Powerful modeling techniques for analysing complex relationships


Improve the accuracy of your analysis and the dependability of your conclusions with statistics designed for complex relationships. As a module of IBM SPSS Statistics, IBM SPSS Advanced Statistics provides a set of sophisticated uni-variate and multi-variate analytical techniques and models: generalized linear mixed models (GLMM), general linear models (GLM), mixed models procedures, generalized linear models (GENLIN) and generalized estimating equations (GEE) procedures. Gain deeper insights from data to help solve real-world problems in disciplines such as medical research, manufacturing, pharmaceuticals and market research.

Contact Us

Move beyond basic analysis

Improve analysis for multiple outcomes or outcomes over time, analyze data with hierarchical structure or estimate length of time until an event.

Build flexible models

The GLM procedure enables you to describe the relationship between a dependent variable and a set of independent variables. Models include linear regression, ANOVA, ANCOVA, MANOVA and MANCOVA.

Work better with nested-structure data

The linear mixed models procedure expands upon the models used in the GLM procedure so that you can analyze data that exhibit correlation and non-constant variability.


Explore detailed information about this product, its uses and how it can help your business.

See how it works

See a brief demo of advanced modeling options for data with unique characteristics

Watch >>

More accurately analyze complex relationships

Improve analysis and conclusions with statistics designed to work with data describing complex relationships

Download datasheet >>

Features spotlight

  • Generalized estimating equations (GEE) procedures
  • Generalized linear mixed models (GLMM)
  • Linear mixed models/hierarchical linear models (HLM)
  • Generalized linear models (GENLIN)


Improve the accuracy of predictions with advanced regression procedures

Learn More >>

Summarize IBM SPSS Statistics data in different styles for different audiences

Learn More >>

Streamlines the data preparation process so that you can get ready for analysis faster and reach more accurate conclusions

Learn More >>

Quickly develop reliable forecasts and predict trends using time-series data

Learn More >>

Interested to find out how analytics can help you achieve your goals?
Contact us today!