The increasing availability of cross-national data sets allows researchers to engage in cross-cultural research more than ever. Unfortunately, most of the methods developed to analyze such data are seldom applied. This interdisciplinary resource ...
bridges the gap between the methods and the applied research by presenting basic strategies for analyzing cross-cultural data, the latest methodological literature, and actual applications of the techniques. Internationally-prominent researchers from a variety of fields explain how the method works, how to apply it, and how it relates to other methodologies presented in the book. Syntax and graphical and verbal explanations of the techniques are included. A website features the data sets used in the book. Interesting applications from the behavioral and social sciences feature the use of real data-sets: the use of samples from 17 countries to validate the resistance to change scale across these nations; how to test the cross-national invariance properties of social trust; an analysis of the interplay between social structure, religiosity, values, and social attitudes; a comparison of anti-immigrant attitudes across European countries; and, patterns of religious orientations in European societies. The book is divided into techniques for analyzing cross-cultural data within the generalized-latent-variable approach: multiple-group confirmatory factor analysis; multi-level analysis; latent class analysis; and item-response theory. Since researchers from various disciplines often use different methodological approaches, a consistent framework for describing, developing, and applying each method so as to cross 'methodological borders' between disciplines is employed. Some chapters describe the basic strategy and how it relates to other strategies presented in the book, others apply the methodological techniques to real data sets to address specific research questions, and a few combine both. A table in the preface highlights for each chapter: a brief description of the contents, the statistical methods used, the goal(s) of the analysis, and the data set employed. This book is intended for researchers, practitioners, and advanced students interested in cross-cultural research. Because the applications span a variety of disciplines, the book will appeal to cross-cultural 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 social-science and behavioral methodology. It is also appropriate for an advanced methods course in cross-cultural analysis.