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ERIC Number: EJ968090
Record Type: Journal
Publication Date: 2012-Jun
Pages: 24
Abstractor: As Provided
Reference Count: 41
ISSN: ISSN-0013-1644
Testing Measurement Invariance Using MIMIC: Likelihood Ratio Test with a Critical Value Adjustment
Kim, Eun Sook; Yoon, Myeongsun; Lee, Taehun
Educational and Psychological Measurement, v72 n3 p469-492 Jun 2012
Multiple-indicators multiple-causes (MIMIC) modeling is often used to test a latent group mean difference while assuming the equivalence of factor loadings and intercepts over groups. However, this study demonstrated that MIMIC was insensitive to the presence of factor loading noninvariance, which implies that factor loading invariance should be tested through other measurement invariance testing techniques. MIMIC modeling is also used for measurement invariance testing by allowing a direct path from a grouping covariate to each observed variable. This simulation study with both continuous and categorical variables investigated the performance of MIMIC in detecting noninvariant variables under various study conditions and showed that the likelihood ratio test of MIMIC with Oort adjustment not only controlled Type I error rates below the nominal level but also maintained high power across study conditions. (Contains 2 figures and 4 tables.)
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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