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Testing for Measurement Invariance by Detecting Local Misspecification and an Illustration Across Online and Paper-and-Pencil Samples

Bibliographic Data

ID12869578
AuthorsJan Cieciuch (0000-0002-2291-8301, Institute of Psychology, corresponding author), Eldad Davidov (0000-0002-3396-969X, University of Zurich), Daniel L Oberski (0000-0001-7467-2297, Tilburg University), René Algesheimer (0000-0002-3293-7928, Zurich University of Applied Sciences in Business Administration)
Year2015
Volume14
Issue4
Pages521-538
Publication date2015-11-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEuropean Political Science (JOURNAL)
Journal identifiersISSN: 1680-4333 • E-ISSN: 1682-0983
PublisherPalgrave Macmillan (PUBLISHER • GB)
DOI10.1057/eps.2015.64
OpenAlexW2287472105
LanguageEN
Citations received4
References cited56

Political scientists often need to evaluate whether samples are comparable, for example, when analysing different countries or time points or when comparing data collected using different methods. A necessary condition for conducting such meaningful cross-group comparisons is the establishment of measurement invariance. One of the most frequently used procedures for establishing measurement invariance is the multigroup confirmatory factor analysis. This method was criticised in the literature because it may suggest that a model fits the data although it may contain serious misspecifications. We present an alternative method to test for measurement invariance using detection of local misspecifications and illustrate its use on two data sets assessing value priorities that are often analysed in political science and collected using paper-and-pencil and web modes of data collection

Comparative politics · Confirmatory factor analysis · Data collection · Econometrics · Measurement invariance · Pencil (optics · Political science · Politics · Statistics · Structural equation modeling · Advanced Causal Inference Techniques · Computer Science · Engineering · Mathematics · Psychology · Qualitative Comparative Analysis Research · Social and Intergroup Psychology

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Unique citing works4
Citations per year0,36
Citation span2015 - 2021 (7)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4
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