the data collection process commenced, the researcher was responsible for documenting participants’ experiences, analysing the data and, most importantly, making sense of the large amount of data collected. Thus, the thematic analysis based on the grounded theory approach proposed by Ritchie and Spencer (1994) was helpful in providing a sequential structure for data analysis. The approach below describes the process of the analysis however, it simplified the complexity of the process and possibly given an artificial sense of order when in practice the process was very much iterative. 1-Familiarization: Listening to recordings; transcribing verbatim; translating and reading and re-reading through all data. This helped in terms of gaining a holistic overview of the dataset and being familiar with the range, depth and diversity of the collected data. 2- Descriptive coding: The computer-assisted qualitative data analysis software 10 was used for transcription and coding, which increased the efficiency of data organisation and retrieval. The researcher and the main supervisor read the same transcript and agreed on an initial coding frame which was then applied to other transcripts, with the flexibility to enable other codes to be added. 3-Basic analysis: At this emerging themes were found, along with subthemes. Data was removed from its original context and rearranged according to the appropriate thematic orientation. An example of a derived theme is given in Appendix 20. 4-Interpretation:
the data collection process commenced, the researcher was responsible for documenting participants’ experiences, analysing the data and, most importantly, making sense of the large amount of data collected. Thus, the thematic analysis based on the grounded theory approach proposed by Ritchie and Spencer (1994) was helpful in providing a sequential structure for data analysis. The approach below describes the process of the analysis however, it simplified the complexity of the process and possibly given an artificial sense of order when in practice the process was very much iterative. 1-Familiarization: Listening to recordings; transcribing verbatim; translating and reading and re-reading through all data. This helped in terms of gaining a holistic overview of the dataset and being familiar with the range, depth and diversity of the collected data. 2- Descriptive coding: The computer-assisted qualitative data analysis software 10 was used for transcription and coding, which increased the efficiency of data organisation and retrieval. The researcher and the main supervisor read the same transcript and agreed on an initial coding frame which was then applied to other transcripts, with the flexibility to enable other codes to be added. 3-Basic analysis: At this emerging themes were found, along with subthemes. Data was removed from its original context and rearranged according to the appropriate thematic orientation. An example of a derived theme is given in Appendix 20. 4-Interpretation:
N%20Abouammoh%20Thesis.docx