More correctly and easily compute statistics for complex samples
With IBM SPSS Complex Samples software, you can:
- Get a more accurate picture of your data when working with large-scale surveys
- Achieve more statistically valid inferences for populations
- Reach correct point estimates for statistics such as totals, means and ratios and obtain standard errors of these statistics
- Predict numerical and categorical outcomes from nonsimple random samples
- Take up to three stages into account when analyzing data from a multistage design
Incorporate complex sample designs into your data analysis
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)
General linear models: Predict numerical outcomes while taking the sample design into account
Cox regression: Predict time to an event for samples drawn by complex sampling methods
Intuitive Sampling wizard: Guides you step by step through the process of designing and drawing a sample
Easy-to-use 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)
Easier collaboration with colleagues: More easily share sampling and analysis plans
More accurate analyses: Enables you to take up to three stages into account when analyzing data from a multistage design
A more precise picture of your data: Unlike traditional statistics, subpopulation assessments consider other subpopulations
System Screen
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Sampling Wizard
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Sampling Wizard – Design Variables
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Sampling Wizard – Output
