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Titolo:
LONGITUDINAL MEASUREMENT MODELS IN EVALUATION RESEARCH - EXAMINING STABILITY AND CHANGE
Autore:
PITTS SC; WEST SG; TEIN JY;
Indirizzi:
ARIZONA STATE UNIV,DEPT PSYCHOL,BOX 87-1104 TEMPE AZ 85287
Titolo Testata:
Evaluation and program planning
fascicolo: 4, volume: 19, anno: 1996,
pagine: 333 - 350
SICI:
0149-7189(1996)19:4<333:LMMIER>2.0.ZU;2-2
Fonte:
ISI
Lingua:
ENG
Soggetto:
CONFIRMATORY FACTOR-ANALYSIS; MEASUREMENT INVARIANCE; FIT INDEXES; COVARIANCE; EQUIVALENCE; GOODNESS; CHILDREN; TESTS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
48
Recensione:
Indirizzi per estratti:
Citazione:
S.C. Pitts et al., "LONGITUDINAL MEASUREMENT MODELS IN EVALUATION RESEARCH - EXAMINING STABILITY AND CHANGE", Evaluation and program planning, 19(4), 1996, pp. 333-350

Abstract

This article provides an introduction to the use of Confirmatory Factor Analysis to test measurement invariance and stability in longitudinal research. The approach is illustrated through examples representing: (a) one construct, two measurement waves; (b) one construct, three waves; (c) two constructs, two waves; and (d) comparison of treatment and control groups in pre-post designs. Basic issues in establishing measurement invariance over time, across treatment groups, and within measurement waves are discussed. Estimates of the stability coefficientsthat are corrected for measurement error and method variance associated with each specific measured variable are provided. Establishing measurement invariance is a critical requirement for making inferences about treatment effects and changes in constructs overtime. Copyright (C) 1996 Elsevier Science Ltd

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/11/20 alle ore 06:09:09