Survey Research: Statistical Analysis and Estimation

Knowledge of R is beneficial but not required if you have worked with SPSS, Stata, SAS or other statistical software already. Topics include coverage errors, 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.

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 (Utrecht University). 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 is for researchers who intend to design and analyze their own survey, but also for 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 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. No prior knowledge of R is assumed.

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 40 participants will be admitted to this course. Please note that the selection for this course will be done on a first-come-first-served basis.

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..

For an overview of all our summer school courses offered by the Department of Methodology and Statistics please click here.

We also offer tailor-made M&S courses and in-house M&S training. If you want to check out the possibilities, please contact us at ms.summerschool@uu.nl