Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Koeficient spolehlivosti omega (ω) McDonaldovy× | Konfirmační faktorová analýza (CFA)× | Exploratorní faktorová analýza (EFA)× | |
|---|---|---|---|
| Obor≠ | Psychometrika | Statistika | Statistika |
| Rodina | Latent structure | Latent structure | Latent structure |
| Rok vzniku≠ | 1999 | 1969 | — |
| Tvůrce≠ | Roderick P. McDonald | Karl Jöreskog | — |
| Typ≠ | Reliability coefficient / latent variable model | Confirmatory latent variable model | Latent variable / dimension reduction |
| Původní zdroj≠ | McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830750 | Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363 | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| Další názvy≠ | omega reliability, ω coefficient, omega total, omega hierarchical | Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Příbuzné≠ | 6 | 4 | 4 |
| Shrnutí≠ | McDonald's omega is a factor-analysis-based reliability coefficient introduced by Roderick P. McDonald (1999) that quantifies the internal consistency of a composite score without requiring the restrictive assumption that all items contribute equally to the latent factor. It yields two complementary indices: ω_total, which captures overall reliability of the sum score, and ω_hierarchical (ωh), which reports how much of the composite's variance is explained specifically by a single general factor. | Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
| ScholarGateDatová sada ↗ |
|
|
|