The data were subjected to conventional content analysis using Graneheim and Lundman's method (25). Data collection and analysis were performed simultaneously. In doing so, after transcribing the interviews, they were read several times to gain an overall perception. Since qualitative research requires immersion in data, the researcher listened to the interviews several times. After that, an abstract was written for each interview and the hidden meanings were extracted. Then, important phrases were underlined, units of meaning were identified, and initial codes were extracted. Similar initial codes were organized into themes and sub-themes in the next stage, and the main themes were defined. Data analysis and categorization were conducted using the MAXQDA10 software.
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