Data set Option Effects on the grand mean Effects on the width of the confidence interval
Fig. 3 – MCAR 1) Complete-case analysis Increased in volatility with percentage of missing data. Increased non-linearly with the percentage of missing data.
2) Unweighted analysis Unbiased. Unbiased, except smaller CI for Fisher’s z.
3) SS-weighted analysis Unbiased. Unbiased.
4 -14) Imputations in general Random sample imputation Bayes predictive mean matching Unbiased for log response ratio, unbiased and slightly volatile for Hedges’ d and Fisher’s z. - - Unbiased, except for high percentages of missing data. Unbiased, except smaller for Hedges’ d. Increases non-linearly with the percentage of missing data.
Fig 4 – MAR 1) Complete-case analysis Deviation increased non-linearly with the percentage of missing data. Increased non-linearly with the percentage of missing data.
2) Unweighted analysis Unbiased Unbiased, except smaller CI for Fisher’s z.
3) SS-weighted analysis Unbiased. Unbiased.
4 -14) Imputations in general Random sample imputation Bayes predictive mean matching Unbiased for log response ratio, unbiased and slightly volatile for Hedges’ d and Fisher’s z. - - Unbiased, except for high percentages of missing data. Unbiased, except smaller for Hedges’ d. Increases non-linearly with the percentage of missing data.