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Approximate measurement invariance and longitudinal confirmatory factor analysis: concept and application with panel data
[journal article]
Abstract This article addresses the approximate approach to assess measurement invariance with
(longitudinal) confirmatory factor analysis. Approximate measurement invariance uses
zero-mean, small-variance Bayesian priors to allow minor differences in estimated
parameters across time, while still maintain... view more
This article addresses the approximate approach to assess measurement invariance with
(longitudinal) confirmatory factor analysis. Approximate measurement invariance uses
zero-mean, small-variance Bayesian priors to allow minor differences in estimated
parameters across time, while still maintaining comparability of the underlying constructs.
The procedure is illustrated for the first time with panel data on young peoples’ preferences
to maximize pleasure and enjoy life. Results indicate whereas the traditional approach of
exact measurement invariance failed to establish scalar invariance across time and precluded
comparisons of latent means, it was possible to establish approximate scalar invariance.
Based on a monitoring procedure for model fit and convergence, a rather small prior variance
was deemed sufficient to account for minor deviations of cross-time intercept differences
from zero.... view less
Keywords
longitudinal study; panel; factor analysis; probability; data capture; comparative research; adolescence; young adult; hedonism; survey research
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
confirmatory factor analysis; Bayesian structural equation modeling; approximate measurement invariance; panel data
Document language
English
Publication Year
2018
Page/Pages
p. 29-41
Journal
Survey Research Methods, 12 (2018) 1
ISSN
1864-3361
Status
Published Version; peer reviewed
Licence
Deposit Licence - No Redistribution, No Modifications