Cross-cultural Research Methods
A two-day course for current and aspiring researchers - 7 and 8 June 2019
The hofstede centre organizes a two-day course in cooperation with the Tilburg University (Netherlands) in cross-cultural research in psychology and culture, combining a conceptual and a statistical approach.We focus on two main themes conducted by three renowned scholars in their respective fields:
- Cross-cultural analysis in psychology, at the level of individuals,
by Dr. Jia He (publications) and Dr. Michael Bender (publications).
- Cross-cultural analysis at the level of societies (nations, regions, sub-national groups)
by Prof. Michael Minkov, PhD. (his most relevant publications)
- Additional literature
Cross-cultural research is a booming field for academics and practitioners alike. As our knowledge expands, we are increasingly aware of the field's complexity and the need for researchers to appreciate the numerous controversies that characterize it.
The theme of the first day is preparation for analysis of cross - cultural data. We will cover issues such as the nature of culture and various approaches to the study of culture. Some of the controversial topics that we will discuss are definitions of culture (What is culture and what is not culture? Where does culture come from? What creates cultural differences?), data selection (What kind of survey participants should we choose? What kind of items work or do not work?), levels of analysis (the difference between studying individuals and societies), etic versus emic approaches ( Should we use a single research tool across many societies or develop a specific research tool for each society of interest?), etc.
The theme of the second day is statistical analysis. It is often seen as a tool through which a researcher discovers a truth hidden in the data. This apparent simplicity misleads many people, including some experienced scholars.
In fact, a large and complex dataset can be analysed in different ways creating different results, which sometimes are contradictory. In that case, the goal of the statistical analysis is not to find the one and only one truth that hides in the data but to create a scientifically acceptable truth: a solution that Learn more proves to be practically useful. This means that the chosen solution should explain (interesting phenomena as logically and parsimoniously as possible).
During the course, participants will be introduced to the analysis of complex datasets of societal variables and will have an opportunity to perform and interpret such analyses personally. Each participant will receive an SPSS dataset containing country scores on all popular dimensions of national culture (Hofstede's, Inglehart's, Bond's, Schwartz's, Project GLOBE's and more), as well as various national indicators: values from the World Values Survey, GDP per person in different years, national educational achievement and national IQ, a rule-of-law index, a corruption index, road death tolls, suicide rates, homicide rates, climatic data, prevalence of infectious diseases, tobacco consumption, genetic data, et c. These datasets will be analys ed, using different statistical tools for different purposes.
- 23 and 24 November 2018
- 25 and 26 May 2018
- November 3 and 4, 2017
- June 23 and 24, 2017
- October 8 and 9, 2016
- November 26 and 27, 2015