Applied Survey Data Analysis
Organizers
- Applied Statistics Lab (ASL)
- Quantitative Initiative for Policy and Social Research (QIPSR)
- Department of Political Science
Overview
Why do we need survey data analysis software? Most regular statistical software analyzes survey data as if the data were collected using simple random sampling, which is rarely the case. When surveys are stratified, clustered or weighted, we need special statistical software to estimate standard errors accurately and avoid a host of estimation errors.
This workshop provided participants with an introductory, hands-on overview of issues frequently encountered when analyzing survey data. The first part of the workshop reviews different sampling techniques, core statistical concepts, and methods of variance estimation. In the second part, participants receive hands-on experience in the analysis of survey data using the “svy” commands in Stata. Examples are drawn from the analysis of social science surveys such as the American National Elections Studies (ANES), General Social Survey (GSS), and AmericasBarometer surveys.
Program
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Mark Peffley, Professor, Department of Political Science and Director and QIPSR Arnold Stromberg, Chair, Department of Statistics and Co-Director, Applied Statistics Lab (ASL) |
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Introduction to Sampling Techniques: Simple Random Samples versus Complex Samples Abby Córdova, Assistant Professor, Department of Political Science Dominique Zéphyr, Data Analyst, Applied Statistics Lab (ASL) |
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Variance Estimation Techniques Arnold Stromberg, Chair, Department of Statistics and Co-Director, Applied Statistics Lab (ASL) |
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Analysis of Complex Survey Data using Stata, Do File, and Link to Data Dominique Zéphyr, Data Analyst, Applied Statistics Lab (ASL) |
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