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ERIC Number: EJ1092581
Record Type: Journal
Publication Date: 2016-Apr
Pages: 13
Abstractor: As Provided
ISSN: ISSN-0013-1644
Testing Mediation in Structural Equation Modeling: The Effectiveness of the Test of Joint Significance
Leth-Steensen, Craig; Gallitto, Elena
Educational and Psychological Measurement, v76 n2 p339-351 Apr 2016
A large number of approaches have been proposed for estimating and testing the significance of indirect effects in mediation models. In this study, four sets of Monte Carlo simulations involving full latent variable structural equation models were run in order to contrast the effectiveness of the currently popular bias-corrected bootstrapping approach with the simple test of joint significance approach. The results from these simulations demonstrate that the test of joint significance had more power than bias-corrected bootstrapping and also yielded more reasonable Type I errors.
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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