SPSS Statistics Base
The basic version (= basic module) for all bivariate and descriptive statistical methods, factor and cluster analyses and for calculating linear regression models. Additional modules (add-ons) can be booked with the basic licence.
SPSS Custom Tables Module
For the presentation-ready display of results and the convenient administration of multiple answer sets.
SPSS Data Preparation Module
For more efficient data preparation, cleaning and validation.
SPSS Categories Module
For product research and attitude measurement, especially for categorical data.
SPSS Forecasting Module
For optimising forecasts with powerful time series tools.
SPSS Conjoint Module
For identifying consumer preferences, optimising products and effective pricing.
SPSS Neural Networks Module
For discovering additional patterns within the data and building predictive models for informed decision making.
SPSS Complex Samples Module
For analysing statistical data and interpreting survey results from complex samples.
SPSS Advanced Statistics Module
Add-on module for the analysis of complex correlations with high-end modelling tools, including generalised, linear, mixed models or Cox regression analysis.
SPSS Regression Module
For better predictions using powerful, non-linear regression methods.
SPSS Missing Values Module
For statistical algorithms to more easily detect missing patterns and impute missing data.
SPSS Decision Trees Module
For creating classification and decision trees.
SPSS Bootstrapping Module
For testing model stability using bootstrapping.
SPSS Exact Tests Module
For statistical tests with small sample sizes or low cell population in single categories.
SPSS Direct Marketing Module
Add-on module designed to improve the results of direct marketing campaigns by identifying demographic, purchasing and other characteristics that define different groups of customers, and by focusing on specific groups to maximise positive response rates, provides.
SPSS Amos (standalone client)
IBM SPSS Amos lets you use structural equation modelling to test hypotheses about complex variable relationships and gain new insights.