88 The Professional Counselor | Volume 12, Issue 1 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.
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