Table 1.
Right Arm Choice Mixed-Effect Logistic Regression Model |
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---|---|---|---|---|---|---|---|---|---|
Group |
RH |
LH |
Control |
||||||
Models\Variables | (1) | (2) | (3) | (1) | (2) | (3) | (1) | (2) | (3) |
Constant | −0.407 (0.260) |
−0.241 (0.179) |
−0.390
(0.287) |
0.681** (0.219) |
0.561*** (0.132) |
0.816**
(0.272) |
0.835*** (0.169) |
0.300** (0.112) |
0.845***
(0.169) |
Effort | −2.403*** (0.325) |
−2.441***
(0.313) |
−2.084*** (0.486) |
−2.299***
(0.482) |
−4.883** (1.636) |
−4.915**
(1.640) |
|||
Success | 0.258* (0.121) |
0.217
(0.125) |
0.621*** (0.166) |
0.793***
(0.205) |
0.115* (0.059) |
0.113
(0.107) |
|||
Observ. | 7,284 | 7,284 | 7,284 | 6,066 | 6,066 | 6,066 | 4,250 | 4,250 | 4,250 |
LLH | −2,915 | −4,688 | −2,868 | −2,820 | −3,743 | −2,553 | −1,812 | −2,848 | −1,808 |
AIC | 5,838 | 9,385 | 5,748 | 5,649 | 7,495 | 5,118 | 3,632 | 5,705 | 3,629 |
Model 3 (bold), which included both effort and success predictors, was the selected model for each group based on AIC and log-likelihood ratio tests. However, note that whereas the coefficient of the effort term is largely significant in all 3 models, the coefficient for success is only significant in the LH model (P < 0.001). AIC, Akaike information criterion; LH, left hemiparesis; LLH, log-likelihood; Observ., observation; RH, right hemiparesis.
*P < 0.05, **P < 0.01, ***P < 0.001.