Adjusting degrees of freedom after multiple imputations

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Adjusting degrees of freedom after multiple imputations

Hello everyone,

For context I'm trying to adjust the degrees of freedom for the t-test
having done multiple imputations to account for missing data. The current
SPSS output gives me a very large df which I realise I should adjust based
on Barnard and Rubin's (1999) small-sample degrees of freedom with multiple
imputations... I'm wondering how about's I can do this on SPSS/ whether I
have picked the right paper for adjustment?

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