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Thread: Fill in multiple missing values given correlation matrix

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    Re: Fill in multiple missing values given correlation matrix




    I thought about this for awhile, if you have a prior sample with all items completed; now you have a new sample that only completed 3 items, are you trying to impute the other 10 questions? Did you all pick the 3 items that the new sample completed or do they?

    Were the original questions in a particular order? And how do the 3 current items fit into that ordering?

    I was thinking that if you did go forward you may want to make your 95% CI wider to account for not using MI (perhaps robust somehow).


    Also a BIG question, do you have the current raw data? Do the items seem to have the same correlation amongst each other in the new sample? You may have to think about if your other corr are partial or not. This would possibly get at if the mechanism of asking the people is still functioning the same given now the instrument is shorter.
    Stop cowardice, ban guns!

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    Re: Fill in multiple missing values given correlation matrix


    I didn't click on Jakes links but I wonder if this process is typically used out of sample. I think more appropriate may be calling this a new sample you are scoring, perhaps?
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