These four programs for PCs accompany the paper: Crawford, J. R., Garthwaite, P.H., Denham, K.A., & Chelune, G.J. (2012). Using regression equations built from summary data in the psychological assessment of the individual case: extension to multiple regression. Psychological Assessment, 24, 801-814. (doi: 10.1037/a0027699).
There is a wealth of data that could be used to build regression equations for use in psychological assessment, in turn these equations could be used to draw inferences concerning individual cases. The aim of these programs and accompanying paper is to help provide access to such data. The programs and paper are an extension of Crawford & Garthwaite's (2006; 2007) work on the use of regression in the individual case. The program RegBuild_MR.exe builds a multiple regression equation for the user from summary data (the correlation matrix for the predictor and criterion variables, and their means and SDs). Having built the equation, the program then permits the user to compare an individual's predicted score with the individual's obtained score. That is, it provides a significance test on the discrepancy between the obtained and predicted score. It also provides a point estimate of the abnormality of the discrepancy (i.e., a point estimate of the percentage of the population exhibiting a larger discrepancy) and accompanying confidence limits on this quantity. It also provides a point and interval estimate of the effect size for the discrepancy between obtained and predicted scores. Click here to download the program. A reviewer of an earlier version of the above paper suggested that it would be useful to be able to apply the methods using raw data from a normative or control sample, rather than summary data. To cater for this, a companion program was written, RegBuild_MR_Raw.exe. To use this program the user needs to prepare a text file containing the raw data from the control or normative sample (the program's information panel provides full guidance on how to do this). To download RegBuild_MR_Raw.exe click here. Crawford & Garthwaite (2007) provided programs for building and applying bivariate regression equations from summary data (i.e., equations using only one predictor variable). As noted above, in the course of developing the present methods for building multiple regression equations, we also developed methods for obtaining point and interval estimates of the effect size for the discrepancy between obtained and predicted scores. As this is a useful feature, we have upgraded Crawford & Garthwaite's (2007) programs to incorporate these point and interval estimates of effect sizes. These programs are differentiated from the original versions by use of a "ES" (effect size) suffix . Click here to download the upgraded bivariate regression program, Regbuild_ES.exe, and click here to download the upgraded bivariate regression program, Regbuild_t_ES.exe (this latter program can be used when the correlation between predictor and criterion variable is not available - see paper for details).Your web browser is most probably configured to recognise that the files are executable. If you have any problems (i.e. the browser treats them as text files), hold down the shift key when clicking.
Once downloaded, the programs can be run by any of the normal Windows procedures i.e. by clicking on file in File Manager or by placing on desktop etc.
The author of this software (John R Crawford) and the University of Aberdeen make no representations about the suitability of the software or about any content or information made accessible by the software, for any purpose.
The software is provided 'as is' without express or implied warranties, including warranties of merchantability and fitness for a particular purpose or noninfringement.
The software is provided gratuitously and, accordingly, the author shall not be liable under any theory or any damages suffered by you or any user of the software.
If there are any problems please e-mail me at j.crawford@abdn.ac.uk. Further contact details are available in the footer of this page.
