A closer look at the items within three measures of evolution acceptance: analysis of the MATE, I-SEA, and GAENE as a single corpus of items

Romine, William L.; Todd, Amber N.; Walter, Emily M.

doi:10.1186/s12052-018-0093-7

Table 1 Two-dimensional factor loadings and Rasch item difficulty and mean squares fit statistics for both 1-dimensional and 2-dimensional usages

From: A closer look at the items within three measures of evolution acceptance: analysis of the MATE, I-SEA, and GAENE as a single corpus of items

Item	Wording	EFA dimensionality		1D	1D	1D	2D	2D	2D
Item	Wording	F1 loading	F2 loading	Difficulty	Infit	Outfit	Difficulty	Infit	Outfit
ISEAMacro1	P	0.87	− 0.03	− 0.17	0.67	0.63	− 0.15	0.70	0.68
ISEAMacro2^a	N	0.12	0.62	0.15	1.25	1.72	0.06	1.05	1.16
ISEAMacro3	P	0.70	0.15	− 0.33	0.62	0.62	− 0.33	0.72	0.75
ISEAMacro4	P	0.77	− 0.05	0.39	0.95	1.07	0.53	1.05	1.17
ISEAMacro5	P	0.72	0.08	− 0.32	0.75	0.78	− 0.33	0.83	0.88
ISEAMacro6	N	0.23	0.58	0.28	0.93	0.95	0.19	0.82	0.84
ISEAMacro7	P	0.71	0.05	− 0.36	0.73	0.73	− 0.38	0.84	0.82
ISEAMacro8^b	P	0.78	− 0.13	0.27	1.14	1.29	0.39	1.23	1.37
ISEAMicro1^a	N	− 0.17	0.83	− 0.18	1.22	1.39	− 0.31	0.92	1.15
ISEAMicro2	P	0.61	0.04	− 0.52	0.96	1.03	− 0.57	1.12	1.17
ISEAMicro3^b	P	0.37	0.24	− 0.68	1.07	0.92	− 0.77	1.32	1.17
ISEAMicro4^a	N	− 0.26	0.92	− 0.24	1.44	1.74	− 0.36	0.97	1.02
ISEAMicro5	N	− 0.06	0.82	− 0.26	1.11	1.10	− 0.39	0.83	0.95
ISEAMicro6	P	0.50	0.15	− 0.34	0.89	0.91	− 0.35	1.06	1.06
ISEAMicro7^a	N	− 0.04	0.78	− 0.39	1.33	1.30	− 0.52	0.97	0.91
ISEAMicro8	P	0.72	0.07	− 0.14	0.76	0.72	− 0.11	0.83	0.79
ISEAHuman1	P	0.81	0.01	0.19	0.78	0.80	0.29	0.81	0.84
ISEAHuman2	N	0.24	0.58	0.46	1.08	1.12	0.38	1.01	1.01
ISEAHuman3	N	0.23	0.61	0.26	1.04	1.03	0.18	0.90	0.90
ISEAHuman4	P	0.85	− 0.01	0.17	0.95	0.95	0.27	0.99	0.99
ISEAHuman5	P	0.73	0.08	− 0.02	1.01	0.98	0.03	1.18	1.17
ISEAHuman6	N	0.11	0.67	0.09	1.15	1.23	− 0.01	0.95	1.04
ISEAHuman7	P	0.84	− 0.02	0.08	0.90	0.95	0.16	0.92	0.96
ISEAHuman8	P	0.63	− 0.10	− 0.15	1.00	1.08	− 0.11	1.15	1.18
MATEfacts1	P	0.82	0.07	− 0.13	0.68	0.62	− 0.09	0.71	0.65
MATEcred2	N	0.07	0.65	0.27	1.21	1.22	0.18	1.02	1.06
MATEfacts3	P	0.87	− 0.01	0.09	0.80	0.75	0.18	0.84	0.79
MATEcred4	N	0.12	0.66	0.26	1.08	1.17	0.16	0.94	0.97
MATEcred5^b	P	0.46	0.05	− 0.50	1.12	1.23	− 0.56	1.33	1.39
MATEcred6	N	0.28	0.50	0.46	0.91	1.00	0.40	0.85	0.90
MATEcred7^a	N	0.07	0.59	− 0.31	1.48	1.46	− 0.43	1.24	1.23
MATEfacts8	P	0.73	0.09	− 0.15	0.68	0.65	− 0.13	0.77	0.74
MATEcred9^a	N	0.03	0.73	− 0.07	1.29	1.47	− 0.18	0.99	0.99
MATEcred10	N	0.21	0.63	− 0.03	1.00	1.02	− 0.13	0.90	0.87
MATEfacts11	P	0.64	0.10	− 0.15	1.05	1.06	− 0.12	1.21	1.16
MATEfacts12	P	0.70	0.09	0.04	0.69	0.72	0.11	0.78	0.94
MATEfacts13	P	0.79	− 0.01	− 0.04	0.71	0.84	0.01	0.76	0.91
MATEcred14	N	0.14	0.69	0.13	1.22	1.26	0.03	1.04	1.03
MATEfacts15^a	N	0.10	0.69	0.20	1.28	1.32	0.11	1.02	1.01
MATEfacts16	P	0.73	0.10	0.11	0.78	0.76	0.20	0.85	0.84
MATEcred17^a,b	N	− 0.22	0.69	0.22	1.58	1.79	0.12	1.31	1.53
MATEfacts18	P	0.80	0.06	− 0.11	0.61	0.59	− 0.07	0.66	0.63
MATEcred19^a,b	N	− 0.05	0.56	0.58	1.43	2.01	0.52	1.25	1.54
MATEfacts20	P	0.64	0.24	− 0.01	0.72	0.70	0.05	0.87	0.88
GAENE1^a,b	P	0.60	− 0.03	− 0.24	1.23	1.36	− 0.23	1.42	1.52
GAENE2	P	0.66	0.14	− 0.03	0.72	0.74	0.02	0.84	0.85
GAENE3^b	P	0.54	0.07	− 0.70	1.04	1.28	− 0.80	1.21	1.36
GAENE4	P	0.81	0.01	− 0.27	0.96	0.89	− 0.27	1.03	0.96
GAENE5	P	0.69	0.02	− 0.51	0.98	0.98	− 0.57	1.08	1.08
GAENE6^b	P	0.73	− 0.05	0.84	1.20	1.29	1.08	1.28	1.51
GAENE7	P	0.53	0.05	− 0.73	1.06	1.06	− 0.83	1.23	1.21
GAENE8^a,b	P	0.79	− 0.19	0.92	1.18	1.50	1.18	1.30	1.69
GAENE9	P	0.81	− 0.03	0.15	0.84	0.85	0.24	0.89	0.87
GAENE10	P	0.73	0.08	0.52	1.03	1.05	0.69	1.11	1.17
GAENE11	P	0.91	− 0.07	0.36	0.92	0.92	0.49	0.93	0.94
GAENE12	P	0.78	− 0.07	0.71	1.09	1.15	0.93	1.15	1.19
GAENE13	P	0.79	0.08	− 0.10	0.69	0.64	− 0.07	0.73	0.68

^aPotential item misfit with the Rasch model in a unidimensional treatment
^bPotential item misfit with the Rasch model in a two-dimensional treatment

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