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A qualitative data analysis using the immersion/crystallization technique [ 8, 9] was used to examine the interview transcripts.
Thematic analysis was used to examine the interview transcripts in relation to factors that contribute to positive, negative or neutral trajectories.
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Analysis of the data commenced with examining the interview transcripts and the interviewer notes.
As a first step, two researchers (DB and SB) independently examined the interview transcripts to identify issues and concepts apparent in the data.
The validity of the themes and meanings in this study are strengthened as both researchers independently examined the interview data for themes and meanings for each question and then corroborated the evidence for the presented themes and meanings.
Triangulation consisted of 1) examining the interview data through the lens of "effect on self-efficacy", 2) corroborating qualitative findings with quantitative data, and 3) interrogating how the Diabetes Online Companion affected self-efficacy [ 46].
Comparing the results of these studies has allowed us to examine the effect that the interview setting had on data quality and on perceived levels of respondent effort and understanding.
The interviewer examined the 12 interviews to determine whether content saturation had been achieved.
Linear regression was conducted to examine the overall effects of interview condition, recall interviewer and time between feedback and recall interview.
The second aim was to examine whether the interview and computer TTO were able to discriminate between worse and better patient-reported health outcomes.
Individual faculty receive and examine the résumés, do the interviews, and decide who to hire".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com