Table 4.
Binary logistic regression analysis of psycholinguistic markers of SLI.
Variable | B | SE | Wald | Exp (B) | 95% CI For Exp (B)
|
Classification accuracy (%)
|
|||
---|---|---|---|---|---|---|---|---|---|
Lower | Upper | SLI | Not SLI | Overall | |||||
Model 1 | 78.9 | 92.5 | 88.1 | ||||||
TEGI | −0.476 | 0.132 | 12.97*** | 0.621 | 0.479 | .805 | |||
Model 2 | 89.5 | 97.5 | 94.9 | ||||||
TEGI | −0.457 | 0.215 | 4.522* | 0.633 | 0.414 | 0.965 | |||
SR | −0.408 | 0.151 | 7.285** | 0.665 | 0.495 | 0.894 | |||
Model 3 | 84.2 | 95.0 | 91.5 | ||||||
TEGI | −0.465 | 0.243 | 3.668* | 0.628 | 0.390 | 1.011 | |||
SR | −0.402 | 0.171 | 5.496* | 0.669 | 0.478 | 0.936 | |||
NWR | −0.115 | 0.086 | 1.819 | 0.891 | 0.753 | 1.054 | |||
Model 4 | 94.7 | 95.0 | 94.9 | ||||||
TEGI | −0.688 | 0.368 | 3.493 | 0.503 | 0.244 | 1.034 | |||
SR | −0.522 | 0.275 | 3.597 | 0.593 | 0.346 | 1.018 | |||
NWR | −0.122 | 0.109 | 1.054 | 0.894 | 0.722 | 1.107 | |||
TNL | −0.387 | 0.264 | 2.153 | 0.679 | 0.405 | 1.139 |
p < .05.
p < .01.
p < .001.