Validity and Stability of the Decisional Balance for Sun Protection Inventory

Table 2

Goodness-of-fit statistics for three nested invariance models.

Model		df	CFI	CFI	TLI	RMSEA	[90% CI]
Gender
Configural invariance	164.489	40	.952	—	.933	.068	[.058, .079]
Pattern identity invariance	179.778	48	.949	−.003	.941	.064	[.054, .074]
Strong factorial invariance	195.002	56	.946	−.003	.939	.061	[.052, .070]
Racial identity
Configural invariance	148.451	40	.956	—	.939	.067	[.055, .078]
Pattern identity invariance	164.205	48	.953	−.003	.945	.063	[.052, .073]
Strong factorial invariance	192.406	56	.945	−.008	.937	.063	[.053, .073]
Age
Configural invariance	240.234	100	.948	—	.927	.073	[.061, .084]
Pattern identity invariance	287.769	132	.942	−.006	.939	.067	[.056, .077]
Strong factorial invariance	339.652	164	.935	−.007	.932	.063	[.054, .073]
Education
Configural invariance	194.881	60	.951	—	.931	.071	[.060, .082]
Pattern identity invariance	232.137	76	.943	−.008	.937	.068	[.058, .078]
Strong factorial invariance	255.272	92	.940	−.003	.935	.063	[.054, .072]
Untanned skin color
Configural invariance	190.479	60	.948	—	.928	.072	[.060, .083]
Pattern identity invariance	212.751	76	.946	−.002	.940	.065	[.055, .075]
Strong factorial invariance	242.077	92	.941	−.005	.936	.062	[.052, .071]
Stage of change for sun protection
Configural invariance	205.704	60	.941	—	.917	.074	[.063, .085]
Pattern identity invariance	238.505	76	.934	−.007	.927	.069	[.059, .079]
Strong factorial invariance	309.411	92	.913	−.021	.906	.073	[.064, .082]