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Cross-Cultural Research Programme

Open programme

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.




4 modules


14 participants

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We are regularly approached by researchers seeking our assistance in understanding Hofstede’s research and in realising their own cross-cultural research project successfully. To address this need, we offer a four-session workshop on cross-cultural research in psychology and culture in cooperation with the University of Tilburg (Netherlands), combining a conceptual and a statistical approach.

The workshop focuses on two main themes conducted by renowned scholars in their respective fields:

  • Cross-cultural analysis in psychology, at the level of individuals

  • Cross-cultural analysis at the level of societies (nations, regions, sub-national groups)

Designed for

The course is designed for advanced Master’s students, PhD students, and young researchers. That being said, in previous years we have enjoyed the great diversity of participants of different ages and professional backgrounds and we do not restrict access to the course.

The programme
Day 1 and day 2

We will cover issues such as the nature of culture and various approaches to the study of culture:

  • 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 works or does 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.

Day 3 and 4 

A critical review (strengths and weaknesses) of major cross-cultural models (Hofstede, Schwartz, Inglehart).

Comparisons of statistical tools for analyses associated with the construction of those models and their validation,  including recent developments. Theoretical and technical differences and similarities between multidimensional scaling (MDS), principal components analysis (PCA), exploratory factor analysis (EFA), confirmatory factor analysis (CFA), network analysis (NW), and regression analysis (RA). Demonstrations of MDS, PCA, EFA, and RA with SPSS, as well as CFA and NW  with JASP.

Included in the programme

During the programme you get:

  • The opportunity to discuss your personal research project with the lecturers and the other course participants.

  • An SPSS dataset containing country scores on all popular dimensions of national culture (Hofstede’s, Inglehart’s, Bond’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, etc.

Prerequisites for the programme

Participants are strongly advised to have SPSS and JASP if they want to reproduce the demonstrated steps after the course. A basic command of the options and functionality in SPSS is necessary to follow the steps shown by the instructor, the course does not give an introduction to SPSS.  If you do not need SPSS otherwise, you can download the SPSS trial version shortly before or after the course. JASP is a customer-friendly free statistical program provided by the University of Amsterdam, downloadable from https://jasp-stats.org/, It can do fairly sophisticated analyses but, unlike SPSS, cannot store data.  JASP can open and work with SPSS files or Excel files, and do some analyses that most SPSS versions cannot do.

Participants do not need any advanced knowledge of statistics but they should be familiar with a few basic notions, such as a correlation between variables and statistical significance. 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.

About your facilitators

The course is taught by:

Prof. Michael Minkov, Ph.D.

Dr. Minkov is a Professor of Cross-Cultural Awareness and Organizational Behaviour at the Varna University of Management (Bulgaria), Senior Scientific Advisor at Hofstede Insights, co-author of Hofstede’s bestseller “Cultures and Organizations: Software of the Mind. Revised and expanded 3rd Edition” and author of the handbook “Cross-Cultural Analysis”. 

Dr. Michael Bender 

Associate Professor at the Department of Social Psychology at Tilburg University, Research Fellow at Babylon, the Center for the Study of the Multicultural Society at Tilburg University, and Honorary Professor at the School of Psychology at Gratia Christian College, Hong Kong, China. In my work, I study culture, in particular acculturation, international student adjustment, threat, inter-group behavior, and identity. I am passionate about teaching and infusing culture into the psychology curriculum and care about the methodological appropriateness of our studies and tools (topics on which I regularly give workshops and summer schools).

Terms and conditions

We reserve the right to adjust the course dates in case the current dates cannot be aligned with the lecturer’s regular teaching schedule, which is only known at the beginning of the semester. Participants will naturally be refunded if they cannot make it on the new dates.

Please read the terms and conditions at the link

Upcoming programmes

Spring 2025 (dates TBA)
Day 1 - Comparing individuals across cultures I (Bender)
10:00 - 13:00 CET
Day 2 - Comparing individuals across cultures II (Bender)
10:00 - 14:00 CET (Including a 1 hour Q&A)
Day 3 - Societal Culture I (Minkov)
10:00 - 13.00 CET
Day 4 - Societal Culture II (Minkov)
10:00 - 14:00 CET (Including 1 hour Q&A)
I took this programme while conducting my doctoral research, the knowledge acquired was invaluable.

Anonymous, Course Participant

The disponibility of the 3 professors that hosted the course I joined was very surprising to me and helped me a lot.

Anonymous, Programme Participant

I really enjoyed the discussions with the other participants as well as the professors. I received credits from my university for the course.

Participants in the programme

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