SPSS Base 13.0 for Mac OS X is further enhanced by the addition of two new add-on modules and updates to several add-on modules. These new and enhanced modules are described below. Click here for more information on all nine of the add-on modules available in SPSS 13.0 for Mac OS X.
SPSS Classification Trees enables you to better identify groups, discover relationships between groups, and predict future events. Create highly visual classification and decision trees that allow you to present categorical results in an intuitive manner—so you can more clearly explain categorical results to non-technical audiences. You can easily explore your results and visually determine how models flow. This can help you find specific subgroups and relationships that you might not uncover using more traditional statistics.
SPSS Classification Trees diagrams are easy to interpret. Use the highly visual trees to discover relationships that are currently hidden in your data.
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SPSS Classification Trees includes four established tree-growing algorithms:
Do you analyze data from survey or market research, public health datasets, or government agencies? Do you use sample survey methodology in your research, or are your data likely to come from a public-use dataset that includes complex sample designs? If you do, you need SPSS Complex Samples.
Complex sample designs require specialized statistical techniques to account for the sample design and its associated standard errors. SPSS Complex Samples provides the specialized planning tools and statistics you need when working with sample survey data. It enables you to make more statistically valid inferences for a population by incorporating the sample design into survey analysis. Two algorithms—complex samples general linear model (GLM) and complex samples logistic regression—enable you to more accurately work with numerical and categorical outcomes in complex sample designs.
SPSS Complex Samples provides you with specialized tools and procedures, such as the Sampling Plan Wizard shown here, for working with sample survey data.
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With SPSS Tables’ new interactive table preview builder, you can simplify the creation of custom tables by previewing tables as you build them. Simply drag your variables onto the table preview builder and make adjustments as necessary. Gain a high level of control over the layout and appearance of your tables by using category management features. For example, make your tables more precise by changing variable types or excluding categories. Additionally, use inferential statistics (or significance testing) in your tables to perform common analyses. SPSS Tables includes the following statistics:
All of these enhancements make it easier for you to summarize and communicate even the most complicated results in a presentation-ready table format.
Easily find the best predictor from dozens of possible predictors by using the new stepwise function in multinomial logistic regression (MLR).
The new multiple correspondence analysis procedure in SPSS Categories greatly enhances this add-on module’s functionality. Use it to reveal the underlying relationships between two or more nominal variables when similar categories are grouped close to one another in a chart.
The linear mixed models procedure enables you to model means, variances, and covariances in your data. Several new techniques to help you create more accurate predictive models are now included in this procedure. For example, you can:
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