Data Analysis & Interpretation

Question 1

Qualitative Data Analysis Continuum

Answer 1

Thematic Analysis: Highly inductive type of analysis; themes emerge from the data.
Comparative Analysis: Compare and contrast data from different people until satisfaction is reached.
Content Analysis: Systematic coding of transcripts to quantify answers.
Discourse Analysis: Analyze speech patterns and conversational structures.

Question 2

Data Analysis Process

Answer 2

Raw Data (transcripts, field notes, images, etc.)
Organizing and Preparing Data for Analysis
Reading Through All Data
Coding the Data (hand or computer)
Interrelating Themes/Descriptions (e.g., grounded theory, case study)
Interpreting the Meaning of Themes/Descriptions
Validating the accuracy of the information

Question 3

What Are Codes?

Answer 3

Word or short phrase representing key attributes of narrative/verbal information
Used to codify or categorize data
Attribute code vs. Substantive code
Characteristics: all inclusive and mutually exclusive
Organizes data into “chunks”

Question 4

What is a Code Structure?

Answer 4

Compilation of emerging codes with definitions/properties
Guidance for code usage
Evolves throughout the analysis

Question 5

Coding Guide for Quantitative Research (Survey)

Answer 5

Start List Method: Preliminary framework with initial codes from expertise, inquiry topic, or literature.
An Integrated Approach: Retain inductive coding benefits while developing useful code types.

Question 6

Coding is an Iterative Process

Answer 6

Create initial codes and properties
Negotiate and revise codes through multiple transcripts
Finalize code structure and apply universally