusion

This study provides encouraging results regarding the impact of school counselors’ college-readiness counseling on students’ STEM major attainment and persistence. Results detailed how science and math self-efficacy had strong predictive power on STEM outcomes, which informs school counseling practice. Through increased training in college-readiness counseling and STEM counseling in school counseling training programs, and continued attention to a holistic model of college readiness, school counselors can continue to play an integral role in all students’ college and STEM readiness through providing college-readiness counseling (Gilfillan, 2017; Schmidt et al., 2012).

 

Conflict of Interest and Funding Disclosure
Data collected and content shared in this article
were part of a dissertation study, which was
awarded the 2021 Dissertation Excellence Award
by the National Board for Certified Counselors.

 

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Dana L. Brookover, PhD, NCC, is a licensed school counselor and an assistant professor at the University of Scranton. Correspondence may be addressed to Dana L. Brookover, McGurrin Hall Room 435, McGurrin Hall, The University of Scranton, Scranton, PA 18510, brookoverdl@gmail.com.