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4 -14) Imputations in general
Random sample imputation
Bayes predictive mean matching
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Unbiased for log response ratio. Slightly volatile for Fisher’s
z. Deviation increased non-linearly with the percentage of
missing SDs for Hedges’ d.
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-
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Unbiased for log response ratio. Decreased with the percentage of
missing data for Fisher’s z. Increased non-linearly from a
threshold of 50-60% of missing data for Hedges’ d.
Unbiased, except smaller for Hedges’ d.
Increased non-linearly with the percentage of missing data.
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