What it can do for your business

IBM SPSS Complex Samples helps compute statistics and standard errors from complex sample designs by incorporating sample designs into survey analysis. This module of IBM SPSS Statistics offers planning tools such as stratified, clustered or multistage sampling. It can also produce a more accurate picture of your data because subpopulation assessments consider other subpopulations. You can reach correct point estimates, predict numerical and categorical outcomes from nonsimple random samples and account for up to three stages when analyzing data from a multistage design.

Improve accuracy of results

Increase the precision of your sample or ensure a representative sample from key groups. Employ multistage sampling to select a higher-stage sample.

Accelerate analysis, boost efficiency

Retain survey planning parameters. Publish data sets and reuse plans as templates. Select clusters or groups of sampling units to make surveys more cost effective.

Manage complex survey data

Display one-way frequency tables or two-way cross-tabulations. Build linear regression with ANOVA and ANCOVA. Estimate means, sums and ratios. And more.

Speed data and survey analysis

Use helpful wizards to specify how samples are defined and standard errors estimated; define schemes and draw samples. Select complex, probability-based samples from a population.

Key features

  • Accurate analysis of survey data
  • Regressions and general linear models
  • Wizards
  • Sample design information

Security and privacy in the cloud

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Accurate analysis of survey data
Accurate analysis of survey data
Regressions and general linear models
Regressions and general linear models
Sample design information
Sample design information

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