I'm running a hierarchical regression model in SPSS. I used multiple imputation to handle missing data (14 imputations) and then ran the regression. The regression is:
Step 1: 3 dummy coded predictors, 2 continuous predictors Step 2: 1 continuous predictor DV: Continuous outcome
SPSS generated individual output for my original data set plus each of the 14 imputations (15 sets of results total). If I need to report change in R2, the ANOVA results, and the significant coefficients, how do I combine these values from the imputed sets to get a pooled set of results? I've looked at Rubin's rules (http://sites.stat.psu.edu/~jls/mifaq.html#howto) but I'm not sure how to apply this to multiple regression. I would appreciate any advice, links, or examples on how to combine this output!