Categorized Missing and 'Out of Range' Data Plots - Advanced Tab

Graphical Analytic Techniques

Select the Advanced tab of the Categorized Missing and 'Out of Range' Data Plots dialog to access the options described here.

Layout. Select the type of layout for the graph(s).

Separate. Select this option button to produce a Separate plot layout (where each subset of cases is displayed in a separate graph) for the categorized plots.

Overlaid. Select this option button to produce an Overlaid plot layout (where all subsets are overlaid in one graph and identified by patterns and colors) for the categorized plots.

Variables. Click the Variables button to display the standard variable selection dialog, in which you can select the variable(s) to be plotted and the grouping variable to be categorized for the graph. The variable(s) that you select here will be plotted on the x-axis in the graph (against Cases on the y-axis). Note that the selected grouping variable does not have to be categorical (e.g., contain codes); you can use one of the Methods of Categorization to categorize continuous variables. The selection of a grouping variable is not necessary if the categories are defined via the Multiple Subsets method.

Intervals. These options are used to choose the method of categorization for the missing data or 'out of range' graph (i.e., for the grouping variable that will be used to categorize values of the dependent variable(s) in each small graph). (Note that grouping variables do not need to be specified if Multiple Subsets categories are selected.) Each of the methods is discussed in Method of Categorization.

Missing data. Select Missing Data to display missing data points along with 'out of range' points for the specified variables. Select Outliers to display the outliers in the graph, or select Both to display missing data and outliers.

Specify range for outliers. 'Out of range' values can be defined using the Min and Max edit fields for the respective variable (selected by clicking the Vars button). Values which fall above or below the defined range will be plotted in the graph. Missing data values can be displayed along with the 'out of range' values by selecting missing data above. A different point pattern will be used for each defined range.