SPSS® 12.0 Command Syntax Reference

VARCOMP
Overview
Options
VARCOMP is available in the Advanced Models option.
VARCOMP dependent variable BY factor list [WITH covariate list]
/RANDOM = factor [factor ...]
[/METHOD = {MINQUE({1})**}]
{0}
{ML }
{REML }
{SSTYPE({3}) }
{1}
[/INTERCEPT = {INCLUDE**}]
{EXCLUDE }
[/MISSING = {EXCLUDE**}]
{INCLUDE }
[/REGWGT = varname]
[/CRITERIA = [CONVERGE({1.0E-8**})] [EPS({1.0E-8**})] [ITERATE({50**})]
{n } {n } {n }
[/PRINT = [EMS] [HISTORY({1**})] [SS]]
{n }
[/OUTFILE = [VAREST] [{COVB}] (filename) ]
{CORB}
[/DESIGN = {[INTERCEPT] [effect effect ...]}]
** Default if subcommand or keyword is omitted.
Example
VARCOMP Y1 BY B C WITH X1 X2
/RANDOM = C
/DESIGN.
The VARCOMP procedure estimates variance components for mixed models. Following the
general linear model approach, VARCOMP uses indicator variable coding to construct a
design matrix and then uses one of the four available methods to estimate the contribution
of each random effect to the variance of the dependent variable.
Regression Weights. You can specify regression weights for the model with the REGWGT
subcommand.
Estimation Methods. You can use one of the four methods available for estimating variance
components using the METHOD subcommand.
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