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    Log transformation and multiple imputation

    This is what I found elsewhere in an article on multiple imputation: Don’t transform skewed variables. Likewise, when you transform a variable to meet normality assumptions before imputing, you not only are changing the distribution of that variable but the relationship between that variable and...
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    Log transformation and multiple imputation

    I can use linear regression for the multiple imputation or predictive mean matching. What would you prefer? I use OLS/predictive mean matching 10 times yeah. The number of imputations is 10. But when to do the log transformation? Does that depend on whether the relationship between the...
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    Log transformation and multiple imputation

    I would think to first do the transformation to make sure the normality aasumption is met. However, I do not know if I create more bias by doing that? Doesnt it depend on whether the relationship is linear or not before transformation?
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    Log transformation and multiple imputation

    Hello, below is a part of an assignment. Can someone tell me whether I have to perform log transformation before or after multiply imputing the data? Download the School readiness data from blackboard (Part 4 – Joost van Ginkel). The data set consists of the following variables: The child’s...
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    Mediation analysis with weird pattern of results

    The data are from a study by Karin Roelofs and Patricia Bakvis from Clinical and Health Psychology. The design of the study is rather complex, but we will look at only three variables within one subgroup of patients. The data are in the file Cortisol.sav. After a lot of preliminary measurements...
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    Mediation analysis with weird pattern of results

    The total effect in mediation is equal to the direct effect plus the indirect effect. What if my direct effect is negative (non-significant), my indirect effect is positive (significant) and my total effect is negative (significant)? Is this still a case of inconsistent mediation? Also, the...