Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Faktoru analīze× | Tematiskā analīze× | |
|---|---|---|
| Nozare≠ | Pētniecības statistika | Kvalitatīvie pētījumi |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1931 | 2006 |
| Autors≠ | Louis Leon Thurstone | Virginia Braun and Victoria Clarke |
| Tips | Method | Method |
| Pirmavots≠ | 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 ↗ |
| Citi nosaukumi≠ | EFA, CFA, latent variable modeling | TA, Reflexive Thematic Analysis |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | 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. |
| ScholarGateDatu kopa ↗ |
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