Buy Now
What's New in SPSS Categories 14.0
A new procedure in SPSS Categories enhances this module�s functionality.
Preference scaling (PREFSCAL), available in syntax only, visually examines relationships between variables. This procedure performs multidimensional unfolding on two sets of objects in order to find a common quantitative scale.
Using PREFSCAL, you can:
- Read one or more rectangular matrices of proximities
- Read weights, initial configurations, and fixed coordinates
- Optionally transform proximities with linear, ordinal, smooth ordinal, or spline functions
- Specify multidimensional unfolding with identity, weighted Euclidean, or generalized Euclidean models
- Specify fixed row and column coordinates to restrict the configuration
- Specify initial configuration (classical triangle, classical Spearman, Ross-Cliff, correspondence, centroids, random starts, or custom), iteration criteria, and penalty parameters
- Specify plots for multiple starts, initial common space, stress per dimension, final common space, space weights, individual spaces, scatterplot of fit, residuals plot, transformation plots, and Shepard plots
- Specify output that includes the input data, multiple starts, initial common space, iteration history, fit measures, stress decomposition, final common space, space weights, individual spaces, fitted distances, and transformed proximities
- Write common space coordinates, individual weights, distances, and transformed proximities to a file
Buy Now
