Data analysis

• Results and Discussion

  • The fourth chapter in research.
  • Presents the results of the study by answering all the questions found in Chapter 1.
  • Analysis and interpretation are steps involved in data analysis.
• Data Analysis

  • Process of breaking complex concept into its understandable parts.
  • The researcher has to organize the data and start the transcription.
  • One way to analyze a qualitative data is to use data reduction technique.
• Familiarization with the data

  • Includes transcribing the data.
  • Involves reading several times the data.
• Coding - involves generating labels (codes) that identify important features of the data that might be relevant to answering the research question.
• Generating themes - involves examining the codes and collated data to identify significant patterns of meaning.

  • Pattern - something that happens in a regular and repeated way.
  • Theme - generated when similar issues and ideas expressed by the participants.
• Reviewing themes - checking the candidate themes against the data set to determine if they tell a convincing story of the data.
• Defining and naming themes

  • Involves developing a detailed analysis of each theme.
  • Generating clear definitions and suitable names for each theme.
• Writing up - the final phase involves weaving together the analytic narrative data and extracts and contextualize the analysis in relation to existing literature.