Table 4.

Results of the multinomial logit regression models.

		B	eB	SE	p
Middle vs. Top	Subjective vs. Source	0.65	1.9	0.37	0.08
	Acoustic vs. Source	0.26	1.30	0.22	0.22
	Acoustic vs. Subjective	-0.39	0.68	0.41	0.35
Bottom vs. Top	Subjective vs. Source	2.40	11.0	0.34	<0.001∗
	Acoustic vs. Source	1.54	4.7	0.21	<0.001∗
	Acoustic vs. Subjective	-0.86	0.4	0.38	0.022∗
Bottom vs. Middle	Subjective vs. Source	1.74	5.7	0.22	<0.001∗
	Acoustic vs. Source	1.27	3.6	0.16	<0.001∗
	Acoustic vs. Subjective	-0.47	0.6	0.24	0.049∗
Nature vs. Manmade	Subjective vs. Source	1.03	2.8	0.41	0.011∗
	Acoustic vs. Source	-0.47	0.6	0.25	0.063
	Acoustic vs. Subjective	-1.50	0.2	0.45	<0.001∗
Dogs vs. Engines	Subjective vs. Source	3.60	36.7	0.42	<0.001∗
	Acoustic vs. Source	0.83	2.3	0.22	<0.001∗
	Acoustic vs. Subjective	-2.78	0.1	0.42	<0.001∗

In each case the dependent variable was the type of descriptive word used (e.g., subjective-state vs. source), and the independent variables were level of the taxonomy (e.g., top), or the sound type (e.g., nature).