From: Dealing with missing data in a multi-question depression scale: a comparison of imputation methods
Missing Data Scenario | P = 0.10 | P = 0.20 | P = 0.30 | Q6 | MAR – Age and Sex | MNAR | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Total missing responses | N | % of total | N | % of total | N | % of total | N | % of total | N | % of total | N | % of total |
0 | 201 | 12.7 | 18 | 1.1 | 174 | 11.0 | 1 | 0.1 | 151 | 9.6 | 174 | 11.0 |
1 | 422 | 26.7 | 83 | 5.3 | 373 | 23.6 | 7 | 0.4 | 376 | 23.8 | 422 | 26.7 |
2 | 432 | 27.3 | 220 | 14.0 | 463 | 29.3 | 42 | 2.7 | 435 | 27.5 | 466 | 29.5 |
3 | 306 | 19.4 | 341 | 21.6 | 305 | 19.3 | 141 | 8.9 | 317 | 20.1 | 315 | 19.9 |
4 | 147 | 9.3 | 314 | 19.9 | 161 | 10.2 | 226 | 14.3 | 172 | 10.9 | 122 | 7.7 |
5 | 52 | 3.3 | 296 | 18.7 | 85 | 5.4 | 288 | 18.2 | 78 | 4.9 | 59 | 3.7 |
6 | 18 | 1.1 | 171 | 10.8 | 12 | 0.8 | 305 | 19.3 | 35 | 2.2 | 15 | 1.0 |
7 | 2 | 0.1 | 92 | 5.82 | 6 | 0.4 | 241 | 15.3 | 11 | 0.7 | 5 | 0.3 |
8 | 0 | 0 | 34 | 2.2 | 1 | 0.1 | 158 | 10.0 | 3 | 0.2 | 2 | 0.1 |
9 | 0 | 0 | 9 | 0.6 | 0 | 0 | 90 | 5.7 | 2 | 0.1 | 0 | 0 |
10 | 0 | 0 | 0 | 0.0 | 0 | 0 | 46 | 2.9 | 0 | 0 | 0 | 0 |
11 | 0 | 0 | 1 | 0.1 | 0 | 0 | 25 | 1.6 | 0 | 0 | 0 | 0 |
12 | 0 | 0 | 1 | 0.1 | 0 | 0 | 6 | 0.4 | 0 | 0 | 0 | 0 |
13 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.1 | 0 | 0 | 0 | 0 |
14 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.1 | 0 | 0 | 0 | 0 |