Permutation randomization methods for testing measurement equivalence and detecting differential item functioning in multiple-group confirmatory factor analysis

Permutation randomization methods for testing measurement equivalence and detecting differential item functioning in multiple-group confirmatory factor analysis

In multigroup factor analysis, different levels of measurement invariance are accepted as tenable when researchers observe a nonsignificant (Δ)χ2 test after imposing certain equality constraints across groups. Large samples yield high power to detect negligible misspecifications, so many researchers...

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Bibliographic Details
Main Authors: Chen, P.-Y (Author), Jorgensen, T.D (Author), Kite, B.A (Author), Short, S.D (Author)
Format: Article
Language:English
Published: American Psychological Association Inc. 2018
Subjects:
Configural invariance
confirmatory factor analysis
controlled study
Data Interpretation, Statistical
Differential item functioning
error
factor analysis
Factor Analysis, Statistical
human
Humans
Measurement equivalence
methodology
Models, Statistical
Multiple group confirmatory factor analysis
null hypothesis
Permutation
procedures
psychology
Psychology
PsycINFO
randomization
randomized controlled trial
Research Design
sample size
scientist
simulation
software
statistical analysis
statistical model
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