Multidimensional Scaling Output

The Output dialog box allows you to control the amount of displayed output and save some of it to separate files.

Display. Select one or more of the following items for display:

• Common space coordinates. Displays the coordinates of the common space.
• Individual space coordinates. The coordinates of the individual spaces are displayed only if the model is not the identity model.
• Individual space weights. Displays the individual space weights only if one of the individual differences models is specified. Depending on the model, the space weights are decomposed in rotation weights and dimension weights, which are also displayed.
• Distances. Displays the distances between the objects in the configuration.
• Transformed proximities. Displays the transformed proximities between the objects in the configuration.
• Input data. Includes the original proximities and, if present, the data weights, the initial configuration, and the fixed coordinates of the independent variables.
• Stress for random starts. Displays the random number seed and normalized raw stress value of each random start.
• Iteration history. Displays the history of iterations of the main algorithm.
• Multiple stress measures. Displays different stress values. The table contains values for normalized raw stress, Stress-I, Stress-II, S-Stress, Dispersion Accounted For (DAF), and Tucker's Coefficient of Congruence.
• Stress decomposition. Displays an objects and sources decomposition of final normalized raw stress, including the average per object and the average per source.
• Transformed independent variables. If a linear combination restriction was selected, the transformed independent variables and the corresponding regression weights are displayed.
• Variable and dimension correlations. If a linear combination restriction was selected, the correlations between the independent variables and the dimensions of the common space are displayed.

Save to New File. You can save the common space coordinates, individual space weights, distances, transformed proximities, and transformed independent variables to separate IBM® SPSS® Statistics data files.

To Obtain Output in Multidimensional Scaling

This feature requires SPSS Statistics Professional Edition or the Categories option.

1. From the menus choose:

   Analyze > Scale > Multidimensional Scaling (PROXSCAL)...

2. Make the appropriate selections in the Data Format dialog box and click Define.
3. In the Multidimensional Scaling dialog box, click Output.