MODEL Statement
The following new and updated options are available in
the MODEL statement after a slash (/).
-
PARTIALR2 < ( < TESTS > < SEQTESTS > ) >
-
See the SCORR1 option.
-
SCORR1 < ( < TESTS > < SEQTESTS > ) >
-
displays the squared semi-partial correlation
coefficients using Type I sums of squares.
This is calculated as SS/SST, where
SST is the corrected total SS.
If the NOINT option is used, the uncorrected
total SS is used in the denominator.
The optional arguments TESTS and SEQTESTS request
F-tests, p-values, and cumulative R-Square values as variables
are sequentially added to a model. The F-test values are
computed as the Type I sum of squares for the variable in question
divided by a mean square error. If you specify the TESTS option,
the denominator MSE is the residual mean square for the full model
specified in
the MODEL statement. If you specify the SEQTESTS option, the
denominator MSE is the residual mean square
for the model containing all the independent
variables that have been added to the model up to and including
the variable in question. The TESTS and SEQTESTS options are not
supported if you specify model selection methods, or if you
specify the RIDGE or
PCOMIT options. Note that the PARTIALR2
option is a synonym for the SCORR1 option.
-
SCORR2 < ( TESTS ) >
-
displays the squared semi-partial correlation
coefficients using Type II sums of squares.
These are calculated the same way as with the SCORR1 option, except
that Type II SS are used instead of Type I SS. The optional TEST
argument requests F-tests, p-values, and cumulative R-Square values
as variables are sequentially added to a model. The F-test values are
computed as the Type II sum of squares for the variable in question
divided by the residual mean square for the full model specified in
the MODEL statement. The TESTS option is not
supported if you specify model selection methods, or if you specify
the RIDGE or PCOMIT options.
Copyright © 2001 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
