. Author manuscript; available in PMC: 2016 Oct 1.

Published in final edited form as: Ann Behav Med. 2015 Oct;49(5):704–714. doi: 10.1007/s12160-015-9705-4

Table 4.

Fit indices for constrained to progressively unconstrained models

	Chi square	df	IFI	CFI	RMSEA (90% CI)
Fully constrained	466.132	105	.910	.908	.054 (.047–.057)
Constrained paths H1-H5	463.234	103	.909	.908	.053 (.048–.058)
Constrained paths H1-H4	457.420	101	.910	.909	.053 (.048–.058)
Constrained paths H1-H3	450.475^*	99	.912	.910	.053 (.048–.058)
Constrained paths H1-H2	441.308^**	96	.913	.912	.053 (.048–.058)
Constrained paths H1	439.057^**	94	.913	.912	.054 (.049–.059)
Unconstrained	438.818^*	92	.913	.912	.055 (.050–.060)

Note. H= Hypothesis,

p<.05,

^**

p<.01 for chi square difference test compared to fully constrained model.