{smcl} {* *! version 1.0 25June2015} {cmd:help mint} {hline} {title:Title} {p2colset 3 12 18 12}{...} {p2col :{hi:mint }{hline 2}}{bf:M}easurement {bf:in}variance {bf:t}est{p_end} {p2colreset}{...} {title:Description} {bf:mint} examines across-groups equivalence of confirmatory factor analysis (CFA) measurement model parameters as well as testing the equality of factor means among groups. The sequence of measurement invariance followed by{bf: mint} is: 1){bf:Equal form/configural invariance} solution has the same form/ structure with the same indicators loading on the latent variables for each group. 2){bf:Equal loadings/weak invariance} solution constrains the loadings to be equal for each group. 3){bf:Equal intercepts/strong invariance} solution constrains the intercepts (+ loadings) to be equal for each group. 4){bf:Equal error variances/strict invariance} solution constrains the error variances (+ loadings and intercepts) to be equal for each group. 5){bf:Equal factor means} solution constrains the latent means (+ loadings intercepts, and error variances) to be equal for each group. KW: latent KW: cfa KW: measurement KW: invariance KW: constraints {title:Examples} {phang}{stata "use http://www.stata-press.com/data/r14/sem_2fmmby,clear": . use http://www.stata-press.com/data/r14/sem_2fmmby,clear}{p_end} {phang}{stata "qui sem (Peer -> peerrel1 peerrel2 peerrel3 peerrel4)(Par -> parrel1 parrel2 parrel3 parrel4), group(grade)": . qui sem (Peer -> peerrel1 peerrel2 peerrel3 peerrel4)(Par -> parrel1 parrel2 parrel3 parrel4), group(grade)}{p_end} {phang}{stata "mint": . mint}{p_end} {phang}{stata "qui sem(Appear->appear1 appear2 appear3)(Phy->phyab1 phyab2 phyab3),group(grade)": . qui sem(Appear->appear1 appear2 appear3)(Phy->phyab1 phyab2 phyab3),group(grade)}{p_end} {phang}{stata "mint": . mint}{p_end} {title:Author} Mehmet Mehmetoglu Department of Psychology Norwegian University of Science and Technology mehmetm@svt.ntnu.no {title:Reference} Hirschfeld, G. and von Brachel, R. (2014). Multi-Group confirmatory factor analysis in R - A tutorial in measurement invariance with continuous and ordinal indicators. Practical Assessment, Research & Evaluation. Volume 19, Number 7, 1-12.