Table 5 Model fit and Item values for... | Emerald Publishing

Table 5

Model fit and Item values for item 20: (−6) – (−8), mean: 0.36

				Q-matrix attribute pattern				Attribute Discrimination
		N	Items	CA1	CA2	CA3	CA4	CA1	CA2	CA3	CA4	Item fit RMSEA	Guessing	Slipping	Model fit SRMSR	Model fit MADcor
	Primary Q-matrix	128	28	0	1	0	1	–	0.573	–	0.954	0.323	0.0455	0.573	0.135	0.098
Cycle 1	G-DINA Q-matrix	128	28	1	0	0	1	0.866	–	–	0.842	0.193	0.0000	0.0000	0.081	0.060
Cycle 2	Revised Q-matrix	128	28	1	1	1	1	1.000	0.842	0.646	1.000	0.004	0.0000	0.1959	0.132	0.097
Cycle 3	Exkluding outliers and easy items	122	23	0	0	1	1	–	–	0.605	0.380	0.003	0.044	0.244	0.088	0.066
Cycle 4	Q-matrix with 3 aspects	128	24	1	–	1	1	0.706	–	0.430	0.500	0.000	0.000	0.056	0.095	0.066
Cycle 5	Final Q-matrix	128	28	0	0	1	1	–	–	0.731	0.463	0.139	0.062	0.006	0.091	0.068
Cycle 6	Final Q-matrix N = 1,000	1,000	28	0	0	1	1	–	–	0.689	0.644	0.047	0.089	0.001	0.031	0.024

				Q-matrix attribute pattern				Attribute Discrimination
		N	Items	CA1	CA2	CA3	CA4	CA1	CA2	CA3	CA4	Item fit RMSEA	Guessing	Slipping	Model fit SRMSR	Model fit MADcor
	Primary Q-matrix	128	28	0	1	0	1	–	0.573	–	0.954	0.323	0.0455	0.573	0.135	0.098
Cycle 1	G-DINA Q-matrix	128	28	1	0	0	1	0.866	–	–	0.842	0.193	0.0000	0.0000	0.081	0.060
Cycle 2	Revised Q-matrix	128	28	1	1	1	1	1.000	0.842	0.646	1.000	0.004	0.0000	0.1959	0.132	0.097
Cycle 3	Exkluding outliers and easy items	122	23	0	0	1	1	–	–	0.605	0.380	0.003	0.044	0.244	0.088	0.066
Cycle 4	Q-matrix with 3 aspects	128	24	1	–	1	1	0.706	–	0.430	0.500	0.000	0.000	0.056	0.095	0.066
Cycle 5	Final Q-matrix	128	28	0	0	1	1	–	–	0.731	0.463	0.139	0.062	0.006	0.091	0.068
Cycle 6	Final Q-matrix N = 1,000	1,000	28	0	0	1	1	–	–	0.689	0.644	0.047	0.089	0.001	0.031	0.024

Source(s): Authors’ own creation