Approximate measurement invariance and longitudinal confirmatory factor analysis: concept and application with panel data
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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European Survey Research Association
2018-04-01
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| Series: | Survey Research Methods |
| Subjects: | |
| Online Access: | https://ojs.ub.uni-konstanz.de/srm/article/view/7210 |
| _version_ | 1819065854637113344 |
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| author | Daniel Seddig Heinz Leitgöb |
| author_facet | Daniel Seddig Heinz Leitgöb |
| author_sort | Daniel Seddig |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T15:53:05Z |
| format | Article |
| id | doaj.art-80d5777f4f5c45c689363de4590038d5 |
| institution | Directory Open Access Journal |
| issn | 1864-3361 |
| language | English |
| last_indexed | 2024-12-21T15:53:05Z |
| publishDate | 2018-04-01 |
| publisher | European Survey Research Association |
| record_format | Article |
| series | Survey Research Methods |
| spelling | doaj.art-80d5777f4f5c45c689363de4590038d52022-12-21T18:58:11ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612018-04-0112110.18148/srm/2018.v12i1.7210Approximate measurement invariance and longitudinal confirmatory factor analysis: concept and application with panel dataDaniel SeddigHeinz LeitgöbThis 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.https://ojs.ub.uni-konstanz.de/srm/article/view/7210confirmatory factor analysisBayesian structural equation modelingapproximate measurement invariancepanel data |
| spellingShingle | Daniel Seddig Heinz Leitgöb Approximate measurement invariance and longitudinal confirmatory factor analysis: concept and application with panel data Survey Research Methods confirmatory factor analysis Bayesian structural equation modeling approximate measurement invariance panel data |
| title | Approximate measurement invariance and longitudinal confirmatory factor analysis: concept and application with panel data |
| title_full | Approximate measurement invariance and longitudinal confirmatory factor analysis: concept and application with panel data |
| title_fullStr | Approximate measurement invariance and longitudinal confirmatory factor analysis: concept and application with panel data |
| title_full_unstemmed | Approximate measurement invariance and longitudinal confirmatory factor analysis: concept and application with panel data |
| title_short | Approximate measurement invariance and longitudinal confirmatory factor analysis: concept and application with panel data |
| title_sort | approximate measurement invariance and longitudinal confirmatory factor analysis concept and application with panel data |
| topic | confirmatory factor analysis Bayesian structural equation modeling approximate measurement invariance panel data |
| url | https://ojs.ub.uni-konstanz.de/srm/article/view/7210 |
| work_keys_str_mv | AT danielseddig approximatemeasurementinvarianceandlongitudinalconfirmatoryfactoranalysisconceptandapplicationwithpaneldata AT heinzleitgob approximatemeasurementinvarianceandlongitudinalconfirmatoryfactoranalysisconceptandapplicationwithpaneldata |