1. Analyzing Qualitative Data
Based on the book Educational Research by Johnson and Christensen (2013).

2. Basic Definitions
Interim Analysis
Memoing
Coding
Enumeration

3. Interim Analysis Cyclical process of collecting and analyzing data
Often need for more data felt when available data analyzed
The cycle continues until no significant insights gained

4. Memoing
Reflectives notes about what you are learning from your data analysis
Diary or post-it-notes
Very useful as memory lapse is certain to happen over the course of time

5. Coding Qualitative Data
Read transcribed data and divide into meaningful analytic units
This unit can be a sentence, a paragraph etc.
These units are marked with symbols, signs, descriptive words, or category names

6. Saturateapp is one example
of free/cheap online resources that helps you organize this process

8. Hierarchical Categorization

9. Typologies (Categorization on two axis)

10. Enumeration Process of quantifying data
Example: how many times the word ”inflation” occured in the speech of the prime minister
How a certain word or phrase (inflation) likely to co-occur with certain other word (unemployment)

11. Reliability of qualitative data analysis
Training for coding
Intracoder (same coder, coding same text at different times)
Inercoder
Reported as % agreements
Differences resolved by discussion

12. Validity of qualitative data analysis
Verbatim are low inference descriptors
Traingulation
Sources: Corss check information with other sources,
Methods: interview versus observation
Data: from other studies
Theory: multiple theories for interpretation
Participant feedback – ask: ”does this sound right”?
Peer review
Negative case sampling
Show what you did for increasing your own self awareness, reflexivity e