STATISTICA Multivariate Exploratory Techniques
Factor analysis
he Factor Analysis module contains a wide range of statistics and
options, and provides a comprehensive implementation of factor (and
hierarchical factor) analytic techniques with extended diagnostics and
a wide variety of analytic and exploratory graphs. It will perform
principal components, common, and hierarchical (oblique) factor
analysis, and can handle extremely large analysis problems (e.g., with
thousands of variables).
The following modules are also included:
- Principal Components & Classification Analysis
- Canonical Correlation Analysis
- Reliability/Item Analysis
- Classification Trees
- Correspondence Analysis
- Multidimensional Scaling
- Discriminant Analysis
- General Discriminant Analysis Models (GDA)
More information on these modules can be found on the developer's web site.