ScholarGate
Asistenti

Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Vlefshmëria Konvergjente Shumënivëshe×Analiza Konfirmuese e Faktorëve (AKF)×
FushaPsikometriPsikometri
FamiljaLatent structureLatent structure
Viti i origjinës20051969
KrijuesiDyer, Hanges & Hall; Chen, Bliese & MathieuKarl Gustav Jöreskog
LlojiMeasurement validity evaluationHypothesis-testing latent variable model
Burimi themeluesDyer, N. G., Hanges, P. J. & Hall, R. J. (2005). Applying multilevel confirmatory factor analysis techniques to the study of leadership. Leadership Quarterly, 16(1), 149–167. DOI ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Emërtime të tjeracross-level convergent validity, multilevel measurement validity, between-level convergent validityCFA, confirmatory FA, measurement model, restricted factor analysis
Të lidhura44
PërmbledhjaMultilevel convergent validity evaluates whether items or scales intended to measure the same construct show coherent, strong associations at each level of a nested data structure — within individuals, within groups, and between groups. It extends classical convergent validity from single-level measurement models into the multilevel confirmatory factor analysis (ML-CFA) framework.Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.
ScholarGateSeti i të dhënave
  1. v1
  2. 2 Burimet
  3. PUBLISHED
  1. v1
  2. 2 Burimet
  3. PUBLISHED

Shko te kërkimi Shkarko diapozitivat

ScholarGateKrahasoni metodat: Multilevel Convergent Validity · Confirmatory factor analysis. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare