Survey Research: Statistical Analysis and Estimation

About

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). 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), the International Social Survey Program (ISSP), SHARE, or other large-scale national or international survey data.

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 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, analysis of incomplete data, and measurement errors. Special attention will be given to the analysis of complex surveys, for example, weighting, stratification, and design effects.

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 statistical software such as SPSS, Stata, SAS.
Prior knowledge of R is beneficial but not required.

A good preparation is our Summer School course ‘Survey Research: Design, Implementation and Data Processing’ (S15).

Participants need a laptop computer with R or SPSS installed for the computer practicals

Course leader

Dr. Bella Struminskaya

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).

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). Prior knowledge of R is beneficial but not required. . Help/code will be provided for R but not other software.

We also offer tailor-made M&S courses and in-house M&S training. If you want to look at the possibilities, please contact Dr. Laurence Frank at pe.dsai@uu.nl

Course aim

This course aims to provide participants with state of the art knowledge and application oriented skills for survey analysis and estimation. 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