Re: [amelia] Compare imputation results

Hi Alicia & Matt Many thanks for your exhaustive answers. I'm very grateful for your kind help. Le Jeudi 18 septembre 2014 14h51, Alicia Doyle Lynch <aliciadlynch(a)gmail.com> a écrit : Hi Mouna - I wouldn't necessarily agree that the "best result" is the mean pre-imputation value for each variable. Part of the reason for doing imputation is because attrition, non-response, etc. may have introduced biases to the sample. As such, the imputation process creates a variety of estimates that will vary around that pre-imputation mean. When you later conduct your analyses on the imputed data, the analyses will account for this variation - it's an important piece of information. To compare your pre-imputation mean to post-imputation means is important - post-imputation values that are very different from pre-imputation values suggest you may need to rethink your imputation model - but as long as there are no "red flags" - I would suggest letting the imputation results stand as they are. -Alicia On Thu, Sep 18, 2014 at 8:09 AM, mouna kessentini <kessentini_mouna(a)yahoo.fr> wrote: Dear professors, -- Alicia Doyle Lynch, Ph.D. Boston College, Lynch School of Education Department of Developmental and Educational Psychology Chestnut Hill, MA 02467 Phone: (617) 552-6437 e-mail: doylead(a)bc.edu Best regards Mouna