Chapter 13 - Qualitative Data Analysis

Question 1

3 Steps of Quantitative Data Analysis

Answer 1

Define measures (male/female) (picked major because of x, y, or z), Collect data
Analyze data

Question 2

Key Difference Between Data Analysis in Quantitative v Qualitative

Answer 2

Quantitative: Variables are operationalized/conceptualized before research
Qualitative: Themes are determined after or during research

Question 3

3 Steps of Qualitative Data Analysis

Answer 3

Collect data - how did you select major
Code themes
Conduct thematic analysis

Question 4

What are themes?

Answer 4

Something important about the data in relation to the research question, and represents some level of patterned response.
It is NOT about frequency or summarizing.

Question 5

Semantic Themes

Answer 5

What people say

Question 6

Latent themes

Answer 6

Underlying ideas

Question 7

Two Types of Thematic Analysis

Answer 7

Theoretical thematic analysis (with lens)

Inductive thematic analysis (with no lens)

Question 8

Methods of Qualitative Data Collection

Answer 8

Transcription: manual, optical character recognition, software
Coding: manual, software

Question 9

3 Steps to Qualitative Data Coding Process

Answer 9

Open coding (themeing) 
Axial coding (tagging)
Selecting coding (intra-coder testing)

Question 10

Open Coding

Answer 10

1st step in Coding Process

• Initial review of raw data where you search for major themes
• Must reflect on what was said / inferred

Question 11

Axial coding

Answer 11

Second stage of coding process

• tagging: applying labels to chunks of data
• label according to predetermined themes
• highlight certain pieces of text

Question 12

Questions to consider when themeing

Answer 12

What does this theme
mean?
– What are the implications
of this theme?
– What conditions likely
brought about this theme?
– Why do people talk about
this thing in this particular
way?
– What is the overall story
the different themes reveal
about this topic?

Question 13

Selective Coding

Answer 13

Stage 3 of the coding process

• Re-examine raw data, ensure data really fit with themes
• Add/delete tags as necessary
• merge themes if necessary

Question 14

Analyzing Data for Quantitative v Qualitative

Answer 14

For qualitative it’s interpretive, for quantitative it’s analyzing statistics.

Question 15

Qualitative Data Presentation

Tips, Evidence, and Ethics

Answer 15

• Don’t highlight too much or too little
• Justify conclusions that were made with examples, but not too many
  Evidence: tags, moderate amount of quotes can give evidence and examples
  Ethics: confidentiality can be hard when quoting, especially if demographic characteristics are present.