TPCJournal-Volume13-Issue4-FULL

The Professional Counselor | Volume 13, Issue 4 389 Data Collection Procedures To follow phenomenological research methods, Interiano-Shiverdecker trained the doctoral student (McVay) in conducting semi-structured interviews. The researchers developed interview questions based on the purpose of the study and from a review of the literature. Interiano-Shiverdecker and McVay completed the interviews. Following Moustakas’s (1994) recommendations, the interview protocol consisted of 12 semi-structured, open-ended questions that invited an in-depth discussion of their experiences. To create our interview protocol, we reviewed current literature in counseling on sex trafficking, particularly qualitative studies (Browne-James et al., 2021; Bruhns et al., 2018; Johnson, 2020; Wang & Park-Taylor, 2021; Woehler & Akers, 2022). Based on this review and Interiano-Shiverdecker’s experience in qualitative research, we decided to focus not only on counselors’ experiences with working with this population but also on their perspectives on the identification, prevention, and impact of sex trafficking on their clients. The complete interview protocol can be found in the Appendix. Interviews lasted from 26 to 69 minutes in length and occurred via Zoom because data collection occurred in 2021 and it was the most appropriate medium to respect social distancing and obtain a national sample. According to our IRB approval, our data collection presented no more than minimal risks for the participants. All interview questions followed a respectful disposition using open-ended questions to engage participants. However, McVay explained before beginning the interviews that participants could stop, pause, or opt out of the interview if the questions brought too much emotional distress. No participant requested the interview to be stopped or paused. During the interviews, we used counseling skills to facilitate the conversation and to build upon the experiences discussed. We recorded and de-identified all interviews for verbatim transcription. Participants also completed a demographic questionnaire before the interview to confirm their eligibility for the interview and obtain information on their age, gender, race/ethnicity, work setting, CACREP accreditation and degree, years working with sex trafficking survivors, and the number of clients they worked with who identified as trafficked. Data Analysis Utilizing Moustakas’s (1994) modification of Van Kaam’s data analysis, the research team engaged in the seven steps proposed by this approach. Data analysis and management relied on the use of NVivo software (Version 12). Interiano-Shiverdecker provided training in data analysis to McVay, Satel, and Smith. Interiano-Shiverdecker, McVay, Satel, and Smith engaged in the first step by individually analyzing transcripts and engaging in horizontalization of meaning units (Hays & Singh, 2012) to create in vivo codes for all nonrepetitive, nonoverlapping statements (meaning units). Second, we merged all files to determine the invariant constituents through a process of reduction and elimination. This first process of reduction allowed us to determine what was necessary and sufficient data to understand the phenomenon (Moustakas, 1994). The team then assigned themes or clusters of meaning to similar statements (third step). From the clusters of meaning, we created an initial codebook based on the discussions and findings from individual data analysis. We used the initial codebook to examine the themes against the dataset, ensuring that it was representative of participants’ experiences (fourth and fifth steps). As a team, we discussed any disagreements and worked on the data until we achieved a consensus. We worked out disagreements by discussing any opposing views and voting as a group on the best decision. We subsequently created textural descriptions through participants’ verbatim quotes, as well as created structural descriptions by examining the emotional, social, and cultural connections between what participants said (sixth step). Finally, we created composite textural-structural descriptions that outlined the reoccurring and prominent themes across all participants by organizing the themes into subthemes and ensuring that

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