Survey Research: Statistical Analysis and Estimation

The course is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R. Topics include complex sampling, nonresponse adjustment, measurement error and analysis of incomplete data. Special attention will be given to the analysis of complex surveys that include weighting, stratification and design effects.

Course leader

Prof. dr. E.D. de Leeuw

Target group

The course is intended for advanced students and professionals in such fields as social and behavioral research, marketing, business, health sciences, and official statistics. The course aims at researchers who intend to design and analyze their own survey, but also at researchers who analyze secondary data such as the European Social Survey (ESS) or the International Social Survey Program (ISSP).

Course aim

Under pressure of changes in modern society and technology, survey methodology is rapidly changing. This course aims to provide participants with state of the art knowledge and application oriented skills for survey analysis and estimation.

An overview of theory and practice of survey analysis and estimation is given, including the use of SPSS and R for complex survey analysis.

After the course, participants are ready to apply the learned towards their own data or archived data sets, and are able to take advanced training in complex survey statistics and adjustment.

Fee info

EUR 800: • € 800 - Course + course materials + housing
• € 600 - Course + course materials

Scholarships

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