2015 Summer School on Survey Design

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Whether you are working with survey data, or intend to carry out a survey yourself, if you want to know more about designing and analyzing surveys these courses are for you!

2015 Summer School on Survey Design

Utrecht University and Statistics Netherlands

Location: Utrecht

August, 17-21:Survey Research: Design, Implementation and Data Processing
This course covers the foundations of modern survey methodology and analysis. Topics covered include survey design, questionnaire construction and testing, different modes of data collection (including web and mixed mode), basic survey analysis techniques such as non-response analysis and scale construction, and special issues in official statistics.
Guidelines for different phases of the survey from design to implementation, analysis and reporting will be discussed.

August, 24-28: Survey Research: Statistical Analysis and Estimation This course is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for prevention and adjustment for such errors. Analysis methods are introduced using both SPSS and R. Topics include measurement error, nonresponse adjustment, analysis of incomplete data and the analysis of complex surveys that include weighting, stratification and design effects. International comparative and longitudinal surveys are included, as well as how to deal with administrative data.

One can sign up for either one or both courses. Online application is possible at
http://www.utrechtsummerschool.nl/courses/social-sciences/survey-resear…
and
http://www.utrechtsummerschool.nl/courses/social-sciences/survey-resear…

The site also provides practical information about the location, housing, etc. If clicking on the URL does not work: please copy and past it into your favorite browser

The Department of Methodology and Statistics, Social Sciences, Utrecht University, also organizes one week summer courses in Applied multivariate analysis, Multilevel analysis, Statistical programming with R, and M-Plus (introductory and advanced) and postgraduate courses. For more information and registration, see: www.uu.nl/postgraduatems

Prof. Dr. Edith D. de Leeuw
MOA-professor Department of Methodology and Statistics, Utrecht University

e-mail edithl@xs4all.nl