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Measurement Invariance, Response Styles, and Rural–Urban Measurement Comparability

Bibliographic Data

ID7842862
AuthorsTroy Devon Thomas (0000-0002-2353-430X, Ghent University), Troy Thomas (University of Guyana, corresponding author), Koen Abts (0000-0001-8546-8347, KU Leuven), Patrick Vander Weyden (FocusUP, Antwerp, Belgium)
Year2014
Volume45
Issue7
Pages1011-1027
Publication date2014-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Cross-Cultural Psychology (JOURNAL)
Journal identifiersISSN: 0022-0221 • E-ISSN: 1552-5422
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0022022114532359
OpenAlexW2160083594
LanguageEN
Citations received3
References cited57

This article investigates the effect of response styles (RSs) on rural–urban measurement comparability in Guyana. It uses the representative indicators response styles means and covariance structure (RIRSMACS) model and finds that traditional measurement invariance (MI) tests provide inadequate assurance of the absence of rural–urban measurement bias when RSs are not controlled. Even when MI is achieved, RSs can still differentially affect measurements and substantive results between rural and urban regions. In addition, a lack of MI may be at least partially due to RSs bias, but MI may also be due to RSs. Therefore, adjustments for RSs are necessary and researchers should be cautious about pooling data across rural and urban areas without controlling RSs

Comparability · Econometrics · Geography · Pooling · RSS · Statistics · Artificial Intelligence · Computer Science · Mathematics · Psychology · Spatial and Panel Data Analysis · Urban Transport and Accessibility · Urban, Neighborhood, and Segregation Studies

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Unique citing works3
Citations per year0,27
Citation span2015 - 2024 (10)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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