Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Факторний аналіз× | Метод репертуарних ґраток× | Тематичний аналіз× | |
|---|---|---|---|
| Галузь≠ | Статистика досліджень | Психологія | Якісні дослідження |
| Родина≠ | Process / pipeline | Hypothesis test | Process / pipeline |
| Рік появи≠ | 1931 | 1955 | 2006 |
| Автор методу≠ | Louis Leon Thurstone | George Kelly | Virginia Braun and Victoria Clarke |
| Тип≠ | Method | Qualitative-quantitative hybrid | Method |
| Основоположне джерело≠ | Thurstone, L. L. (1947). Multiple Factor Analysis. University of Chicago Press. DOI ↗ | Kelly, G. A. (1955). The psychology of personal constructs. Norton. link ↗ | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Інші назви≠ | EFA, CFA, latent variable modeling | Rep Grid, Repertory Grid Test, Kelly Grid | TA, Reflexive Thematic Analysis |
| Пов'язані≠ | 3 | 1 | 3 |
| Підсумок≠ | Factor analysis is a statistical technique for identifying latent (unobserved) dimensions underlying observed variables, developed by Louis Leon Thurstone in the 1930s and formalized by Jöreskog (1969). Exploratory factor analysis (EFA) discovers unknown factor structure from data; confirmatory factor analysis (CFA) tests hypothesized relationships between observed and latent variables. Essential in psychometrics (test development), organizational research (measuring constructs like leadership style), and biomedicine (identifying disease subtypes), factor analysis reduces dimensionality while revealing conceptual organization in multivariate data. | 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. |
| ScholarGateНабір даних ↗ |
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