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.