Table VI.

Model fit statistics / comparisons

	Model	−2ll	df	AIC	TLI	RMSEA	Δ	Δ−2ll	Δdf	p
14 months	1) Saturated	3449.02	1576	297.02
	2) Biometric	3493.27	1620	253.27	1.00	0.01	2 vs. 1	44.25	44	0.46
	3) Psychometric	3497.48	1620	257.48	0.99	0.02	3 vs. 1	48.45	44	0.30
	4) Rater Bias	3493.42	1621	251.42	1.00	0.00	4 vs. 1	44.39	45	0.50
							4 vs. 2	0.14	1	0.70
20 months	5) Saturated	3341.16	1576	189.16
	6) Biometric	3396.38	1620	156.38	0.99	0.04	6 vs. 5	55.22	44	0.12
	7) Psychometric	3396.40	1620	156.40	0.99	0.04	7 vs. 5	55.23	44	0.12
	8) Rater Bias	3399.67	1621	157.67	0.98	0.04	8 vs. 5	58.51	45	0.09
							8 vs. 6	3.29	1	0.07
24 months	9) Saturated	3366.66	1576	214.66
	10) Biometric	3410.34	1620	170.34	1.00	0.00	10 vs. 9	43.68	44	0.49
	11) Psychometric	3410.34	1620	170.34	1.00	0.00	11 vs. 9	43.68	44	0.49
	12) Rater Bias	3415.33	1621	173.33	1.00	0.02	12 vs. 9	48.67	45	0.33
							12 vs. 10	4.99	1	0.03
36 months	13) Saturated	3287.62	1576	135.62
	14) Biometric	3327.00	1608	111.00	1.01	0.00	14 vs. 13	39.38	32	0.17
	15) Psychometric	3327.60	1608	111.60	1.01	0.00	15 vs. 13	39.98	32	0.16
	16) Rater Bias	3331.05	1610	111.05	1.00	0.00	16 vs. 13	43.43	34	0.13
							16 vs. 14	4.06	2	0.13

Note: −2ll = negative two log-likelihood. df = degrees of freedom. AIC = Akaike’s Information Criterion. TLI = Tucker-Lewis Index. RMSEA = Root Mean Square Error of Approximation.