Diekelmann and Ironside (
15) outlined a seven-step data analysis process for the phenomenological studies. Regarding the individualistic nature of hermeneutic phenomenology, each interview was read separately, and the meaning(s) were then extracted (
16). To this end, after transcribing each interview, a hard copy of the transcript was provided and then read several times to reach an appropriate overall impression. Then, those parts, which seemed to be important and reflect the participants' experiences, were underlined, and the researchers' comments on their experiences were written down in the margins. After reaching a comprehensive understanding of the interview data, the underlined parts were coded, and the themes were extracted. At this stage, the themes represented the participants' words and thoughts and the researchers' interpretations. Following the paper analysis, the interview texts were imported into the computer, and the codes were written as comments in the margin of the text. When the preliminary codes were detected, a four-column table was drawn. Starting on the far left, there were the participants' experiences, extracted codes, sub-themes, and the main themes in the first, second, third, and fourth columns, respectively. Next, similar codes were written together in one column, and a sub-theme reflecting the contents of the text and the corresponding codes was then developed for each column. Finally, the similar sub-themes were merged, and a theme was introduced. After detecting the extracted themes, an interpretive summary, which reflected the extracted themes, was written down for each interview to be used in this study. Descriptive statistics (i.e., frequency, percentage, mean, median, standard deviation, minimum, and maximum) were used to describe the data by using SPSS software version 22.