Netherlands, Utrecht

Survey Research: Statistical Analysis and Estimation

when 22 August 2016 - 26 August 2016
language English
duration 1 week
credits 1.5 ECTS
fee EUR 800

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.

Course leader

Dr. Peter Lugtig

Target group

Whether you are working with existing survey data, or intend to analyze your own data, if you want to know more about statistical analysis and estimation of surveys in the 21st century, this course is for you.

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).

This course assumes general knowledge of survey methodology and statistics. Participants should be acquainted with the basics of Analysis of Variance, Multiple Regression Analysis, standard errors, and have some hands-on experience with a statistical package (e.g., SPSS, Stata, SAS). No prior knowledge of R is assumed.

A maximum of 30 participants will be allowed in this course.

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: Course + course materials + housing
EUR 600: Course + course materials

Register for this course
on course website