Table 6.

Model Goodness of Fit for Convergent and Admissible Solutions.

Model	k	df	χ2	% p < .01	SRMSR	RMSEA	TLI	CFI
CTCM	61	33	89.81	54%	.041	.048	.98	.99
MIN		5	1.71		0	0	.77	.89
MAX		662	11458.77		.15	.17	1.02	1.00
SD		100.84	1484.80		.03	.04	.05	.02
CTCU	203	15	42.51	35%	.043	.063	.98	.99
MIN		2	0.19		0	0	.68	.76
MAX		572	3294.38		.19	.46	1.86	1.00
SD		57.89	340.58		.03	.07	.26	.04
CTCM-R	217	14	46.99	44%	.044	.048	.98	.99
MIN		5	1.33		0	0	.63	.79
MAX		662	11458.77		.18	.19	1.99	1.00
SD		64.67	816.84		.03	.05	.11	.03
CTUM	242	15	63.43	48%	.055	.061	.97	.99
MIN		6	0.97		.01	0	.53	.76
MAX		672	11982.62		.18	.25	1.88	1.00
SD		67.41	829.32		.03	.05	.13	.04
CTCoM	107	36	95.23	63%	.058	.069	.96	.98
MIN		9	3.80		.02	0	.28	.49
MAX		697	15538.15		.33	.22	1.86	1.00
SD		83.21	1632.40		.09	.05	.18	.09
CTCoUM	219	23	123.15	70%	.064	.082	.93	.96
MIN		10	4.72		.01	0	.18	.48
MAX		707	20033.65		.31	.27	1.86	1.00
SD		74.20	1462.66		.04	.06	.18	.09

Note. CTCM = correlated trait–correlated method; CTCU = correlated trait–correlated uniqueness; SRMSR = standardized root mean squared residual; RMSEA = root mean square error of approximation; TLI = Tucker–Lewis index; CFI = comparative fit index; MIN = minimum observed value; MAX = maximum observed value; SD = standard deviation. First row of entries for each model are k = number of C&A studies; df = median df; χ² = 20% trimmed mean χ² (Wilcox & Keselman, 2003); % p < .01 = percentage of studies whose probability values for estimated χ² statistics were <.01. SRMSR, RMSEA, TLI, and CFI are median standardized root mean squared residuals, respectively.