On 9-Apr-2004, [EMAIL PROTECTED] (Paul Benson) wrote: > [EMAIL PROTECTED]
> Hi. I just posted a question on h. regression. Maybe it would > be useful to provide some specifics of my analysis. My DV is > a measure of parent involvement in the education of their disabled > child. I actually enter only 3 groups of IVs, not 4. My DVs were > grouped and entered in the analyses thusly: > > 1. a measure of family SES; > 2. 2 measures of child functioning; and > 3. 2 measures of social support (1 family support, 1 school support). > > In equation 1 -- SES is highly significant. > In equation 2 --SES significance dropped by ns (.156) and the child > functioning measures are > both significant at the .05 level. > In equation 3 -- SES and the child functioning measures become > insignificant and the 2 newly > measures both are highly significant at the .01 level or better. > Overall the > r-squared of these models are .06, .15. and .42 so the support > measures are > really the critical predictors of parent involvement here. Paul, I believe that there may be other types of models that will handle your problem better than regression. Specifically, I believe a decision tree would do a better job of handling the interactions and categorical variable (social support). It would also yield a model (tree) that would be more easily understandable than a pure mathematical function. I am the author of a decision tree program called DTREG, and I would be happy to run your data through DTREG for you to see how the tree model compares with the regression model. Phil Sherrod . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
