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Author and presenter Meuleman, Bart; Catholic University Leuven Title When are item intercept differences substantial in measurement equivalence testing? An application on ESS data. Abstract Applied comparative researchers are becoming increasingly aware of the issue of measurement equivalence. By now, there exists considerable agreement on the concrete operationalization and implications of (the various levels of) measurement equivalence. Multiple group confirmatory factor analysis (MGCFA) has become widely recognized as a useful statistical tool to test for equivalence. In this framework, measurement equivalence is assessed by constraining certain parameters – e.g. factor loadings or item intercepts - across groups. Despite growing consensus, important issues in equivalence testing by means of MGCFA remain unresolved. One of the most compelling problems related to the specific criteria that should be used to decide whether an equality constraint is violated or not. Various authors warn against relying on statistical criteria alone, because due to the large sample sizes often used, even negligible differences between groups can become significant. Saris et al. (2009) suggest that one should only pay attention to substantial model misspecifications (i.e. with a high expected parameter change). Yet, how large should differences between groups be to be judged as substantial? This paper proposes a concrete strategy to predict whether differences in item intercepts will have perceivable impact on substantial conclusions drawn from latent mean comparisons. The proposed strategy is applied using European Social Survey (round 4) data on welfare attitudes. Key words Measurement equivalence, MGCFA, European Social Survey
The ASA Spring Methodology Conference Organized in Europe by the Department of Methodology and Statistics at Tilburg University, the Netherlands. SESSION : Survey Methodology (Data Collection) PRESENTERS: Shishi Chen chenshishi@gmail.com University of Hong Kong Britta Busse busse@ifs.tu-darmstadt.de Darmstadt University of Technology Jorre van Nieuwenhuyze jorre.vannieuwenhuyze@soc.kuleuven.be Catholic University, Leuven Mark Trappmann mark.trappmann@iab.de Institute for Employment Research; University of Leipzig
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The ASA Spring Methodology Conferen
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Friendships under study were formed
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the interplay of social background
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greatly inefficient. Only very few
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Data We use matched employer-employ
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KEY NOTE SPEAKER Snijders, Tom A.B.
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Presenter Hagenaars, Jacques A.P.;
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Presenter Croon, Marcel; Tilburg Sc
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Author and presenter Kuijpers, Rens
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Author and presenter Forcina, Anton
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Author and presenter Roverato, Albe
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Author and presenter Ark van der, A
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Author and presenter Fairbrother, M
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model are evaluated. Special attent
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Presenter Bennink, Margot; Dept. Me
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Presenter Züll, Cornelia & Scholz,
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Author and presenter Hoffmeyer-Zlot
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The ASA Spring Methodology Conferen
Page 37 and 38: Author and presenter Mui, Phoebe; T
Page 39 and 40: Author and presenter Koppenol-Gonza
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Page 43 and 44: Presenter Engel, Uwe; Dept. of Soci
Page 45 and 46: Presenter Schnell, Rainer; Institut
Page 47 and 48: References: Razum, Oliver; Zeeb, Ha
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Page 53 and 54: Presenter Kaczmirek, Lars; GESIS -
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Page 57 and 58: Presenter Engel, Uwe; Dept. of Soci
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Page 63 and 64: efore retirement. We identify four
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Page 67 and 68: Author and presenter Lospinoso, Jos
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Page 75 and 76: Presenter Wesel van, Floryt; Dept.
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Page 81 and 82: Presenter Blettner, Daniela P.; Dep
Page 83 and 84: Presenter Morren, Meike; Tilburg Sc
Page 85 and 86: Presenter Beuckelaer De, Alain; Rad
Page 87: Presenter Kankaraš, Miloš; Dept.
Page 91 and 92: Presenter Busse, Britta; Darmstadt
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Page 97 and 98: Author and presenter Gorter, Rosali
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