Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Факторный анализ× | Тематический анализ× | |
|---|---|---|
| Область≠ | Статистика исследований | Качественные исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1931 | 2006 |
| Автор метода≠ | Louis Leon Thurstone | Virginia Braun and Victoria Clarke |
| Тип | Method | Method |
| Основополагающий источник≠ | Thurstone, L. L. (1947). Multiple Factor Analysis. University of Chicago Press. DOI ↗ | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Другие названия≠ | EFA, CFA, latent variable modeling | TA, Reflexive Thematic Analysis |
| Связанные | 3 | 3 |
| Сводка≠ | 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. | 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. |
| ScholarGateНабор данных ↗ |
|
|