Порівняння методів

	Q-методологія	Метод репертуарних ґраток	Тематичний аналіз
Галузь	Психологія	Психологія	Якісні дослідження
Родина	Hypothesis test	Hypothesis test	Process / pipeline
Рік появи	1935	1955	2006
Автор методу	William Stephenson	George Kelly	Virginia Braun and Victoria Clarke
Тип	Q-sort ranking technique	Qualitative-quantitative hybrid	Method
Основоположне джерело	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.
Інші назви	Q-Sort, Q-Technique	Rep Grid, Repertory Grid Test, Kelly Grid	TA, Reflexive Thematic Analysis
Пов'язані	3	1	3
Підсумок	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.