Data analysis

Content analysis was designed to investigate and categorize the recorded content systematically [15], appropriate for in-depth analysis of adult men’s perception of cervical cancer. While all researchers repeatedly read transcripts and listen to the recording, they were extracting meaningful sentences, collecting similar content and categorizing them several times. In this process, they shared thoughts about the category, compared the sentences in the same category, deleted the semantically confusing categories, and created new categories. In this study, the researchers deliberated until more than six opinion and agreement exchanges took place. The meaning of each theme and subtopic was clearly generated by a continuous analysis, and themes and subtopics were named by researchers. Finally, three themes and nine subtopics were derived from our data.

The data of this study are based on the criterion of Guba and Lincoln [20]. For the rigor of this study, we examined the interview contents and research results through member checking of participants, reviewing and discussing with researchers. The understanding of the research and the assumptions and prejudices of the researchers were recorded in the reflection diary, and it was used as reflective data during the data collection and analysis period.