Assuming a set of 20 continuous variables, are there specific reasons for *not* combining the results of 5 MI data sets before doing regression analyses (e.g., by computing value estimates by averaging across the 5 values per variable) instead of combing the parameter estimates that are generated from each of the 5 models run seperately)?
thanks, Steve -- Stephen C. Peck Senior Research Associate Social Science University of Michigan 204 S. State St. # 1239 Ann Arbor, MI 48109-1290 (734) 647-3683; fax (734) 936-7370 [email protected] http://www.rcgd.isr.umich.edu/garp/
