Content analysis

    Cards (21)

    • What is content analysis similar to?
      Observational study
    • How does content analysis gather data?
      Through indirect observations of artefacts
    • What are examples of artefacts in content analysis?
      Conversations, letters, media
    • What is the purpose of content analysis?
      To analyze qualitative data collected from interviews
    • What does coding in content analysis do?
      Turns qualitative data into quantitative data
    • What is the first step in coding qualitative data?
      Read through the artefacts for themes
    • What should researchers create to categorize themes?
      A checklist
    • What is the purpose of tallying in content analysis?
      To count occurrences of categories
    • What are the strengths of content analysis using coding?
      • High ecological validity
      • Findings can be replicated and tested for reliability
      • Allows qualitative data analysis and conclusions
      • Enables statistical testing
    • Why is observer bias a problem in content analysis?
      It reduces objectivity and validity of findings
    • How can cultural bias affect content analysis?
      It influences interpretation based on language and culture
    • What is a drawback of converting qualitative data into quantitative data?
      Loss of in-depth information
    • What is thematic analysis used for?
      Finding themes within qualitative data
    • How does thematic analysis organize data?
      By identifying key themes and categories
    • What is the first step in thematic analysis of interview transcripts?
      Read transcripts to understand communicated meaning
    • How are raw themes identified in thematic analysis?
      By writing each theme on a card
    • What should be done after grouping themes in thematic analysis?
      Check emergent themes against original data
    • What is produced at the end of thematic analysis?
      A summary table of key themes
    • What are the strengths of thematic analysis?
      • High ecological validity
      • Findings can be replicated and tested for reliability
      • Identifies key themes for data organization
    • How does observer bias affect thematic analysis?
      It reduces objectivity and validity of findings
    • Why is cultural bias a concern in thematic analysis?
      It affects interpretation based on language and culture
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