ScholarGate
Assistente

Confronta i metodi

Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.

Analisi di Affidabilità Longitudinale×Analisi Longitudinale degli Item×
CampoPsicometriaPsicometria
FamigliaLatent structureLatent structure
Anno di origine1951–19791990s–2000s
IdeatorePaul B. Baltes, John R. Nesselroade, Lee J. Cronbach (foundational contributors)Vandenberg, Lance, Meade and colleagues in organizational/educational measurement
TipoReliability assessmentItem-level longitudinal diagnostic
Fonte seminaleBaltes, 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 ↗
Aliasrepeated-measures reliability, longitudinal consistency assessment, temporal reliability analysis, reliability over timeLIA, repeated-measures item analysis, longitudinal item calibration, item parameter stability analysis
Correlati46
SintesiLongitudinal 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.
ScholarGateInsieme di dati
  1. v1
  2. 2 Fonti
  3. PUBLISHED
  1. v1
  2. 2 Fonti
  3. PUBLISHED

Vai alla ricerca Scarica le diapositive

ScholarGateConfronta i metodi: Longitudinal Reliability Analysis · Longitudinal Item Analysis. Consultato il 2026-06-17 da https://scholargate.app/it/compare