Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Gareniskās uzticamības analīze× | Gareniskā vienumu analīze× | |
|---|---|---|
| Nozare | Psihometrija | Psihometrija |
| Saime | Latent structure | Latent structure |
| Izcelsmes gads≠ | 1951–1979 | 1990s–2000s |
| Autors≠ | Paul B. Baltes, John R. Nesselroade, Lee J. Cronbach (foundational contributors) | Vandenberg, Lance, Meade and colleagues in organizational/educational measurement |
| Tips≠ | Reliability assessment | Item-level longitudinal diagnostic |
| Pirmavots≠ | Baltes, P. B., & Nesselroade, J. R. (1979). History and rationale of longitudinal research. In J. R. Nesselroade & P. B. Baltes (Eds.), Longitudinal research in the study of behavior and development (pp. 1–39). Academic Press. link ↗ | Meade, A. W., Johnson, E. C. & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568–592. DOI ↗ |
| Citi nosaukumi | repeated-measures reliability, longitudinal consistency assessment, temporal reliability analysis, reliability over time | LIA, repeated-measures item analysis, longitudinal item calibration, item parameter stability analysis |
| Saistītās≠ | 4 | 6 |
| Kopsavilkums≠ | Longitudinal reliability analysis evaluates the consistency and stability of measurement instruments across two or more time points. It extends classical reliability concepts — internal consistency, test-retest stability, and measurement precision — to repeated-measures designs, ensuring that observed score changes reflect true change rather than measurement error. | Longitudinal item analysis examines how the statistical properties of individual scale items — difficulty, discrimination, factor loadings, and fit — remain stable or change systematically across repeated measurement occasions. It is the item-level foundation of longitudinal measurement validity. |
| ScholarGateDatu kopa ↗ |
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