Applying Meta-Analysis to Structural Equation Modeling

Autor/in	Hedges, Larry V.
Titel	Applying Meta-Analysis to Structural Equation Modeling
Quelle	In: Research Synthesis Methods, 7 (2016) 2, S.209-214 (6 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1759-2879
DOI	10.1002/jrsm.1214
Schlagwörter	Meta Analysis; Structural Equation Models; Social Science Research; Research Methodology; Evidence; Correlation; Matrices + Suchen Sie Ihr Suchwort? Meta-analysis; Metaanalyse; Social scientific research; Sozialwissenschaftliche Forschung; Research method; Forschungsmethode; Evidenz; Korrelation; Matrizenrechnung
Abstract	Structural equation models play an important role in the social sciences. Consequently, there is an increasing use of meta-analytic methods to combine evidence from studies that estimate the parameters of structural equation models. Two approaches are used to combine evidence from structural equation models: A direct approach that combines structural coefficients and an indirect approach that first combines correlation matrices and estimates structural coefficients from the combined correlation matrix. When there is no heterogeneity across studies, direct estimates of structural coefficients from several studies is an appealing approach. Heterogeneity of correlation matrices across studies presents both practical and conceptual problems. An alternative approach to heterogeneity is suggested as an example of how to better handle heterogeneity in this context. (As Provided).
Anmerkungen	Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01