Plots involving these estimates can help to evaluate whether the random effects are plausibly normally distributed, whether there are extreme values, and whether predictors may have omitted nonlinear effects. These estimates are useful for a variety of purposes, for instance to conduct model diagnostics. Saving estimates of the random effects to a data file can, however, be a bit tricky in SPSS. Like SAS, Stata, R, and many other statistical software programs, SPSS provides the ability to fit multilevel models (also known as hierarchical linear models, mixed-effects models, random effects models, and variance component models). On a separate page, we provide information on how to generate and save random effect estimates in earlier versions of SPSS that do not have this option. The instructions below illustrate how to use these options. The Output Management System (OMS) can then be used to save these estimates to a data file. ![]() Note: As of version 25, SPSS includes an option to print the random effect estimates to the output window. ![]() Generating and Saving Random Effect Estimates in SPSS
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