Hello all,
I really need a hand with a regression analysis for my thesis. I'll try as best I can to summarize/explain. I have a DV, time on task. I have a number of IVs, demographics of the participant, cognitive tests. Generated a series of bivariate correlations for time on task. Took all significant correlates of Time On Task (11 variables) and entered them in a hierarchical regression, the ordering based on the strength of the correlation. My problem/question is this: models 1, 2, 3, and 7 are significant. 4, 5, 6 are not. What the heck do I report? Do I do a new regression based on this? If I report model 7 as significant, do I report that the variables added in 4 - 6 were not significant? And while I am at it, in the coefficients table, one of the variables in model seven is listed as significant, and in the final model (all 11 variables) only two are significant? What the heck do I report here? . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
