TABLE 1.

Sensitivity and specificity of infit and outfit in the tests with dichotomous items.

		Infit		Outfit
psim	presp	Sensitivity	Specificity	Sensitivity	Specificity
0.10	0.10	0.30	0.93	0.51	0.86
0.10	0.20	0.58	0.95	0.76	0.88
0.10	0.30	0.84	0.96	0.90	0.90
0.10	0.40	0.93	0.97	0.97	0.92
0.10	0.50	0.98	0.98	0.99	0.94
0.20	0.10	0.25	0.95	0.46	0.88
0.20	0.20	0.50	0.98	0.66	0.93
0.20	0.30	0.69	0.99	0.80	0.95
0.20	0.40	0.84	0.99	0.90	0.97
0.20	0.50	0.92	1.00	0.96	0.98
0.30	0.10	0.21	0.97	0.41	0.91
0.30	0.20	0.37	0.99	0.56	0.95
0.30	0.30	0.52	1.00	0.67	0.97
0.30	0.40	0.65	1.00	0.76	0.99
0.30	0.50	0.73	1.00	0.83	1.00
0.40	0.10	0.17	0.98	0.35	0.92
0.40	0.20	0.24	0.99	0.44	0.97
0.40	0.30	0.34	1.00	0.50	0.99
0.40	0.40	0.39	1.00	0.53	1.00
0.40	0.50	0.42	1.00	0.55	1.00
0.50	0.10	0.13	0.98	0.30	0.94
0.50	0.20	0.16	1.00	0.33	0.98
0.50	0.30	0.18	1.00	0.32	1.00
0.50	0.40	0.16	1.00	0.28	1.00
0.50	0.50	0.11	1.00	0.20	1.00

p_sim = proportion of simulees with random responses; p_resp = proportion of random item responses. Cut-off for infit and outfit = 1.3.