Table 3.

Hierarchical regressions predicting speech recognition performance in SSN, 4TB conditions with and without noise reduction processing.

	Step 1			Step 2
	b	SE b	β	b	SE b	β
In SSN condition without noise reduction
Constant	-8.67	1.05		-9.93	1.36
Age	0.076	0.01	0.30∗∗∗	0.07	0.02	0.27∗∗∗
Lexical decision speed test				0.002	0.001	0.17
Semantic word-pair Span test				-0.02	0.03
R2 = 0.10 for step 1, change in R2 = 0.03 for step 2 (p < 0.05)
In 4TB condition without noise reduction
Constant	-3.10	1.07		-3.91	1.40
Age	0.07	0.02	0.30	0.06	0.02	0.25∗∗∗
Lexical decision speed test				0.002	0.001	0.17
Semantic word-pair Span test				-0.04	0.03	-0.10
R2 = 0.09 for step 1, change in R2 = 0.04 (p < 0.05)
In SSN condition with noise reduction
Constant	-12.92	1.16		-14.12	1.47
Age	0.07	0.02	0.27∗∗∗	0.06	0.01	0.21
Lexical decision speed test				0.003	0.001	0.24∗∗∗
Semantic word-pair Span test				-0.06	0.09	-0.15
R2 = 0.07 for step 1, change in R2 = 0.09 (p < 0.001)
In 4TB condition with noise reduction
Constant	-9.91	1.06		-11.02	1.35
Age	0.08	0.02	0.31∗∗∗	0.07	0.02	0.27∗∗∗
Lexical decision speed test				0.002	0.001	0.20
Semantic word-pair Span test				-0.04	0.03	-0.10
R2 = 0.10 for step 1, change in R2 = 0.05 (p < 0.01)

b = unstandardized coefficients; SE b = standard errors; β = standardized coefficients; ΔR² = change in R^2∗p < 0.05, ^∗∗p < 0.01, ^∗∗∗p < 0.001.