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Titolo:
Applications of structural equation modeling in psychological research
Autore:
MacCallum, RC; Austin, JT;
Indirizzi:
Ohio State Univ, Dept Psychol, Columbus, OH 43210 USA Ohio State Univ Columbus OH USA 43210 ept Psychol, Columbus, OH 43210 USA
Titolo Testata:
ANNUAL REVIEW OF PSYCHOLOGY
, volume: 51, anno: 2000,
pagine: 201 - 226
SICI:
0066-4308(2000)51:<201:AOSEMI>2.0.ZU;2-I
Fonte:
ISI
Lingua:
ENG
Soggetto:
COVARIANCE STRUCTURE-ANALYSIS; CONFIRMATORY FACTOR-ANALYSIS; MULTITRAIT-MULTIMETHOD MATRIX; NEO-PERSONALITY-INVENTORY; MEASUREMENT INVARIANCE; LATENT-VARIABLES; SAMPLE-SIZE; EQUIVALENT MODELS; CAUSAL-MODELS; SELF-EFFICACY;
Keywords:
structural equation models; covariance structures; LISREL;
Tipo documento:
Review
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Life Sciences
Citazioni:
130
Recensione:
Indirizzi per estratti:
Indirizzo: MacCallum, RC Ohio State Univ, Dept Psychol, 142 Townshend Ha1l, Columbus,OH 43210 USA Ohio State Univ 142 Townshend Ha1l Columbus OH USA 43210 USA
Citazione:
R.C. MacCallum e J.T. Austin, "Applications of structural equation modeling in psychological research", ANN R PSYCH, 51, 2000, pp. 201-226

Abstract

This chapter presents a review of applications of structural equation modeling (SEM) published in psychological research journals in recent years. Wefocus first on the variety of research designs and substantive issues to which SEM can be applied productively. We then discuss a number of methodological problems and issues of concern that characterize some of this literature. Although it is cleat that SEM is a powerful tool that is being used togreat benefit in psychological research, it is also clear that the appliedSEM literature is characterized by some chronic problems and that this literature can be considerably improved by greater attention to these issues.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 30/11/20 alle ore 19:20:16