Table 13.
Simulation II ANOVA Results: Full ANOVA table for the prediction of the logit-corrected proportion of local optima ( )
Source | Df | Sum Sq | Mean Sq | F value |
|
|
---|---|---|---|---|---|---|
K | 1 | 56798 | 56798 | 27536.37 | 0.20 | |
CDV | 1 | 13733 | 13733 | 6657.74 | 0.05 | |
SS | 1 | 6158 | 6158 | 2985.57 | 0.02 | |
MMP | 1 | 418 | 418 | 202.73 | 0.00 | |
O | 1 | 10342 | 10342 | 5013.81 | 0.04 | |
CT | 1 | 7469 | 7469 | 3620.96 | 0.03 | |
MVT | 1 | 12 | 12 | 5.77 | 0.00 | |
MVT/NMV | 1 | 3299 | 3299 | 1599.22 | 0.01 | |
KxCDV | 1 | 5958 | 5958 | 2888.70 | 0.02 | |
KxSS | 1 | 1561 | 1561 | 756.56 | 0.01 | |
KxMMP | 1 | 399 | 399 | 193.51 | 0.00 | |
KxO | 1 | 5673 | 5673 | 2750.49 | 0.02 | |
KxCT | 1 | 6193 | 6193 | 3002.59 | 0.02 | |
KxMVT | 1 | 231 | 231 | 112.00 | 0.00 | |
CDVxSS | 1 | 1 | 1 | 0.70 | 0.00 | |
CDVxMMP | 1 | 3 | 3 | 1.33 | 0.00 | |
CDVxO | 1 | 2289 | 2289 | 1109.60 | 0.01 | |
CDVxCT | 1 | 807 | 807 | 391.33 | 0.00 | |
CDVxMVT | 1 | 182 | 182 | 88.42 | 0.00 | |
SSxMMP | 1 | 17 | 17 | 8.09 | 0.00 | |
SSxO | 1 | 1107 | 1107 | 536.65 | 0.00 | |
SSxCT | 1 | 553 | 553 | 267.97 | 0.00 | |
SSxMVT | 1 | 436 | 436 | 211.20 | 0.00 | |
MMPxO | 1 | 151 | 151 | 73.42 | 0.00 | |
MMPxCT | 1 | 7 | 7 | 3.52 | 0.00 | |
MMPxMVT | 1 | 71 | 71 | 34.38 | 0.00 | |
OxCT | 1 | 52 | 52 | 25.26 | 0.00 | |
OxMVT | 1 | 613 | 613 | 297.00 | 0.00 | |
CTxMVT | 1 | 204 | 204 | 99.00 | 0.00 | |
KxMVT/NMV | 1 | 933 | 933 | 452.19 | 0.00 | |
CDVxMVT/NMV | 1 | 758 | 758 | 367.58 | 0.00 | |
SSxMVT/NMV | 1 | 61 | 61 | 29.40 | 0.00 | |
MMPxMVT/NMV | 1 | 5 | 5 | 2.38 | 0.00 | |
OxMVT/NMV | 1 | 908 | 908 | 440.23 | 0.00 | |
CTxMVT/NMV | 1 | 63 | 63 | 30.59 | 0.00 | |
Residuals | 72864 | 150293 | 2 | |||
Total | 72899 | 277758 |
Note: - logit-corrected proportion of local optima. SS - sample size, MMP - Minimum mixing proportion, CD - overlap defined by the average probability of misclassification of the points, CT - convergence tolerance of the EM algorithm, MVT - masking variable type added to the data, NMV - the number of masking variables added to the data, indicated by MVT/NVM to indicate that the number of masking variables is nested within the masking variable type condition. - effect size, or .