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In addition to plotting predicted values for individual level-2 units using level-1 equations, users can also examine the distributions of the level-1 errors or residuals (see Equation 3.63 on p. 50 in Hierarchical Linear Models). The plots allow users to graphically examine the assumptions about the level-1 residuals and to identify cases for which the model provides a particularly poor fit. We continue to use vocab.mdm to illustrate this graphing procedure.
After the model is run, select Graph Equations...Level-1 box whisker from the File menu, which will give us the following dialog box.
Note that the variable for Y-axis, level-1 residual has been pre-selected.
Select All groups (n=22) in the Number of groups field to include all the 22 children in the display. Click the selection button for median in the Sort by section to arrange the plots by median order. Click OK. The following graph will appear.
The box-and-whisker plots provide side-by-side graphical summaries of the level-1 residuals for each level-2 units. The plots suggests that the underlying model assumptions may not be tenable. First, quite a number of the distributions are highly asymmetric, such as the last one from the left. Thus, the normality assumption may not hold. There seems to be heterogeneity of variance as well, judging from the wide disparities in the box lengths. The non-constant residual spread may suggest an omission of important effects from the model. However, there are no extreme values or outliers in any of the 22 plots.
Users can (optionally) look at the EB estimates for any child by clicking on the corresponding box-and-whisker plot. A level-2 classification variable can also be included when examining the level-1 residuals.
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Model based graphs: Level-1 residual box-and-whisker plots
