Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Korelatīvās faktoru analīzes (KFA)× | Diferenciālās pozīcijas analīze (DIF)× | |
|---|---|---|
| Nozare≠ | Statistika | Psihometrija |
| Saime | Latent structure | Latent structure |
| Izcelsmes gads≠ | 1969 | 1988 |
| Autors≠ | Karl Jöreskog | Paul W. Holland & Dorothy T. Thayer (Mantel-Haenszel approach, 1988) |
| Tips≠ | Confirmatory latent variable model | Item-level fairness / measurement equivalence analysis |
| Pirmavots≠ | Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363 | Holland, P. W. & Thayer, D. T. (1988). Differential Item Performance and the Mantel-Haenszel Procedure. ETS Research Report Series. link ↗ |
| Citi nosaukumi≠ | Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model | Madde Yanlılık Analizi (DIF — Differential Item Functioning), item bias analysis, Mantel-Haenszel DIF, Lord chi-square DIF |
| Saistītās | 4 | 4 |
| Kopsavilkums≠ | 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. | Differential Item Functioning analysis examines whether examinees from different groups — such as gender, ethnicity, or language background — who have the same underlying ability respond differently to a test item. First formalised by Holland and Thayer in 1988 via the Mantel-Haenszel procedure, it is the principal tool in modern test development for detecting and removing item bias. |
| ScholarGateDatu kopa ↗ |
|
|