Correction

This article refers to:

Quantifying the Strength of General Factors in Psychopathology: A Comparison of CFA with Maximum Likelihood Estimation, BSEM, and ESEM/EFA Bifactor Approaches

Article title: Quantifying the strength of general factors in psychopathology: A comparison of CFA with maximum likelihood estimation, BSEM and ESEM/EFA bi-factor approaches

Authors: Aja Louise Murray, Tom Booth, Manuel Eisner, Ingrid Obsuth, and Denis Ribeaud

Journal: Journal of Personality Assessment

DOI: DOI: http://dx.doi.org/10.1080/00223891.2018.1468338

Some values were incorrectly entered in Tables 1 and 2; however, interpretation of results were based on the correct values. The error mostly affected the upper half of Table 1 and lower half of Table 2, corrected versions of which are provided below.

Table 1. Simulation results for CFA.

Population model	Fitted model	Estimation failure rate (%)	Population ${\mathit{\omega }}_{\mathit{h}}$	Average ${\mathit{\omega }}_{\mathit{h}}\mathbf{ }$ estimate	${\mathit{\omega }}_{\mathit{h}}\mathrm{ }$% Bias	Population ECV	Average ECV estimate	ECV % bias
n = 1000
Very weak p-factor/cross-loadings	Bi-factor with cross-loadings	18.0	0.05	0.05	3.79	0.01	0.03	142.66
Moderate p-factor/cross-loadings	Bi-factor with cross-loadings	0.0	0.59	0.59	0.00	0.30	0.30	0.17
Strong p-factor/cross-loadings	Bi-factor with cross-loadings	0.0	0.87	0.87	0.10	0.70	0.70	−0.13
Very weak p-factor/cross-loadings	Bi-factor ICS	19.2	0.05	0.25	436.42	0.01	0.20	1280.42
Moderate p-factor/cross-loadings	Bi-factor ICS	0.0	0.59	0.64	8.03	0.30	0.33	10.37
Strong p-factor/cross-loadings	Bi-factor ICS	0.0	0.87	0.89	2.56	0.70	0.72	3.15

Note. ICS = independent cluster structure. Numbers in the table are rounded but calculations of bias are based on unrounded figures.

Table 2. Simulation results for BSEM.

Population model	Fitted model	Estimation failures (%)	Population ${\mathit{\omega }}_{\mathit{h}}$	Average ${\mathit{\omega }}_{\mathit{h}}$ estimate	${\mathit{\omega }}_{\mathit{h}}$ % Bias	Population ECV	Average ECV estimate	ECV % bias
n = 200
Very weak p-factor/cross-loadings	Bi-factor with small variance priors	0	0.05	0.13	165.45	0.01	0.11	687.27
Moderate p-factor/cross-loadings	Bi-factor with small variance priors	0	0.59	0.62	6.20	0.30	0.34	11.22
Strong p-factor/cross-loadings	Bi-factor with small variance priors	0	0.87	0.89	2.63	0.70	0.71	1.32
Very weak p-factor/cross-loadings	Bi-factor ICS	0.4	0.05	0.20	315.88	0.01	0.17	1105.71
Moderate p-factor/cross-loadings	Bi-factor ICS	0	0.59	0.63	7.73	0.30	0.35	15.83
Strong p-factor/cross-loadings	Bi-factor ICS	0	0.87	0.90	3.16	0.70	0.73	4.33

Note. ICS = independent cluster structure. Numbers in the table are rounded but calculations of bias are based on unrounded figures.