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Article: Longitudinal measurement invariance in urbanization index of Chinese communities across 2000 and 2015: a Bayesian approximate measurement invariance approach

TitleLongitudinal measurement invariance in urbanization index of Chinese communities across 2000 and 2015: a Bayesian approximate measurement invariance approach
Authors
KeywordsBayesian structural equation modeling
China health and nutrition survey
Exact invariance
Longitudinal
Psychometrics
Temporal change
Urbanization
Issue Date2021
Citation
BMC Public Health, 2021, v. 21, n. 1, article no. 1653 How to Cite?
AbstractBackground: The Urbanicity Scale was developed based on the China Health and Nutrition Survey (CHNS) to measure the urbanization index of communities according to 12 components. The present study was designed to systematically investigate the factorial validity, reliability, and longitudinal measurement invariance (LMI) of the Urbanicity Scale. Methods: Six waves of CHNS data from 2000 to 2015 were adopted. The factor structure and reliability of the Urbanicity Scale for 301 communities were examined using Bayesian exploratory factor analysis. Metric and scalar LMIs were evaluated using both the conventional exact and a novel approximate LMI approach via Bayesian structural equation modeling across various timeframes. Results: The findings verified the one-factor structure for the Urbanicity Scale, with adequate reliability. LMI was established for the Urbanicity Scale only over a shorter timeframe from 2006 to 2009 but not over a longer timeframe from 2000 to 2015. Partial LMI was found in the factor loadings and item intercepts for the Urbanicity Scale over the 2004 to 2011 period. Conclusion: Interpretation of the temporal change in urbanicity was supported only for a shorter (2006 to 2009) but not a longer timeframe (2000 to 2015). Adjustments addressing the partial non-invariance of the measurement parameters are needed for the analysis of temporal changes in urbanicity between 2004 and 2011.
Persistent Identifierhttp://hdl.handle.net/10722/342222
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorFong, Ted C.T.-
dc.contributor.authorHo, Rainbow T.H.-
dc.date.accessioned2024-04-17T04:11:33Z-
dc.date.available2024-04-17T04:11:33Z-
dc.date.issued2021-
dc.identifier.citationBMC Public Health, 2021, v. 21, n. 1, article no. 1653-
dc.identifier.urihttp://hdl.handle.net/10722/342222-
dc.description.abstractBackground: The Urbanicity Scale was developed based on the China Health and Nutrition Survey (CHNS) to measure the urbanization index of communities according to 12 components. The present study was designed to systematically investigate the factorial validity, reliability, and longitudinal measurement invariance (LMI) of the Urbanicity Scale. Methods: Six waves of CHNS data from 2000 to 2015 were adopted. The factor structure and reliability of the Urbanicity Scale for 301 communities were examined using Bayesian exploratory factor analysis. Metric and scalar LMIs were evaluated using both the conventional exact and a novel approximate LMI approach via Bayesian structural equation modeling across various timeframes. Results: The findings verified the one-factor structure for the Urbanicity Scale, with adequate reliability. LMI was established for the Urbanicity Scale only over a shorter timeframe from 2006 to 2009 but not over a longer timeframe from 2000 to 2015. Partial LMI was found in the factor loadings and item intercepts for the Urbanicity Scale over the 2004 to 2011 period. Conclusion: Interpretation of the temporal change in urbanicity was supported only for a shorter (2006 to 2009) but not a longer timeframe (2000 to 2015). Adjustments addressing the partial non-invariance of the measurement parameters are needed for the analysis of temporal changes in urbanicity between 2004 and 2011.-
dc.languageeng-
dc.relation.ispartofBMC Public Health-
dc.subjectBayesian structural equation modeling-
dc.subjectChina health and nutrition survey-
dc.subjectExact invariance-
dc.subjectLongitudinal-
dc.subjectPsychometrics-
dc.subjectTemporal change-
dc.subjectUrbanization-
dc.titleLongitudinal measurement invariance in urbanization index of Chinese communities across 2000 and 2015: a Bayesian approximate measurement invariance approach-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1186/s12889-021-11691-y-
dc.identifier.pmid34507572-
dc.identifier.scopuseid_2-s2.0-85114703403-
dc.identifier.volume21-
dc.identifier.issue1-
dc.identifier.spagearticle no. 1653-
dc.identifier.epagearticle no. 1653-
dc.identifier.eissn1471-2458-
dc.identifier.isiWOS:000694857200006-

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