Methods and Data Analysis for Cross-Cultural Research

This is an integrated introduction to methods, research design, and data analysis tailored to the challenges of cross-cultural research.

Fons J. R. van de Vijver (Author), Kwok Leung (Author), Velichko H. Fetvadjiev (Edited by), Jia He (Edited by), Johnny R. J. Fontaine (Edited by)

9781107057791, Cambridge University Press

Hardback, published 24 June 2021

250 pages
23.5 x 15.7 x 1.7 cm, 0.45 kg

'This book provides an extremely useful and methodologically sound manual to guide cross-cultural investigations. Readers will find a readable, concise, well-organized, and carefully reasoned presentation of state-of-the-art thinking on how to plan, carry out, and understand results of cross-cultural research. It is a remarkable contribution.' Gerard Saucier, Professor of Psychology, University of Oregon, USA

This book gives an up-to-date overview of methodological and data-analytical issues of cross-cultural studies. Written by leading experts in the field, it presents the most important tools for doing cross-cultural research and outlines design considerations, methods, and analytical techniques that can improve ecological validity and help researchers to avoid pitfalls in cross-cultural psychology. By focusing on the relevant research questions that can be tackled with particular methods, it provides practical guidance on how to translate conceptual questions into decisions on study design and statistical techniques. Featuring examples from cognitive and educational assessment, personality, health, and intercultural communication and management, and illustrating key techniques in feature boxes, this concise and accessible guide is essential reading for researchers, graduate students, and professionals who work with culture-comparative data.

1. Methodological concepts in cross-cultural research
2. Theoretical background
3. Methods and design
4. Analysis
5. Design and analysis of eight common kinds of cross-cultural studies
6. Conclusions.

Subject Areas: Psychology [JM], Research methods: general [GPS], Data analysis: general [GPH]