Workspace Node: Goodness of Fit - Specifications - Advanced Tab

In the Goodness of Fit node dialog box, under the Specifications heading, select the Advanced tab to access the following options.

Note: Computations. In this module, casewise deletion of missing data is used to process the data. This may cause different results if you select different variables. For example, if you calculate goodness of fit statistics for Y, X1 and X2, then recalculate those statistics for Y, X1, X2 and X3, when X3 has missing data, the results will be different. If all cases are deleted by the casewise deletion method, an error message will be issued and the analysis will stop. Additionally, if a selected variable has no variance and correlation coefficient statistics have been selected, an error message will be issued and the analysis will stop.
Element Name Description
Statistics for Continuous DV Select the respective goodness of fit statistics to compute for the continuous (observed vs. predicted) variables; these options are not available if the Variable type is set to Categorical (classification). For more information about these statistics, see Computational Details.
Least square deviation (LSD) Select this check box to compute the ordinary least-squares goodness of fit statistics; the Results - Quick tab Summary spreadsheet will include the Mean square error goodness of fit statistic.
Average deviation Select this check box to compute the average absolute deviations of the predicted values from the observed values; the results summary spreadsheet will include the Mean absolute error goodness of fit statistic.
Relative squared error Select this check box to compute the relative squared error (relative to the observed values); see Computational Details for more information.
Relative absolute error Select this check box to compute the relative absolute error (relative to the observed values); see Computational Details for more information.
Correlation coefficient Select this check box to compute the standard Pearson product-moment correlation coefficient for the observed vs. predicted values.
Statistics for Categorical DV Select the respective goodness of fit statistics to compute for the categorical variables (observed vs. predicted classifications); these options are not available if the Variable type is set to Continuous. For more information about these statistics, see Computational Details.
Chi-square Select this check box to compute the Pearson Chi-square statistic of goodness of fit.
G-square (Maximum-Likelihood) Select this check box to compute the G-square goodness of fit statistic.
Percent disagreement (misclassification rates) Select this check box to compute the percent disagreement of the observed vs. predicted classifications.

Options / C / W. See Common Options.

OK Click this button to accept all the specifications made in the dialog box and to close it. The analysis results are placed in the Reporting Documents node after running (updating) the project.