Table 1.

Testing for Unidimensionality of Data From Two GAT-V Test Forms (Base and New) and GTT.

							90% CI for RMSEA
Test data	χ2	df	CFI	TLI	WRMRa	RMSEA	LL	UL
GAT-V(B)b	1233.224	170	.966	.962	2.155	.025	.024	.026
GAT-V(N)c	830.437	170	.982	.980	1.740	.020	.019	.021
GTT	33191.931	3002	.906	.903	2.614	.017	.016	.018

Note. GAT-V = General Aptitude Test–Verbal; GTT = General Teacher Test; CFI = comparative fit index, TLI = Tucker–Lewis index, WRMR = weighted root mean square residual, RMSEA = root mean square error of approximation; CI = confidence interval; LL = lower limit; UL = upper limit. A tenable data fit is in place with CFI > .90, TLI > .90, WRMR is close to 1, and RMSEA < .05.

^aIn Mplus, WRMR is used with categorical variables, which is the case with the study data (with continuous variables, standardized root mean square residual [SRMR] is used).

^bGAT-V base form.

^cGAT-V new form.