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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Testing for measurement invariance by detecting local misspecification and an illustration across online and paper-and-pencil samples
Organization Unit
Authors
  • Jan Cieciuch
  • Eldad Davidov
  • Daniel L Oberski
  • René Algesheimer
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title European Political Science
Publisher Palgrave Macmillan Ltd.
Geographical Reach international
ISSN 1680-4333
Volume 14
Number 4
Page Range 521 - 538
Date 2015
Abstract Text 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
Zusammenfassung 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.
Free access at DOI
Digital Object Identifier 10.1057/eps.2015.64
Other Identification Number merlin-id:12682
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