Table 10.

Mean Parameter Estimates for Model 3 (10 Indicators, Two Correlated Constructs)

N	y* distribution		Full WLS						Robust WLS
			Loadings (λ)			Correlation (ψ21)			Loadings (λ)			Correlation (ψ21)
	s	k	M	SD	RB	M	SD	RB	M	SD	RB	M	SD	RB
100	0.00	0.00	.744	.097	6.29	.363	.165	21.16	.703	.078	0.43	.313	.115	4.49
	0.75	1.75	.746	.101	6.57	.340	.175	13.31	.707	.080	1.00	.301	.122	0.39
	0.75	3.75	.753	.099	7.57	.354	.178	17.87	.713	.078	1.86	.319	.130	6.44
	1.25	1.75	.749	.095	7.00	.363	.174	21.00	.709	.078	1.29	.320	.118	6.55
	1.25	3.75	.762	.097	8.86	.371	.173	23.69	.721	.078	3.00	.327	.120	8.86
200	0.00	0.00	.727	.060	3.86	.339	.098	13.04	.701	.054	0.14	.306	.079	1.86
	0.75	1.75	.733	.061	4.71	.337	.101	12.46	.708	.055	1.14	.311	.087	3.53
	0.75	3.75	.737	.061	5.29	.340	.100	13.29	.713	.055	1.86	.311	.084	3.56
	1.25	1.75	.729	.061	4.14	.348	.100	15.92	.705	.055	0.71	.317	.083	5.81
	1.25	3.75	.740	.060	5.71	.332	.106	10.54	.716	.054	2.29	.311	.087	3.57
500	0.00	0.00	.712	.035	1.71	.316	.059	5.22	.701	.034	0.14	.302	.054	0.82
	0.75	1.75	.718	.036	2.57	.318	.055	6.10	.707	.034	1.00	.305	.051	1.55
	0.75	3.75	.722	.036	3.14	.317	.057	5.70	.711	.035	1.57	.304	.052	1.35
	1.25	1.75	.716	.035	2.29	.322	.057	7.48	.705	.034	0.71	.310	.052	3.40
	1.25	3.75	.725	.036	3.57	.323	.058	7.53	.714	.034	2.00	.310	.053	3.28
1,000	0.00	0.00	.706	.024	0.86	.308	.038	2.71	.701	.024	0.14	.302	.036	0.52
	0.75	1.75	.712	.025	1.71	.313	.038	4.39	.706	.025	0.86	.306	.037	2.14
	0.75	3.75	.716	.025	2.29	.309	.041	2.87	.710	.025	1.43	.302	.039	0.81
	1.25	1.75	.709	.024	1.29	.321	.037	6.85	.703	.024	0.43	.314	.036	4.72
	1.25	3.75	.719	.024	2.71	.315	.041	5.03	.713	.024	1.86	.309	.039	2.91

Note. Factor loading population value = .7; factor correlation population value = .3. s = skewness; k = kurtosis; WLS = weighted least squares; RB = mean relative bias across replications. For loadings, M is the pooled mean within-cell factor loadings; SD is the square root of within-cell factor loading variances.