Cross-cultural research is now an undeniable part of mainstream psychology and has had a major impact on conceptual models of human behavior. Although it is true that the basic principles of social psychological methodology and data analysis are applicable to cross-cultural research, there are a number of issues that are distinct to it, including managing incongruities of language and quantifying cultural response sets in the use of scales. Cross-Cultural Research Methods in Psychology provides state-of-the-art knowledge about the methodological problems that need to be addressed if a researcher is to conduct valid and reliable cross-cultural research. It also offers practical advice and examples of solutions to those problems and is a must-read for any student of culture.
1. Introduction to the methodological issues associated with cross-cultural research David Matsumoto and Fons J. R. van de Vijver; Part I. Conceptual Issues and Design: 2. Equivalence and bias: a review of concepts, models, and data analytic procedures Fons J. R. van de Vijver and Kwok Leung; 3. Translating and adapting tests for cross-cultural assessments Ronald K. Hambleton and April L. Zenisky; 4. Making scientific sense of cultural differences in psychological outcomes: unpackaging the magnum mysterium Michael H. Bond and Fons J. R. van de Vijver; 5. Sampling: the selection of cases for culturally comparative psychological research Klaus Boehnke, Petra Lietz, Margrit Schreier and Adalbert Wilhelm; 6. Survey response styles across cultures Timothy P. Johnson, Sharon Shavitt and Allyson L. Holbrook; Part II. Data Analysis and Interpretation: 7. Methods for investigating structural equivalence Ronald Fischer and Johnny R. J. Fontaine; 8. Evaluating test and survey items for bias across languages and cultures Stephen G. Sireci; 9. Effect sizes in cross-cultural research David Matsumoto, John J. Kim, Robert J. Grissom and Dale L. Dinnel; 10. Data-analytic approaches for investigating isomorphism between the individual-level and the cultural-level internal structure Johnny R. J. Fontaine and Ronald Fischer; 11. Multilevel modeling and cross-cultural research John B. Nezlek; 12. Cross-cultural meta-analysis Dianne A. van Hemert.