The Ratio Statistics procedure provides a comprehensive list of summary statistics for describing the ratio between two scale variables.

Multidimensional scaling attempts to find the structure in a set of distance measures between objects or cases.

Reliability analysis allows you to study the properties of measurement scales and the items that compose the scales.

Multiple Response Define Sets

Multiple Response Frequencies

Multiple Response Crosstabs

Nonparametric tests make minimal assumptions about the underlying distribution of the data.

This procedure attempts to identify relatively homogeneous groups of cases (or variables) based on selected characteristics, using an algorithm that starts with each case (or variable) in a separate cluster and combines clusters until only one is left.

The TwoStep Cluster Analysis procedure is an exploratory tool designed to reveal natural groupings (or clusters) within a dataset that would otherwise not be apparent.

This procedure attempts to identify relatively homogeneous groups of cases based on selected characteristics, using an algorithm that can handle large numbers of cases. However, the algorithm requires you to specify the number of clusters.

Cluster analyses can be performed using the TwoStep, Hierarchical, or K-Means Cluster Analysis procedure. Each procedure employs a different algorithm for creating clusters, and each has options not available in the others.

Factor analysis attempts to identify underlying variables, or factors, that explain the pattern of correlations within a set of observed variables. Factor analysis is often used in data reduction to identify a small number of factors that explain most of the variance that is observed in a much larger number of manifest variables.