Posted by
Jeff A on
URL: http://spssx-discussion.165.s1.nabble.com/Multiple-imputation-question-tp5740383p5740388.html
I get the general idea, but in thinking about this further, I assume that
one could simply select a single one of the multiple datasets produced by
the MI procedure - depending upon the nature of the random error that's
added, I assume that any one of these imputed datasets would be better than
alternatives like listwise deletion in that they retain statistical power
and do not produce biased variances and covariances, but would result in p
values and confidence intervals that are biased downward. Clearly, the
correct use of MI is the ideal.
Jeff
-----Original Message-----
From: Kirill Orlov <
[hidden email]>
Sent: Wednesday, April 7, 2021 6:28 PM
To:
[hidden email];
[hidden email]
Subject: Re: Multiple imputation question
//Can spss produce a single data set that might be described as what some
call, "stochastic regression imputation," which is where missing values are
predicted by non-missing values within the data, but an random error term is
then subsequently applied? In other words, can the MI procedure in SPSS be
set to produce only a single dataset?//
By the definition of multiple imputation, no single dataset (with or without
the "stochastic" errors added) can correspond to the pooled statistics and
their st. errors (regression coeff-s, etc.) produced by MI. If it were
possible, no one would be busy generating multiple imputed datasets.
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