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Key words: spss, advanced, models, spss
SPSS Advanced Models
Analyze Complex Relationships Using a High-end Modeler's Toolkit
SPSS Advanced Models 16.0 enhancements
SPSS Advanced Models includes generalized linear models (GENLIN) and generalized estimating equations (GEE) procedures. These procedures help address a wide range of statistical modeling problems. For example, they
can be used to more accurately predict ordinal outcomes, such as customer satisfaction.
Enhancements available in SPSS 16.0 enable analysts to predict outcomes that are a combination of discrete and continuous outcomes—such as claim amounts—using a Tweedie distribution.
Make your analysis more accurate and reach more dependable conclusions with procedures designed to fit the inherent characteristics of your data. SPSS Advanced Models
provides a powerful set of sophisticated univariate and multivariate analytical techniques for real world problems.
SPSS Advanced Models has the procedures you need to move beyond basic data analysis. These procedures include:
- General Linear Models (GLM): have more flexibility to describe the relationship between a dependent variable and a set of independent variables.
- Linear Mixed Models: create more accurate models when working with nested-structure data.
- PoLytomous Universal Model (PLUM): easily model your ranked outcomes.
- And more.
Advanced Models Requirements
- SPSS Base 13.0
- 2 MB hard drive space
For information on Advanced Models Data Analysis, click here!
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Key words: spss, advanced, models, spss
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