NOTE: this course is fully booked! New applicants will be placed on a waiting list.
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, analysis of incomplete data and advanced use of administrative data. Special attention will be given to the analysis of complex surveys that include weighting, stratification and design effects.
Changes in technology and society strongly influence modern survey research. This course covers the essentials of modern survey analysis and estimation, and is organized by the Department of Methodology and Statistics (UU) in collaboration with Statistics Netherlands (CBS). Lectures, practical applications, and computer classes are alternated.
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 sets, such as the European Social Survey (ESS) or the International Social Survey Program (ISSP).
Central to the course is survey quality and the reduction of Total Survey Error (coverage, sampling, nonresponse, adjustment, measurement error, and processing error). Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R.
Lectures and computer classes cover basic ideas from the TSE-perspective, sampling and non-sampling error: an introduction in R, survey estimation and inference, complex sampling, nonresponse adjustment, and analysis of incomplete data.
Special attention will be given to the analysis of complex surveys - including weighting, stratification, and design effects - and to administrative data.
This course assumes knowledge of survey methodology and statistics. Participants should be acquainted with Analysis of Variance, Multiple Regression Analysis, standard errors, and have some hands-on experience with SPSS. No prior knowledge of R is assumed.
The course is taught from: De Leeuw, Hox & Dillman (2008). International Handbook of Survey Methodology. New York: Taylor & Francis. This book is not included in the course material. This book has to be purchased in advance.
A good preparation is our SummerSchool course ‘Survey Research: Design, Implementation and Data Processing’ (S15,19-23 August).
Participants are recommended to bring their own laptop computer (with SPSS and R installed) for the computer practicals.
For an overview of all our summer school courses offered by the Department of Methodology and Statistics please click here.
Housing through Utrecht Summer School
Tuition fee for PhD students from the Faculty of Social and Behavioural Sciences from Utrecht University will be funded by the Graduate School of Social and Behavioural Sciences.
The course is taught from ‘De Leeuw, Hox & Dillman (2008). International Handbook of Survey Methodology. New York: Taylor & Francis’. This book is not included in the course material. This book has to be purchased in advance. (e.g. Bol.com, Amazon.de).