Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Gareniskā vienumu analīze× | Garumskaalu mērījumu nemainības testēšana× | |
|---|---|---|
| Nozare | Psihometrija | Psihometrija |
| Saime | Latent structure | Latent structure |
| Izcelsmes gads≠ | 1990s–2000s | 1993 |
| Autors≠ | Vandenberg, Lance, Meade and colleagues in organizational/educational measurement | William Meredith |
| Tips≠ | Item-level longitudinal diagnostic | Measurement model testing |
| Pirmavots≠ | 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 ↗ | Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58(4), 525–543. DOI ↗ |
| Citi nosaukumi | LIA, repeated-measures item analysis, longitudinal item calibration, item parameter stability analysis | LMI, longitudinal invariance, measurement equivalence across time, temporal measurement invariance |
| Saistītās≠ | 6 | 3 |
| Kopsavilkums≠ | 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. | 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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