Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Gareniskās uzticamības analīze× | Garumskaalu mērījumu nemainības testēšana× | |
|---|---|---|
| Nozare | Psihometrija | Psihometrija |
| Saime | Latent structure | Latent structure |
| Izcelsmes gads≠ | 1951–1979 | 1993 |
| Autors≠ | Paul B. Baltes, John R. Nesselroade, Lee J. Cronbach (foundational contributors) | William Meredith |
| Tips≠ | Reliability assessment | Measurement model testing |
| 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 ↗ | Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58(4), 525–543. DOI ↗ |
| Citi nosaukumi | repeated-measures reliability, longitudinal consistency assessment, temporal reliability analysis, reliability over time | LMI, longitudinal invariance, measurement equivalence across time, temporal measurement invariance |
| Saistītās≠ | 4 | 3 |
| 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 measurement invariance testing determines whether a psychological scale measures the same construct in the same way across two or more time points. It is a prerequisite for interpreting mean-level change scores in panel and repeated-measures studies, ensuring that observed change reflects true change in the construct rather than drift in the measurement instrument. |
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