Table 3.
Linear regression models for speech recognition threshold by masker type.
| Speech-shaped noise |
R2 =.37, F(5, 54) = 7.87, p < .0001 |
||
|---|---|---|---|
| Factor | Raw coefficient | t value | p value |
| Intercept | 0 | 1.36 | .18 |
| Age | −1.21 | −2.88 | < .01 |
| PPVT | −0.58 | −2.27 | .03 |
| Flanker | −0.02 | −0.64 | .53 |
| Listening Recall | −0.01 | −0.29 | .77 |
| Age × PPVT | 0.006 | 2.17 | .04 |
|
Amplitude-modulated speech-shaped noise |
R2 = .59, F(5, 54) = 18.08, p < .0001 |
||
|
Factor
|
Raw coefficient
|
t value
|
p value
|
| Intercept | 0 | 1.96 | .05 |
| Age | −2.32 | −3.05 | < .01 |
| PPVT | −0.14 | −2.95 | < .01 |
| Flanker | −0.01 | −0.20 | .84 |
| Listening Recall | 0.01 | 0.26 | .79 |
| Age × PPVT | 0.01 | 2.31 | .02 |
|
Two-talker |
R2 = .65, F(5, 54) = 22.59, p < .0001 |
||
|
Factor
|
Raw coefficient
|
t value
|
p value
|
| Intercept | 0 | 7.69 | < .01 |
| Age | −2.85 | −6.04 | < .01 |
| PPVT | −0.13 | −4.81 | < .01 |
| Flanker | −0.07 | −2.04 | .04 |
| Listening Recall | −0.09 | −2.05 | .04 |
| Age × PPVT | 0.02 | 4.95 | < .01 |
Note. Coefficient for the intercept for each model is zero because all variables were mean centered. Significant factors (p < .05) in each model are bolded. PPVT = Peabody Picture Vocabulary Test; Flanker = NIH Toolbox Flanker task.