Cross-cultural analysis : methods and applications / edited by Eldad Davidov, Peter Schmidt, Jaak Billiet, and Bart Meuleman.

Includes bibliographical references and indexes.

Preface / Peter Schmidt, Eldad Davidov, Jaak Billiet, and Bart Meuleman -- Section I. MGCFA and MGSEM Techniques. Capturing Bias in Structural Equation Modeling / Fons J.R. van de Vijver -- Evaluating Change in Social and Political Trust in Europe / Nick Allum, Sanna Read, and Patrick Sturgis -- Methodological Issues in Using Structural Equation Models for Testing Differential Item Functioning / Jaehoon Lee, Todd D. Little, and Kristopher J. Preacher -- Estimation and Comparison of Latent Means Across Cultures / Holger Steinmetz -- Biased Latent Variable Mean Comparisons Due to Measurement Noninvariance : A Simulation Study / Alain de Beuckelaer and Gilbert Swinnen -- 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 H. Schwartz -- Religious Involvement : Its Relation to Values and Social Attitudes / Bart Meuleman and Jaak Billiet -- Measurement Equivalence of the Dispositional Resistance to Change Scale / Shaul Oreg [and 21 others] -- Measurement Equivalence Testing 2.0 / William M. van der Veld and Willem E. Saris -- Section II. Multilevel Analysis. Perceived Economic Threat and Anti-Immigration Attitudes : Effects of Immigrant Group Size and Economic Conditions Revisited / Bart Meuleman -- A Multilevel Regression Analysis on Work Ethic / Hermann D่ulmer --

"Bridging the gap between the latest methodological developments and cross-cultural research, this interdisciplinary resource presents strategies for analyzing cross-cultural data. Techniques are demonstrated through applications that employ cross-national data sets such as the latest European Social Survey. With an emphasis on the generalized latent variable approach, internationally prominent researchers from a variety of fields explain how the methods work, how to apply them, and how they relate to other methods. Syntax and graphical and verbal explanations of the techniques are included. Online resources include some of the data sets and syntax commands used in the book. The second edition includes six new chapters and two revised ones presenting exciting developments in the literature of cross-cultural analysis, including topics such as approximate measurement invariance, alignment optimization, sensitivity analyses, a mixed-methods approach to test for measurement invariance, and a multilevel structural equation modeling approach to explain noninvariance. This book is intended for researchers, practitioners, and advanced students interested in cross-cultural research. The book will appeal to researchers and students in psychology, political science, sociology, education, marketing and economics, geography, criminology, psychometrics, epidemiology, and public health, as well as those interested in methodology. It is also appropriate for an advanced methods course in cross-cultural analysis."--Page 4 of cover.