Exact(5)
Data across the whole set as well as within each individual interview were examined.
Codes in each interview were examined across individual transcripts and the entire data set and allocated to the framework.
Codes in each interview were examined across individual transcripts as well as across the entire data set and allocated to the framework.
Gender-adjusted differences in the growth measures for those that did and did not attend the psychosis-like symptoms interview were examined with linear regression models.
Numerous covariates from the baseline interview were examined as potential confounders, including demographics, reproductive history, body mass index (BMI), and other lifestyle factors (caffeine and alcohol consumption, physical activity).
Similar(55)
Qualitative data such as case reports and interviews were examined using thematic analyses.
Transcriptions of interviews were examined for themes that emerged regarding student views on SE.
The themes from the qualitative in-depth interviews were examined using Ruiz et al.'s [16] service value model, and helped understand how the components of the model were suitable in different services context.
For the larger project, the digital stories as well as student work, and interviews were examined to identify the themes and patterns that emerged across these texts (See Staley, 2017).
Interviews were examined for themes and patterns to elucidate participant experience and motivation with IPC.
The interviews were examined using content analysis [ 14].
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