3.5 DATA ANALYSIS
The collected data were analyzed using a combined inductive and deductive thematic analysis technique (Elo & Kyngäs, 2008). Each transcript was read multiple times by the first author. In the first step, based on the objectives of the study and, deductive approach, the units of analysis were selected and, according to the general concepts, the meaning units were selected. The structured analysis matrix was developed based on the components of PRECEDE-PROCEED model and JD-R model in MAXQDA (10) software. Coding was done through an iterative process, considering differences and similarities, placing them in subcategories and categories. In the process of analysis, undecided texts contained meaningful codes. Despite the relevance of undecided texts and codes to the research question, they were not in any category. In inductive content analysis, concepts are obtained from data. Therefore, in the second step, an unstructured analysis matrix was created. Open coding was done for undecided texts. All remaining codes were grouped according to differences and similarities. Then new categories and subcategories were named based on the general concept of the codes of each group.
Two researchers coded the transcripts. To increase inter-rater coding reliability, the codes and themes were repeatedly discussed by the team of authors, and several themes were reviewed and only the themes that the research team had reached a consensus on were included in the results. Finally, a research psychologist in the field of qualitative studies was used to confirm the achievement of unbiased results and increase the accuracy of the categories. The research team tried not to merge their previous assumptions with the interpretations and extraction of the findings.