*! version 1.0 25June2015

help mint

Title

mint -- Measurement invariance test

Description

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 mint is:

1)Equal form/configural invariance solution has the same form/
structure with the same indicators loading on the latent variables
for each group.

2)Equal loadings/weak invariance solution constrains the loadings
to be equal for each group.

3)Equal intercepts/strong invariance solution constrains the intercepts
(+ loadings) to be equal for each group.

4)Equal error variances/strict invariance solution constrains the error
variances (+ loadings and intercepts) to be equal for each group.

5)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

Examples

. use http://www.stata-press.com/data/r14/sem_2fmmby,clear

. qui sem (Peer -> peerrel1 peerrel2 peerrel3 peerrel4)(Par -> parrel1 parrel2 parrel3 parrel4), group(grade)

. mint

. qui sem(Appear->appear1 appear2 appear3)(Phy->phyab1 phyab2 phyab3),group(grade)

. mint

Author

Mehmet Mehmetoglu
Department of Psychology
Norwegian University of Science and Technology
mehmetm@svt.ntnu.no

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.