Table 3.

Model Fit and Parameter Estimates for Latent Growth Models of SIP-SD

	Model A: CBT vs. HE and RT vs. HE
Model Fit
Chi-square	χ2(21) = 17.32, p = .69
RMSEA	0.00
CFI	1.00
SRMR	.04
Statistic	Estimate (SE)	95% CI
SIP-SD α	63.35 (10.74)***	[42.30, 84.39]
SIP-SD β	−.77 (.90)	[−2.53, .99]
CBT vs. HE → α	3.60 (1.96)	[−.24, 7.44]
CBT vs. HE → β	−.02 (.16)	[−.33, .28]
RT vs. HE → α	3.52 (1.87)	[−.15, 7.18]
RT vs. HE → β	−.32 (.15)*	[−.62, −.02]
	Model B: RT vs. CBT and HE vs. CBT
Model Fit
Chi-square	χ2(21) = 17.32, p = .69
RMSEA	0.00
CFI	1.00
SRMR	.04
Statistic	Estimate (SE)	95% CI
SIP-SD α	66.95 (10.72)***	[45.93, 87.97]
SIP-SD β	−.79 (.89)	[−2.54, .96]
RT vs. CBT → α	−.09 (1.91)	[−3.83, 3.66]
RT vs. CBT → β	−.30 (.16)*	[−.61, .01]
HE vs. CBT → α	−3.60 (1.96)	[−7.44, .24]
HE vs. CBT → β	.02 (.16)	[−.28, .33]

Note. SIP-SD = social disruption category of Sickness Impact Profile; CI = confidence interval; RMSEA = root-mean-square error of approximation; CFI = comparative fit index; SRMR = standardized root-mean-square residual; CBT = cognitive behavioral therapy; RT = relaxation therapy; HE = health education; α = intercept factor; β = slope factor; Unstandardized estimates (standard error) shown;

^*p < .05;

^**p < .01;

^***p < .001.