Dozenten: Prof. Dr. Christof Wolf; Prof. Dr. Dominique Joye; Dr. Loice Natukunda
Dominique Joye studied political science before he specialized in urban sociology, sociology of inequalities and life-course as well as survey methodology. Past director of the Swiss data archive (SIDOS) he is professor of sociology at the University of Lausanne since 2006. Past member of the methodological advisory board of the ESS he is currently chairing the methodological committee of the ISSP as well as member of the executive and methodological committees of the EVS.
Christof Wolf studied Sociology, Economics, Economic and Social History and Statistics at Hamburg University. In 1996 he received his doctorate in sociology at the University of Cologne and was awarded the venia legendi for sociology in 2003. From 2004 to 2015 Christof Wolf was Scientific Director of the department "Monitoring Society and Social Change", since 2015 he is President of GESIS – Leibniz-Institute for the Social Sciences. Since 2009 he is also a professor for sociology at Mannheim University. His research interests include social stratification, health and social networks.
Together with Tom W. Smith and Yang-chih Fu Dominique Joye and Christof Wolf co-edited the Sage Handbook of Survey Methodology.
Loice Natukunda is a lecturer of Organisational Studies at the College of Humanities and Social Sciences, Makerere University, Kampala. She obtained her PhD in Management at the University of Sheffield, UK where she explored the integration of Western designed models of employee performance management into the African organisational context. Loice has experience in collecting data within urban formal organisations in the Netherlands, UK and Uganda. She has also explored the cross-cultural implications around conducting field research in rural Africa examining the opportunities and challenges insider as well as outsider researchers face during data collection, management and analysis.
This course focusses on cross-cultural survey research and follows up on the introduction to survey methodology. We emphasize issues that have to be taken into account when conducting surveys in more than one culture.
The course begins by positioning cross-cultural survey research in the Total Survey Error framework. From there we discuss specific problems of measurement and representation in cross-cultural research. Concerning measurement we discuss question and questionnaire design in cross-cultural perspective, including challenges of translation, harmonization and applying international standard classifications in the survey context. We also briefly touch on different ways to pretest survey questions in a cross-cultural framework.
This will be followed-up by considerations of mode of data collection and sampling, two crucial elements determining what part of the population is represented by a survey. Then we turn to aspects of fieldwork monitoring and the collection of para data. This leads us to discussing approaches to assess survey data quality and comparability of cross-cultural surveys. The course ends by giving participants an overview of data sources and other resources for cross-cultural survey research.
For a full-length syllabus of this course, please click here.
- Basic knowledge of social research methods, in particular survey methodology
- Basic statistical knowledge, ability to use a statistical software, interest in data analysis
Participants will find the course useful if:
- they are interested to learn about survey research in a cross-cultural perspective
- they have an interest in quantitative methodology and scientific exploration
- they want to acquire a critical perspective on methods of data production in comparative research
By the end of the course participants will:
- have learned basic concepts and methods of comparative survey research
- have developed an awareness of key challenges of cross-cultural survey research and the precautions to take when using such a design
- have the ability to critically assess the quality of a cross-cultural survey
Hard- und Softwarevoraussetzungen
Participants are expected to bring their own laptops for use in the course. Participants should pre-install the open-source software R as well as RStudio and download the following R packages: descr, psych, lavaan, homals, ca, CCA, haven, Hmisc, lme4 before the course.