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Table 4 Correlation with increased missing items in the P = 0.20 missing data scenario.

From: Dealing with missing data in a multi-question depression scale: a comparison of imputation methods

Method of Imputation Random Selection Preceding Question Question Mean Individual Mean Single Regression Multiple Imputation
# of Missing Items (P = 0.20) Spearman Kappa Spearman Kappa Spearman Kappa Spearman Kappa Spearman Kappa Spearman Kappa
1 (N = 83) 0.983 0.971 0.983 0.910 0.993 1.000 0.992 0.971 0.990 0.970 0.993 1.000
2 (N = 220) 0.941 0.605 0.961 0.741 0.987 0.804 0.987 0.794 0.984 0.783 0.988 0.841
3 (N = 341) 0.877 0.563 0.944 0.791 0.981 0.771 0.980 0.833 0.974 0.832 0.982 0.848
4 (N = 314) 0.816 0.454 0.916 0.739 0.976 0.743 0.973 0.823 0.967 0.764 0.974 0.854
5 (N = 296) 0.783 0.438 0.930 0.661 0.978 0.641 0.977 0.780 0.969 0.784 0.978 0.853
6 (N = 171) 0.618 0.182 0.890 0.569 0.963 0.651 0.953 0.745 0.934 0.710 0.957 0.805
7 (N = 92) 0.508 0.114 0.791 0.454 0.948 0.346 0.930 0.630 0.918 0.600 0.948 0.649
8 (N = 34) 0.563 0.191 0.848 0.698 0.970 0.401 0.958 0.827 0.943 0.884 0.978 0.831