Psychometric evaluation and predictive validity of Ryff's psychological well-being items in a UK birth cohort sample of women

Table 3 Model chi-square statistics (df) and goodness of fit criteria for Ryff 42-item Psychological Well-being Scale, N = 1,179

Model	1^st order factors	2^nd order	Method	Model	Chi Sq	Df	CFI	TLI	RMSEA	WRMR	SSABIC	SSABIC +/-
A0	6		No	Random	4,263.8	199	0.608	0.852	0.132	3.220	159,889	0.0
A1	1		No	Uni-dimensional	4,250.8	198	0.609	0.852	0.132	3.229	159,721	-168
A2	6		No	A priori	3,287.1	202	0.702	0.889	0.114	2.788	158,533	-1,356
A3	6	Yes	No	A priori + 2 ^nd order	3,332.7	202	0.698	0.888	0.115	2.846	158,621	-1,268
B1	1		P & N	Uni-dimensional	3,284.4	254	0.707	0.914	0.101	2.307	157,535	-2,354
B2	6		Negative	A priori	2,842.1	247	0.749	0.924	0.094	2.243	157,080	-2,809
B3	6		Positive	A priori	2,714.1	248	0.769	0.928	0.092	2.192	157,007	-2,882
B4	6		P & N	A priori	2.395.6	257	0.793	0.940	0.084	1.950	156,574	-3,315
B5	6	Yes	P & N	A priori + 2 ^nd order	2,460.6	255	0.787	0.937	0.086	2.010	156,467	-3.422

P&N – positive and negative method factors.
CFI Comparative fit index (moderate to good fit >0.95) [41].
TLI Tucker Lewis Index (moderate to good fit >0.95) [42].
RMSEA Root Mean Square Error of Approximation (good fit <= 0.06) [43].
WRMR Weighted root mean residual (good fit <1.0) [44].
SsaBIC Sample size adjusted BIC statistic (lower numbers show improvement among non-nested models).

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