636 The Professional Counselor | Volume 10, Issue 4 had been conducted. Each research team was asked to review the transcripts developed from the 15 interviews to deduce whether adequate saturation had been achieved and until consensus was reached. Transcription All interview recordings were transcribed by graduate students. These students had no familiarity with the interviewees and were trained in how to transcribe verbatim. Once completed, each transcript was sent back to the interviewees to ensure accuracy. After all interviewees checked their document, the sections of the transcripts with the questions related to each team were copied and pasted into a document organized by the participants’ alphabetical identifiers. Each team was responsible for coding and analyzing the responses to their respective questions from the interviews. Coding and Analysis The first, second, third, and fourth authors served as coding team members. The fifth author conducted the interviews as part of the larger study and assisted with writing sections of the methodology only. The demographics of the coding team were as follows. Team member ages ranged from mid-30s to 40s. All four identified as White cisgender females. Two of the coding team members were employed as full-time counselor educators, one identified as an administrator and counselor educator, and one coding team member was completing doctoral training as a counselor educator. Two participants had worked in doctoral counselor education programs, and two had not. We have served on both sides of the faculty–administrator relationship. These differences in backgrounds allowed for both etic and emic positioning pertinent to the topic of working with administrators to start and sustain doctoral programs in CES. Because of the nature of both insider (emic) and outsider (etic) perspectives, the authors used a memo system when coding the manuscripts. This memo system involved three components. First, we created a blank memo every time a transcript was coded. Second, each time an interviewee’s transcribed response provoked some response within one of us, we raised it to the group and reflected on our individual experience. This response was documented in a memo. Third, one of us took notes to bracket any biases that might have been present. Identified biases often stemmed from our own experiences as faculty members talking to administrators, our service in an administrative role, or our own personal experiences developing doctoral programs. This occurred during joint coding team meetings and individual coding meetings once the open coding had been solidified into a set of codes. The memos were kept in a shared, encrypted, electronic folder for later review. The following steps were followed by the coding team in the current study to ensure trustworthiness of analysis. The four coding teammembers jointly coded the first three participant transcripts to gain consensus. Following this open coding process, the second author condensed the open codes for the next phase of analysis. The coding teammembers then reached consensus on the condensed codes. Following agreement, we used the condensed codes to continue the coding process for the next two transcripts in joint coding meetings. This process allowed for discussion to assist with consistent understanding of the codes across the team. Following the joint open coding of the fifth transcript, the remaining 10 transcripts were assigned to one of us for open coding to be completed independently. After the open coding process was completed, the fourth author proposed a framework of the emerging themes. She examined the open codes and considered discussions that emerged throughout the team process to identify the emergent themes from the data. Open codes were only included in the analysis if they emerged in at least four transcripts, which resulted in the removal of three codes from the final results. All teammembers reached consensus for the themes that were originally identified by the fourth author.
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