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ERIC Number: EJ1109012
Record Type: Journal
Publication Date: 2016-Jun
Pages: 19
Abstractor: As Provided
ISSN: ISSN-1759-2879
Parameter Accuracy in Meta-Analyses of Factor Structures
Gnambs, Timo; Staufenbiel, Thomas
Research Synthesis Methods, v7 n2 p168-186 Jun 2016
Two new methods for the meta-analysis of factor loadings are introduced and evaluated by Monte Carlo simulations. The direct method pools each factor loading individually, whereas the indirect method synthesizes correlation matrices reproduced from factor loadings. The results of the two simulations demonstrated that the accuracy of meta-analytical derived factor loadings is primarily affected by characteristics of the pooled factor structures (e.g., model error, communality) and to a lesser degree by the sample size of the primary studies and the number of included samples. The choice of the meta-analytical method had a minor impact. In general, the indirect method produced somewhat less biased estimates, particularly for small-sample studies. Thus, the indirect method presents a viable alternative for the meta-analysis of factor structures that could also address moderator hypotheses.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A