Cross-Cultural Analysis

Eldad Davidov is Professor of Sociology at the University of Cologne, Germany and the University of Zurich, SwitzerlandPeter Schmidt is Professor Emeritus of Methodology of Social Research at the University of Giessen and Humboldt Research Fellow of the Polish Foundation for Basic ResearchJaak Billiet is Professor Emeritus at the Katholieke Universiteit Leuven, BelgiumBart Meuleman is Associate Professor and head of department at the Centre for Sociological Research (CeSO) at the University of Leuven (Belgium)

• Preface Peter Schmidt, Eldad Davidov, Jaak Billiet, and Bart Meuleman Section I: MGCFA and MGSEM Techniques 1. Capturing Bias in Structural Equation Modeling Fons J.R. van de Vijver 2. Evaluating Change in Social and Political Trust in Europe Nick Allum, Sanna Read, and Patrick Sturgis 3. Methodological Issues in Using Structural Equation Models for Testing Differential Item Functioning Jaehoon Lee, Todd D. Little, and Kristopher J. Preacher 4. Estimation and Comparison of Latent Means Across Cultures Holger Steinmetz 5. Biased Latent Variable Mean Comparisons due to Measurement Non-Invariance: A Simulation Study Alain de Beuckelaer and Gilbert Swinnen 6. Testing the Invariance of Values in the Benelux Countries with the European Social Survey: Accounting for Ordinality Eldad Davidov, Georg Datler, Peter Schmidt, and Shalom Schwartz 7. Religious Involvement: Its Relation to Values and Social Attitudes. A Simultaneous Test of Measurement and Structural Models Across European Countries Bart Meuleman and Jaak Billiet 8. Measurement Equivalence of the Dispositional Resistance to Change Scale Shaul Oreg et al. 9. Measurement Equivalence Testing 2.0 William M. van der Veld and Willem E. Saris Section II: Multilevel Analysis 10. Perceived Economic Threat and Anti-Immigration Attitudes: Effects of Immigrant Group Size and Economic Conditions Revisited Bart Meuleman 11. A Multilevel Regression Analysis on Work Ethic Hermann Dülmer 12. Multilevel Structural Equation Modeling for Cross-cultural Research: Exploring Resampling Methods to Overcome Small Sample Size Problems Remco Feskens and Joop Hox 13. Explaining Cross-National Measurement Inequivalence: A Bayesian Multilevel CFA with Random Loadings Bart Meuleman and Elmar Schlüter Section III: Latent Class Analysis (LCA) 14. Testing for Measurement Invariance with Latent Class Analysis Miloš Kankaraš, Guy Moors, and Jeroen K. Vermunt 15. A Multiple Group Latent Class Analysis of Religious Orientations in Europe Pascal Siegers 16. Testing for Invariance of Latent Classes: Group-as-Covariate Approach Maksim Rudnev Section IV: Item Response Theory 17. Using a Differential Item Functioning Approach to Investigate Measurement Invariance Rianne Janssen 18. Using the Mixed Rasch Model in the Comparative Analysis of Attitudes Markus Quandt 19. Random Item Effects Modeling for Cross-National Survey Data Jean-Paul Fox and A. Josine Verhagen Section V: New and Emerging Topics in Cross-Cultural Analysis 20. Exact and Bayesian Approximate Measurement Invariance Daniel Seddig and Heinz Leitgöb 21. Alignment Optimization: Estimation of the Most Trustworthy Means in Cross-Cultural Studies even in the Presence of Noninvariance Jan Cieciuch, Eldad Davidov, and Peter Schmidt 22. Sensitivity Analysis Daniel L. Oberski 23. How Should Immigrants Adapt to Their Country of Residence? A Mixed Methods Approach to Evaluate the International Applicability of a Question from the German General Social Survey (ALLBUS) Michael Braun and Timothy P. Johnson

"As was the case with the original volume, this updated volume fills an enormous need in the cross-cultural research literature. It provides a single go-to source of chapters on the methodological and statistical analysis challenges unique to cross-cultural research—or, for that matter, any research project in which group comparisons across levels and time are proposed. Each chapter clearly presents a unique challenge, why it is important, and how it may be addressed. This volume is a valuable contribution not only to cross-cultural researchers but to any researcher examining the similarities and differences between entities (people, groups, teams, organizations, etc.). It can be used as a reference book or as a supplemental textbook in advanced courses on cross-cultural research." – Robert J. Vandenberg, University of Georgia, USA"This is a must-have book for anyone doing quantitative cross-cultural research in any discipline of social and behavioral sciences. Readers will appreciate book chapters prepared by prominent researchers for their practical and approachable presentations of core methods with examples that address major analytical issues and challenges." - Young Ik Cho, University of Wisconsin-Milwaukee, USA