Table 3.

Output of a logistic mixed-effects model with a binary outcome measure indicating whether a keyword was correctly repeated or not as the dependent variable. The odds ratio was calculated by taking the exponential of the coefficient b. Significant effects are highlighted in bold font.

	b [95% CI]	odds ratio b [95% CI]	p
Intercept	0.64 [0.40, 0.89]	1.9 [1.49, 2.42]	<0.001
SNR (0 vs 5 dB)	2.02 [2.00, 2.03]	7.5 [7.4, 7.6]	<0.001
SNR (5 vs 10 dB)	1.12 [1.10,1.14]	3.06 [3.01, 3.11]	<0.001
PTA	−0.04 [−0.08, −0.01]	0.96 [0.93, 1.00]	0.030
Age	−0.02 [−0.05, 0.01]	0.98 [0.95, 1.01]	0.11
RST	0.01 [−0.01, 0.03]	1.01 [0.99, 1.03]	0.28
Signal modification	0.45 [0.43, 0.45]	1.55 [1.54, 1.57]	<0.001
Session	0.45 [0.44, 0.46]	1.57 [1.55, 1.59]	<0.001
Signal modification × PTA	−0.003 [−0.005, −0.001]	0.997 [0.995, 0.999]	0.006
Signal modification × Age	0.02 [0.018, 0.021]	1.01 [1.01, 1.02]	<0.001
Signal modification × RST	0.02 [0.021, 0.024]	1.023 [1.022, 1.024]	<0.001