I have a DB with multiple missing values (scale, ordinal and nominal). I used multiple imputation to fill in these missing values.

How can I perform a repeated measures ANOVA on these (5) datasets? Should I pool them first? And how (or can) I run a repeated measures ANOVA straight away with these 5 (MI) datasets?

I work with SPSS

  • $\begingroup$ Please read SPSS Help docs (including Case Studies) about multiple imputation. $\endgroup$ – ttnphns Jun 19 '14 at 15:50
  • $\begingroup$ I have, and I have read "Analysis of Variance of Multiply Imputed Data by Joost R. van Ginkel and Pieter M. Kroonenberg" All i can think of is: run RMA on all 5 datasets and get means of the results. Is this the correct way to go? $\endgroup$ – Justin Jun 20 '14 at 9:45
  • $\begingroup$ I think you have to use split file in SPSS, in SAS you will use class statment. And maybe a mixed model is a better option when you have missing values. $\endgroup$ – Deep North Jul 8 '15 at 12:06

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