Copyright(or -left) Notice:
The programs provided on this webpage are free software; you can redistribute and/or
modify them under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.
The programs are distributed in the hope that they will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
- SAS macro implementing the alternative multiple imputation estimator as described in:
Lee, T., & Cai, L. (2012). Alternative multiple imputation inference for mean and
covariance structure modeling. Journal of Educational and Behavioral Statistics, 37, 675-702.
- SAS macro implementing the Supplemented EM based procedure for testing mean and
covariance structure models under missing data as described in:
Cai, L. (2008). SEM of another flavour: Two new applications of the supplemented
EM algorithm. British Journal of Mathematical and Statistical Psychology, 61,
Cai, L. & Lee, T. (2009). Covariance model fit testing under missing data:
An application of the supplemented EM algorithm. Multivariate Behavioral Research, 44, 281–304.
Gradient projection algorithm for
rotation in factor analysis. This is a GAUSS implementation of Bernaards and Jennrich's
method. For details, please refer to:
Bernaards, C.A. &
Jennrich, R.I. (2005). Gradient Projection Algorithms and Software
for Arbitrary Rotation Criteria in Factor Analysis. Educational and
Psychological Measurement, 65, 676-696.
- Multi-response Permutation Procedure (MRPP): implementation in
SPSS. The macros implementing the
Multiresponse Permutation Procedure can be downloaded
from here. The output can be downloaded from here. Here is an accompanying white paper that explains
the macros. The correct way to cite the macros is:
Cai, L. (2006). Multi-response
permutation procedure as an alternative to the analysis of variance: An
SPSS implementation. Behavior
Research Methods, 38, 51-59.
- Heteroscedasticity-Consistent (HC) Covariance Matrix
Estimators implementation in SPSS as a macro program using the Matrix
Language computing environment. This is an on-going collaborative
work with Dr. Andrew
Hayes at the
macro can be downloaded from here.
Please go to Dr. Hayes's website for more information on HC methods.
- Assessing co-termination between coders in
unitizing textual data: A Multi-response Randomized Blocks Permutation
approach. Paper presented at the 2003 Convention of the
Association for Education in Journalism and Mass Communication, Kansas
download the paper and the accompanying GAUSS code in PDF format, click
here. For a fuller treatment of this
topic, you may also wish to download a copy of my
thesis for your evaluation.