Table 1.

Unconditional Growth Curve Models

Model	Model Fit Statistics	Intercept Factor		Slope Factor		Covariance	Quadratic Factor
		M	Var (S.E.)	M	Var (S.E.)	β	M	Var (S.E.)
Sexual Experience (probit)	χ2 = 5.78, df = 11; p = .89
	CFI = 1.00; TLI = 1.00; RMSEA = .00; WRMR = .19	NA	.98 (.08)***	1.82*	.01 (.01)	−.51
Number of Partners (linear)	χ2 = 28.77, df = 16, p = .03
	CFI = .90; TLI = .91; RMSEA = .07; SRMR = .11	.51***	.67 (.18)***	.40***	.04 (.01)**	−.49***
Number of Partners (quadratic)	χ2 = 7.38, df = 12, p = .83
	CFI = 1.00; TLI = 1.05; RMSEA = .00; SRMR = .06	.54***	.59 (.21)**	.17	.25 (.10)*	.02	−.002	.01 (.004)*
Inconsistent Condom Use (linear)	χ2 = 54.39, df = 17, p = .00
	CFI = .78; TLI = .80; RMSEA = .11; SRMR = .09	.43***	.98 (.25)***	.56	.08 (.02)***	−.38***
Inconsistent Condom Use (quadratic)	χ2 = 16.43, df=13, p = .23
	CFI = .98; TLI = .98; RMSEA = .04; SRMR = .05	.53***	.93 (.22)***	.08	.54 (.15)***	−.32*	.19	.02 (.01)***

NOTE: M = mean; Var = variance; S.E. =standard error; β = standardized coefficient; NA = mean intercept is not estimated for binary outcomes. Covariance refers to the covariance of the intercept and slope. χ² = chi-square statistic reflecting overall model fit (p > .05 indicates a good fit); df = degrees of freedom; CFI = Comparative Fit Index (≥ .90 indicates a good fit); TFI = Tucker-Lewis Index (≥ .90 indicates a good fit); RMSEA = Root Mean Square Error of Approximation (≤ .05 is considered a very close fit; .05 – .10 is considered a moderate fit); WRMR = Weighted Root-Mean-Square Residual (used for binary outcomes, ≤ .9 is considered a good fit); SRMR = Standardized Root-Mean-Square Residual (used for continuous outcomes, ≤ .08 is considered a good fit).

^*p ≤ .05

^**p ≤ .01

^***p ≤ .001