Table 3.

Hierarchical linear model (HLM) analysis using the arousal type (arousing versus neutral) of the sounds, the peak frequency (Hz) and peak intensity (dB) of the sounds, as well as the temporal location of the peak dB to predict recall rates for (A) high-salience letters, (B) low-salience letters and (C) difference scores (high-salience minus low-salience). Includes results from Experiment 1 and condition 1 of Experiment 2 (n = 110).

A. High-Salience % Correct
Effect	b	SE	t	df	p-value
Intercept	0.615909	0.012979	47.453	109	< 0.001
Arousal	0.010835	0.003986	2.718	4395	0.007
Peak Hz	0.000000	0.000001	0.322	4395	0.747
Peak dB	−0.000167	0.000557	−0.300	4395	0.764
Peak dB (time)	−0.000794	0.002141	−0.371	4395	0.711
B. Low-Salience % Correct
Effect	b	SE	t	df	p-value
Intercept	0.401409	0.010894	36.847	109	< 0.001
Arousal	−0.007345	0.002953	−2.487	4395	0.013
Peak Hz	−0.000000	0.000001	−0.271	4395	0.786
Peak dB	0.000283	0.000401	0.706	4395	0.480
Peak dB (time)	0.001802	0.001536	1.173	4395	0.241
C. Difference Scores % Correct
Effect	b	SE	t	df	p-value
Intercept	0.214500	0.019570	10.961	109	< 0.001
Arousal	0.018180	0.005862	3.101	4395	0.002
Peak Hz	0.000000	0.000001	0.333	4395	0.739
Peak dB	−0.000450	0.000834	−0.540	4395	0.589
Peak dB (time)	−0.002595	0.003226	−0.804	4395	0.421