PR GEW

• PATTERN: is something that happens in a regular and repeated way.
• THEME: is generated when similar issues and ideas expressed by participants within qualitative data are brought together by the researcher into a single category or cluster.
• Two Strategies: Thematic analysis and Qualitative data analysis
• Familiarization with the data: This phase involves reading and re-reading the data, to become immersed and intimately familiar with its content.
• Coding: It involves generating succinct labels (codes) that identify important features of the data that might be relevant to answering the research questions.
• Searching for Themes: Involves examining the codes and collated data to identify significant broader patterns of meaning (potential themes). It then involves collating data relevant to each candidate theme, so that you can work with the data and review the viability of each candidate theme.
• Reviewing Themes: Involves checking the candidate themes against the data set, to determine if they tell a convincing story of the data, and one that answers the research question.
• Defining and Naming Themes: Involves developing a detailed analysis of each theme, working out the scope and focus of each theme, determining the "story" of each. It also involves deciding on an informative name for each theme.
• Writing Up: It weaving together the analytic narrative data and extracts and conceptualizing the analysis in relation to existing literature.