Data analysis
A content analysis was performed, according to the con- stant comparison method [19]. With this method, themes in views emerged inductively from the transcripts and di- lemmas based on differences between views emerged de- ductively through constant comparison. The first author [JvB] analysed all data. The first step was ‘open coding’; relevant passages were selected and coded, with often de- scriptions used by the participants (i.e. ‘descriptive codes’) [20]. Next, emerging and overarching themes (i.e. ‘analytic codes’) were identified among the codes, which best char- acterised the data collected. Throughout the analysis process, the codes and themes were constantly compared to the rest of the data. The research team consisted of several investigators [JvB, AM, RJ, CB, KP, AvdB], who all reflected on the research process (investigator tri- angulation) and reviewed and explored scientific and organizational aspects of this study during meetings (peer debriefing). Data analysis performed by the first author [JvB] was discussed with the second author [AM], to warrant accuracy (confirmability).
Data analysisA content analysis was performed, according to the con- stant comparison method [19]. With this method, themes in views emerged inductively from the transcripts and di- lemmas based on differences between views emerged de- ductively through constant comparison. The first author [JvB] analysed all data. The first step was 'open coding'; relevant passages were selected and coded, with often de- scriptions used by the participants (i.e. 'descriptive codes') [20]. Next, emerging and overarching themes (i.e. 'analytic codes') were identified among the codes, which best char- acterised the data collected. Throughout the analysis process, the codes and themes were constantly compared to the rest of the data. The research team consisted of several investigators [JvB, AM, RJ, CB, KP, AvdB], who all reflected on the research process (investigator tri- angulation) and reviewed and explored scientific and organizational aspects of this study during meetings (peer debriefing). Data analysis performed by the first author [JvB] was discussed with the second author [AM], to warrant accuracy (confirmability).
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Data Analysis
Analysis was performed A content, according to the con- stant comparison method [19]. With this method, themes in views emerged inductively from the transcripts and di- lemmas based on differences between views emerged de- ductively through constant comparison. The first author [JvB] analysed all data. The first step was 'open coding'; relevant passages were selected and coded, with often de- scriptions used by the participants (ie 'descriptive codes') [20]. Next, emerging and overarching themes (ie 'analytic codes') were identified among the codes, which best char- acterised the data collected. Throughout the analysis process, the codes and themes were constantly compared to the rest of the data. The research team consisted of several investigators [JvB, AM, RJ, CB, KP, AvdB], who all reflected on the research process (investigator tri- angulation) and reviewed and explored scientific and organizational aspects of this study during meetings (peer debriefing. ). Data analysis performed by the first author [JvB] was discussed with the second author [AM], to warrant accuracy (confirmability).
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