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Survey Data and Questionnaire Archives

Analysis of Survey Data

  • Choosing the Correct Analysis for Various Survey Designs, UCLA Academic Technology Services
  • Free Statistical Software; maintained by J. C. Pezzullo
  • Free Statistical Tools on the Web
  • IBM® SPSS® Complex Samples “helps make more statistically valid inferences by incorporating the sample design into survey analysis.”
  • R “provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.”
  • New SAS® Procedures for Analysis of Sample Survey Data
  • SDA (Survey Documentation and Analysis) "SDA is a set of programs for the documentation and Web-based analysis of survey data. SDA is developed and maintained by the Computer-assisted Survey Methods Program (CSM) at the University of California, Berkeley.
  • STATA®is “a fast, powerful statistical package designed for researchers of all disciplines.”
  • SUDAAN® “is an internationally recognized statistical software package that specializes in providing efficient and accurate analysis of data from complex studies. SUDAAN is ideal for the proper analysis of data from surveys and experimental studies, since SUDAAN procedures properly account for complex design features, such as correlated observations, clustering, weighting, and stratification.”
  • Summary of Survey Analysis Software
    “This page is a summary of available software for the analysis of surveys with complex sample designs. Specifically, it includes software that can do variance estimation with such survey data. It does not attempt coverage of the many excellent packages which do not have the particular features required to analyse such data. Information can be viewed by package or comparatively by topic."
  • WesVar®—Replication-Based Variance Estimation for Analysis of Complex Survey Data

Sampling and Power Analysis

Cell Phones

Statistical Power

Data Reduction

Guide to Social Science Data Preparation and Archiving: Best Practice throughout the Data Life Cycle (4th ed.). 2009. Inter-University Consortium for Political and Social Research, Ann Arbor, MI.

 Health Survey Research Methods