The course focuses on two main themes conducted by three renowned scholars in their respective fields:
Cross-cultural analysis in psychology at the level of individuals, by Prof. Fons van de Vijver, PhD and Prof. Michael Bender, PhD.
Cross-cultural analysis at the level of societies (nations, regions, sub-national groups) by Prof. Michael Minkov, PhD.
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 characterise it.
The course is designed for advanced Master’s students, PhD students, and young researchers.
As we do this as a service to the scientific community, we offer this course below cost price, thus keeping the costs for participants as low as possible.
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 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 are sometimes 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 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, etc.
These datasets will be analysed using different statistical tools for different purposes
Prerequisites for the course:
Participants must come to class with their own laptop on which SPSS has been installed.
Participants do not need any advanced knowledge of statistics but it will be helpful if they are familiar with a few basic notions, such as correlation between variables and statistical significance. Note however, that even some of these basic concepts will be re-examined in class (especially statistical significance) as most people tend to hold incorrect concepts of them.
What you receive:
- The input to do a better job in conducting cross-cultural research and to write a thesis
- Two lunches, coffee break
- Dinner at the end of the first day
If you would like more information regarding this course, contact us using the form below.
Courses will be confirmed latest 3 weeks before the course date. Until then it’s possible that courses will be cancelled due to an insufficient number of participants.