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Template analysis using themes from a study of rural medical registrars was used to analyse 103 scripts.
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The results that emerged from data analysis using the equality algorithm indicate a high number of matched answers during authentication for academic, personal and date themes.
Further, themes derived from the open responses were further summarized using textual analysis using information retrieval techniques (see Figs. 1, 2 and 3).
The thematic analysis involved using the themes generated from our acceptability systematic review [ 17] as a starting point for coding, but with the additional option of coding words and paragraphs as new codes (nodes) should novel data emerge [ 50].
The data from the IAW were coded using the themes from the qualitative data analysis along with additional new themes which emerged.
An iterative approach to data collection and analysis was used, with themes and issues emerging from early interviews explored further in later interviews.
Using a qualitative data analysis approach, emergent themes from the data included i) traditions of resource-based industry congruent with producing and burning forest-based renewable fuels, ii) historical linkages to a strong entrepreneurial ethic, iii) community members' recognition of AG Ss multifaceted role in the community and iv) strong community spirit and desire to fight for their town.
Thematic analysis was used to identify themes from the large amount of questions collected from which research questions were developed using PICO framework (Population, Intervention, Comparator, Outcome).
Thematic analysis was used to extract themes from the focus group data.
Qualitative analysis was used to extract themes from interview content.
Content analysis was used to identify themes from the free text questions on the student survey.
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