Qualitative: Before you Start
​Topic 3: Data Analysis
Analysis happens in the context of your research questions. Statistical analyses are performed to address the research questions. Qualitative analysis is undertaken with the conceptual framework in mind.
For a qualitative study, analysis reveals the themes that are found in the data. For a quantitative study, statistical analyses are performed.
 
The questions to ask yourself before you get started with analysis:
  • Qualitative Data Analysis
    • How do I organize my data?
    • What is my research question?
      • What is my unit of analysis?
    • What approach to coding should I take?
      • Open/inductive
      • A priori/deductive
      • A bit of both
    • How do I code and find themes in my data? (open, axial)
    • How should I analyze my data? What tool(s)/mechanism should I use?
    • Should I use data analysis software? (NOTE: If it’s your first time doing qualitative data analysis, think carefully about whether you want to use software. There is a steep learning curve. Some require you to pay and others are free.)
      • Dedoose
      • Atlas.ti
      • NVivo
      • MaxQDA
      • QDA Miner (lite is a free version vs. Full)
      • Web-based survey administration software (i.e., Qualtrics)
    • What are some strategies to use to THINK? (strategies for thinking are individual – meditation, retreat, conversation; Corbin and Strauss’ questions to ask of your data, conceptual mapping, brainstorming)
    • What are some strategies to ensure I’m making correct assertions/interpretations? (Member checking, peer review, use of numbers; How do I honor the perspectives of our research participants?)
    • How much time will I need for analysis? Is it normal to feel frustrated?
      • Iterative process
      • Saturation
      • Plan for a 1:2 – 1 hr. of data collection = AT LEAST 1 hr. of analysis