M.H. wrote
I know that post is about 2 years now. But I have some experience in PMM
(predictive mean matching) and for those who have both categorical/binary
and continuous data, I would never recommend multiple regression method.
Normally, you should go to ->multiple imputation ->impute missing data
values, ->custom (MCMC) and then select PMM. It's like a hot deck
imputation, and it uses real values from your data. The difference is that
you use regression method, you may have values like 1.35547226 or 2.38446341
even though SPSS will round the value at 1 and 2, respectively, because
obviously your categorical variables do not normally contain any numbers
after comma. But when you perform a histogram, you see that it looks ugly.
If you variable can only take on values like 0, 1, 2, 3, 4, and 5, PMM is
excellent because it gives you exactly the values of 0, 1, 2, 3, 4, and 5,
according to the matching. Some caveat of PMM or hot deck concerns small
data (both hot deck and PMM) because it is difficult to do the data matching
(or, to find a "donor" if you're familiar with the literature) when you have
few cases.
See this article for further discussion : A Review of Hot Deck Imputation
for Survey Non-response
Rebecca R. Andridge and Roderick J. A. Little
<
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130338/> .
Now that I am at it, is there any expert users here ?
I want to work with hot deck imputation. Normally SPSS doesn't have it, but
Teresa Myers in the article Goodbye, Listwise Deletion: Presenting Hot Deck
Imputation as an Easy and Effective Tool for Handling Missing Data
<
http://www.afhayes.com/public/hotdeck.pdf> presents the HD imputation,
and at the end (.ie., Appendix) of the paper, gives the macro for creating
the hot deck command in SPSS.
It is written "Execute the command set below in an SPSS syntax window
exactly as is". And yet I can't get it worked (I use spss 20). After
executing the syntax, nothing happens. (note there is two pages for the
entire syntax).
Any ideas ? Thanks.
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