Feature spotlights

Accurate analysis of survey data

Start with one of the wizards. Then use the interactive interface to create plans, analyze data and interpret results. Each plan acts as a template and allows you to save decisions. Then use the procedures specifically developed for complex samples to predict numerical, ordinal and categorical outcomes or time to a specific event.

Regressions and general linear models

Logistic regression: predict categorical outcomes (for example, who is most likely to buy your product) while taking the sample design into account to more accurately identify groups. Ordinal regression: predict ordinal outcomes such as customer satisfaction (low, medium or high). Cox regression: predict time to an event for samples drawn by complex sampling methods. General linear models: predict numerical outcomes while taking the sample design into account.


An intuitive sampling wizard guides you through the process of designing and drawing a sample. The analysis preparation wizard helps prepare public-use data sets for analysis, such as the National Health Inventory Survey data from the Centers for Disease Control and Prevention (CDC).

Sample design information

Stratified sampling: increase the precision of your sample or help ensure a representative sample from key groups by choosing to sample within subgroups of the survey population. Clustered sampling: select clusters—groups of sampling units. Multistage sampling: select an initial sample based on groups of elements in the population; then create a second-stage sample by drawing a subsample from each selected unit in the first-stage sample.

See all module features in license versions

For the full list of features in this module, click this link to a PDF with all modules and features in the license versions.

Compare different SPSS Statistics packages

This module is part of the SPSS Statistics traditional license packages. SPSS Statistics comes in two deployment options, traditional license or subscription version. To compare all the various SPSS Statistics packages and learn where this module fits in, visit this page. Note: Modules are only compatible with traditional license versions. The Subscription version wraps the same features inside three optional Subscription Add-ons.

Technical details

Software requirements

IBM SPSS Complex Samples requires a valid IBM SPSS Statistics Base license.

  • Prerequisite: IBM SPSS Statistics

Hardware requirements

  • Processor: 2 GHz or faster
  • Display: 1024 × 768 or higher
  • Memory: 4 GB of RAM required, 8 GB of RAM or more recommended
  • Disk Space: 2 GB or more

Next Steps

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