Sammenlign metoder

	Q-metodologi	Repertory Grid Technique	Tematisk analyse
Fagfelt	Psykologi	Psykologi	Kvalitativ forskning
Familie	Hypothesis test	Hypothesis test	Process / pipeline
Opprinnelsesår	1935	1955	2006
Opphavsperson	William Stephenson	George Kelly	Virginia Braun and Victoria Clarke
Type	Q-sort ranking technique	Qualitative-quantitative hybrid	Method
Opprinnelig kilde	Stephenson, W. (1935). Technique of factor analysis. Nature, 136(3434), 297.	Kelly, G. A. (1955). The psychology of personal constructs. Norton.	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Alias	Q-Sort, Q-Technique	Rep Grid, Repertory Grid Test, Kelly Grid	TA, Reflexive Thematic Analysis
Relaterte	3	1	3
Sammendrag	Q-Methodology is a mixed-methods approach that combines quantitative factor analysis with qualitative interpretation to identify distinct perspectives, viewpoints, or 'factors' shared by groups of people. Introduced by William Stephenson in 1935, it uses Q-sorts—where participants rank statements on a continuum—to measure subjective viewpoints systematically. The method applies factor analysis to correlations among Q-sorts (not items), revealing common patterns of opinion or attitude that transcend individual differences.	The Repertory Grid is a qualitative-quantitative method derived from Personal Construct Theory that elicits how individuals construe (interpret and evaluate) a domain of interest—people, concepts, events, or objects—through their own idiosyncratic dimensions or 'constructs.' Introduced by George Kelly in 1955, the method generates a grid of elements (e.g., people) rated along personally meaningful bipolar constructs, revealing cognitive structures, values, and reasoning patterns without imposing researcher-defined categories.	Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences.