Analyze Data Online
Sometimes NACJD users can perform analytical procedures (e.g., correlations, crosstabs, descriptive statistics), create custom subsets, and browse codebooks online. Online data analysis is supported using the Survey Documentation and Analysis (SDA) software. Some of the datasets we provide for online analysis are restricted-use, meaning users must apply to use them. Other datasets we provide are freely available to anyone with an ICPSR account.
Survey Documentation and Analysis
When a study is available for online analysis, you can:
- Search for variables of interest
- Review frequencies or summary statistics of variables to determine what analyses are appropriate for your project
- Review frequencies or summary statistics for missing data
- Produce simple summary statistics for reports
- Create tables using raw data
- Create a subset of cases or variables from a larger collection to save time and storage space, then download it to your personal computer
Features of SDA
The SDA program was originally developed and is currently maintained by the Computer-Assisted Survey Methods Program at the University of California – Berkeley. Online documentation for this system is available. In addition, NACJD offers a web-based SDA Tutorial; a video tutorial, An Overview of SDA and Its Features; and a webinar and corresponding PowerPoint slides, Analyze Data Online on Demand: An Introduction to SDA.
The following features are currently available:
- Browse a codebook
- Perform different statistical procedures, such as listing values for individual cases, calculating frequencies, running crosstabulations, comparing means, creating correlation matrices, and running Ordinary Least Squares (OLS) regressions
- Manipulating and recoding variables
- Computing new variables
- Listing newly created variables
- Creating customized subsets of selected variables
- Downloading the entire data collection or a customized subset, including:
- An ASCII data file with optional delimiters
- SAS, SPSS, or Stata setup files
- Codebooks, tailored to fit your custom subset of data