Table 6.

Proportions of Hits and False Alarms (FA); Measures of Sensitivity (A′) and Bias (B″); Experimental Error Rate (EER); Root Mean Squared Error (RMSE) of the Estimated Difference; and Partition Score (PS) for Each of 14 Techniques When Applied to Response-Locked Data, as a Function of Within-Trial Noise and Between-Subject Variability

	Ability to discriminate between types of effect					Accuracy
Technique	Hits	FA	A′	B″	EER	RMSE	PS
Low within-trial noise and low between-subject variability
SS 10%	0.92	0.01	0.98	0.76	0.04	14.98	1.01
SS 30%	1.00	0.00	1.00	0.00	0.01	19.71	1.00
SS 50%	1.00	0.01	1.00	–0.33	0.01	24.66	1.02
SS 70%	1.00	0.01	1.00	–0.33	0.01	30.37	1.01
SS 90%	0.95	0.03	0.98	0.24	0.04	38.98	1.03
JK 10%	0.76	0.01	0.94	0.90	0.12	15.48	0.99
JK 30%	0.98	0.05	0.98	–0.42	0.04	19.72	1.00
JK 50%	1.00	0.09	0.98	–0.89	0.05	24.48	1.01
JK 70%	0.97	0.14	0.96	–0.61	0.09	29.80	1.00
JK 90%	0.48	0.22	0.72	0.19	0.37	37.96	1.02
SS 1df	1.00	0.00	1.00	0.00	0.01	5.83	1.00
SS 2Rdf	1.00	0.00	1.00	0.00	0.01	5.83	1.00
JK 1df	0.98	0.00	0.99	0.59	0.01	4.78	0.99
JK 2Rdf	0.98	0.00	0.99	0.59	0.01	4.78	0.99
High within-trial noise and high between-subject variability
SS 10%	0.14	0.07	0.64	0.30	0.46	19.66	0.65
SS 30%	1.00	0.02	0.99	–0.60	0.01	19.57	1.02
SS 50%	1.00	0.03	0.99	–0.71	0.02	24.66	1.02
SS 70%	0.99	0.03	0.99	–0.49	0.02	30.13	1.01
SS 90%	0.53	0.02	0.87	0.85	0.25	39.28	1.05
JK 10%	0.29	0.01	0.81	0.91	0.36	14.24	1.00
JK 30%	0.71	0.03	0.91	0.75	0.16	20.04	1.02
JK 50%	0.89	0.01	0.97	0.82	0.06	24.56	1.03
JK 70%	0.77	0.01	0.94	0.89	0.12	29.36	1.00
JK 90%	0.22	0.02	0.78	0.79	0.40	37.92	1.05
SS 1df	1.00	0.03	0.99	–0.71	0.02	7.60	1.01
SS 2Rdf	1.00	0.03	0.99	–0.71	0.02	7.60	1.01
JK 1df	0.94	0.02	0.98	0.48	0.04	6.13	0.99
JK 2Rdf	0.94	0.02	0.98	0.48	0.04	6.13	0.99

Note: SS = single-subject procedure; JK = jack-knife procedure; x% = relative-criterion method; and xdf = regression-based method.