Table 4.

Hierarchical regression models predicting the dependent variable KΔDD

		Coefficients			Model summary					Change statistics
		B	t	p	R2	R2adj	F	p	df1, df2	R2chng	Fchng	p	df1, df2
1.1	zOspan	−.26	−2.58	.02	.27	.23	6.63	.02	1, 18	.27	6.63	.02	1,18
1.2	zOspan	−.23	−2.29	.04	.34	.26	4.30	.03	2, 17	.07	1.70	.21	1, 17
1.2	FA-in P	.94	1.31	.21
1.3	zOspan	−.16	−1.83	.09	.56	.48	6.73	<.01	3, 16	.22	8.03	.01	1, 16
1.3	FA-in P	1.24	2.01	.06
1.3	FA-in C	−2.09	−2.83	.01
2.1	zOspan	−.26	−2.58	.02	.27	.23	6.63	.02	1, 18	.27	6.63	.02	1,18
2.2	zOspan	−.20	−2.13	.04	.45	.38	6.85	<.01	2, 17	.18	5.44	.03	1, 17
2.2	FA-in C	−1.84	−2.33	.03
2.3	zOspan	−.16	−1.83	.09	.56	.48	6.73	<.01	3, 16	.11	4.03	.06	1, 16
2.3	FA-in C	−2.09	−2.83	.01
2.3	FA-in P	1.24	2.01	.06

Note. Abbreviations: FA-in refers to false-alarm errors when the probe appeared in a location that had been occupied by a distractor. P refers to placebo, C refers to cabergoline. Data were restricted to individuals who made at least one FA-in error under placebo or cabergoline (N = 20). Ospan was z-score normalized (zOspan)