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Steps to Data Analysis

Data Sample 1

Data sample 2

Research Question: (what you want to have answered by the end of your analysis) –What does it mean to write for a living?

  1. STEP ONE: IDENTIFYING THEMES/CODES

2. STEP TWO: Asking questions to track where you are as the researcher in the project. (what surprised, intrigued, disturbed):

Quick data analysis:

  1. What surprised me? (Tracking assumptions): This question helps you keep track of your assumptions throughout the research process. When you ask yourself this question regularly, you’ll articulate your preconceived notions about this project and also record how they change.
  2. What intrigued me? (Tracking positions) Asking this question makes you aware of your personal stances in relationship to your research topic. What interests and attracts you about your project will always influence what you record and how you write about it?
  3. What disturbed me? (tracking tensions) This question exposes yourself to yourself. It requires honesty about your blind spots, stereotypes, prejudices and the things you find upsetting, no matter how small.

3. STEP 3: THINKING ABOUT SIGNIFICANCE (such as revelance to existing literature–this is where course readings might come in [Brandt, Lanham, Gregg, Nakamura])

4. STEP 4: MAKING CLAIMS

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