. 2013 Oct 11;8(10):e75755. doi: 10.1371/journal.pone.0075755

Table 2. Confirmatory Factor Analysis (CFA), goodness-of-fit indices of Supportive care needs survey (SCNS-SF).

Model	χ ²	df	p-value	CFI	SRMR	RMSEA	90% CI
Hong Kong sample
SCNS-SF34	1270.794	517	<0.001	0.854	0.062	0.064	0.059, 0.068
SCNS-SF33-C	1389.987	489	<0.001	0.824	0.066	0.072	0.067, 0.076
Modified SCNS-SF34^*	979.854	509	<0.001	0.909	0.060	0.052	0.046–0.055
Taiwan sample
SCNS-SF34	2082.170	517	<0.001	0.776	0.093	0.107	0.102–0.112
SCNS-SF33-C	7293.622	528	<0.001	0.714	0.089	0.123	0.118–0.128
Modified SCNS-SF34^**	1216.159	503	<0.001	0.898	0.070	0.073	0.068–0.079

SCNS-SF34: original 34 item 5-factor model; SCNS-SF33-C, Chinese 33 item 4-factors model; χ ², chi-square statistics; df, degrees of freedom; CFI, comparative fit index; SRMR, standardised root mean square residual; RMSEA, root mean square error of approximation; CI, confidence interval.

This modified model allowed correlations between residuals of 9 pairs of items within a same factor, including item 4 and item 5, item 6 and item7, item 7 and item 8, item 6 and item 8, item 12 and item 13, item 12 and item 14, item 9 and item 14, item 27 and item 28, item 23 and item 32.

^**

This modified model allowed correlations between residuals of 9 pairs of items within a same factor, including item 6 and item 7, item 7 and item 8, item 9 and item 10, item 10 and item 11, item 12 and item 13, item 18 and item 19, item 20 and item 22, item 27 and item 28, item 32 and item 33.