Assessment of Survivor Concerns (ASC): A newly proposed brief questionnaire

Table 5 Maximum likelihood goodness-of-fit indices for confirmatory factor models

Original Six-Item ASC
Invariance	χ²	df	p	Δχ²	df	p	RMSEA	CFI	NNFI
Form	32.0	16	.01				.055	.992	.985
Slope	33.7	22	.05	1.7	6	.95	.038	.994	.992
Intercept	39.9	28	.07	6.2	6	.40	.035	.994	.994
Item Error	46.1	34	.08	6.2	6	.40	.033	.994	.995
Covariance	46.5	35	.09	0.4	1	.53	.033	.994	.995
Revised Five-Item ASC (children's health item excluded)
Invariance	χ²	df	p	Δχ²	df	p	RMSEA	CFI	NNFI
Form	11.2	8	.19				.033	.998	.996
Slope	15.8	13	.26	4.6	5	.47	.024	.999	.998
Intercept	21.4	18	.26	5.6	5	.35	.015	.999	.998
Item Error	30.5	23	.14	9.1	5	.11	.030	.996	.997
Covariance	30.9	24	.16	0.4	1	.53	.029	.997	.997

χ² is the chi-square value for the given model with degrees of freedom, df, and probability, p. Δχ² is the difference in chi-square between the given model and the previous one. RMSEA is the Root Mean Square Error of Approximation, CFI is the Comparative Fit Index, and NNFI is the Non-Normed Fit Index. Listwise deletion of missing values was used for all of the models.

ISSN: 1477-7525