Testing measurement invariance using MIMIC: Likelihood ratio test with a critical value adjustment

ES Kim, M Yoon, T Lee - Educational and Psychological …, 2012 - journals.sagepub.com
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 …
被引用次数：117 相关文章

Testing measurement invariance using MIMIC: Likelihood ratio test with a critical value adjustment.

ES Kim, M Yoon, T Lee - Educational and Psychological …, 2012 - psycnet.apa.org
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 …

[引用][C] Testing Measurement Invariance Using MIMIC: Likelihood Ratio Test With a Critical Value Adjustment

EUNS KIM, M YOON, T LEE - Educational and psychological …, 2012 - pascal-francis.inist.fr
Testing Measurement Invariance Using MIMIC: Likelihood Ratio Test With a Critical Value
Adjustment CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases …

Testing Measurement Invariance Using MIMIC: Likelihood Ratio Test With a Critical Value Adjustment

ES Kim, M Yoon, T Lee - EDUCATIONAL AND …, 2012 - scholarworks.bwise.kr
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 …

Testing Measurement Invariance Using MIMIC: Likelihood Ratio Test With a Critical Value Adjustment.

ES Kim, M Yoon, T Lee - Educational & Psychological …, 2012 - search.ebscohost.com
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 …

Testing Measurement Invariance Using MIMIC: Likelihood Ratio Test with a Critical Value Adjustment.

ES Kim, M Yoon, T Lee - Educational and Psychological Measurement, 2012 - ERIC
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 …