Q Methodology
Q methodology is a combination of conceptual framework, technique of data collection, and method of analysis that collectively provides the basis for the scientific study of subjectivity. This is distinguished from R methodology, which provides the basis for the study of what is objective in human behavior. Innovated in the mid-1930s by British physicist–psychologist William Stephenson, Q methodology focuses on opinions and perspectives that are gathered using the well-known Q-sort technique. These data are then submitted to factor analysis, pioneered by Stephenson's mentor Charles Spearman, which reveals the segmentation of subjectivity inherent in the substantive domain under consideration. Given the ubiquity of subjectivity, Q methodology applies to all areas of human endeavor—social attitudes, decision making, administration, the arts and humanities, cultural values, policy, economics, education, ...
Looks like you do not have access to this content.
Reader's Guide
Descriptive Statistics
Distributions
Graphical Displays of Data
Hypothesis Testing
Important Publications
Inferential Statistics
Item Response Theory
Mathematical Concepts
Measurement Concepts
Organizations
Publishing
Qualitative Research
Reliability of Scores
Research Design Concepts
Research Designs
Research Ethics
Research Process
Research Validity Issues
Sampling
Scaling
Software Applications
Statistical Assumptions
Statistical Concepts
Statistical Procedures
Statistical Tests
Theories, Laws, and Principles
Types of Variables
Validity of Scores
- All
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z