That approach, however, is somewhat opaque, cumbersome, and limited in its applicability, so here we present an alternative approach, namely, implementing the proper equations to directly estimate the random effects based on the model estimates and observed data. In past offerings of our multilevel modeling workshop, we provided syntax that back-solved for the random effect estimates using the model-implied predicted outcome values (which SPSS will nicely output). There is more than one way to coax SPSS into providing us with the random effect estimates.
Spss version 25 student software#
Thus, we would like to be able to obtain these estimates from SPSS, just as we can with other software options for fitting multilevel models. Sometimes it is also of interest to rank cases by the estimated values of the random effects, or to use the random effect estimates for the purpose of plotting individual trajectories (particularly in the presence of covariates). 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. Obtaining estimates of the random effects can be useful for a variety of purposes, for instance to conduct model diagnostics. Unlike many other programs, however, one feature that SPSS did not offer prior to Version 25 is the option to output estimates of the random effects. 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). The current page indicates how random effect estimates can be generated in prior versions of SPSS.
![spss version 25 student spss version 25 student](https://zid.univie.ac.at/fileadmin/user_upload/d_zid/zid-open/daten/arbeitsplatz-software-hardware/u_soft/SPSS_25/11.png)
Spss version 25 student how to#
Please see our instructions on how to use this new approach. The Output Management System (OMS) can then be used to save these estimates to a data file. Note: As of version 25, SPSS now includes an option to print the random effect estimates to the output window (by including the SOLUTION option on the /RANDOM subcommand).
![spss version 25 student spss version 25 student](https://images.sftcdn.net/images/t_app-cover-l,f_auto/p/03886d52-96d1-11e6-aec3-00163ed833e7/4289473114/spss-SPSS_5.png)
Generating and Saving Random Effect Estimates in SPSS