Multidimensional Unfolding 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 for display:
- Input data. Includes the original proximities and, if present, the data weights, the initial configuration, and the fixed coordinates.
- Multiple starts. Displays the random number seed and penalized stress value of each random start.
- Initial data. Displays the coordinates of the initial common space.
- Iteration history. Displays the history of iterations of the main algorithm.
- Fit measures. Displays different measures. The table contains several goodness-of-fit, badness-of-fit, correlation, variation, and nondegeneracy measures.
- Stress decomposition. Displays an objects, rows, and sources decomposition of penalized stress, including row, column, and source means and standard deviations.
- Transformed proximities. Displays the transformed proximities.
- Final common space. Displays the coordinates of the common space.
- Space weights. Displays the individual space weights. This option is available 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.
- Individual spaces. The coordinates of the individual spaces are displayed. This option is available only if one of the individual differences models is specified.
- Fitted distances. Displays the distances between the objects in the configuration.
Save to New File. You can save the common space coordinates, individual space weights, distances, and transformed proximities to separate IBM® SPSS® Statistics data files.
To Obtain Output in Multidimensional Scaling
This feature requires SPSS Statistics Professional Edition or the Categories option.
- From the menus choose:
- In the Multidimensional Unfolding dialog box, click Output.