Table 3. Conditional and unconditional individual growth models predicting borderline personality disorder symptoms.

	Elevation (Intercept) of Individual Trajectory			Rate of Change (Slope) of Individual Trajectory			Variance Components
	Fixed Effect Coeff.	p	ES r	Fixed Effect Coeff.	p	ES r	${\sigma }_{\epsilon }^2$	p	${\sigma }_0^2$	p	${\sigma }_1^2$	p	σ 01	p	Deviance (-2LL)
Model 1
BPD	0.970	0.001	0.48	−0.143	0.001	0.24	1.024	0.001	2.505	<0.001	0.131	<0.001	−0.572	0.001	2561.679
Model 2
BPD Transform	0.544	0.001	0.57	−0.047	0.007	0.17	0.240	0.001	0.438	<0.001	0.014	0.003	−0.066	0.001	1471.801
Model 3
Gender (Male)	0.115	0.277	0.07	−0.028	0.452	0.05	0.240	0.001	0.292	0.001	0.007	0.025	−0.037	0.009	1393.828
Group (PPD)	0.354	<0.001	0.24	−0.089	0.010	0.16
Age of Entry	0.154	0.056	0.12	−0.081	0.005	0.18
DOM	0.078	0.058	0.12	−0.019	0.202	0.08
LOV	−0.048	0.318	0.06	0.008	0.356	0.03
CONSC	−0.098	0.032	0.14	−0.004	0.806	0.02
NEUR	0.150	0.001	0.23	−0.029	0.047	0.13
Model 4
Gender (Male)	0.145	0.125	0.10	−0.042	0.234	0.08	0.238	0.001	0.239	0.001	0.004	0.046	−0.027	0.045	1355.903
Group (PPD)	0.360	<0.001	0.25	−0.081	0.016	0.16
Age of Entry	0.173	0.033	0.14	−0.085	0.006	0.18
DOM	0.062	0.132	0.10	−0.012	0.424	0.05
LOV	−0.062	0.151	0.09	0.010	0.481	0.05
CONSC	−0.066	0.088	0.11	−0.007	0.614	0.03
NEUR	0.160	<0.001	0.27	−0.033	0.023	0.15
DOMxLOV	−0.066	0.064	0.12	0.036	0.022	0.15
DOMxCONSC	−0.097	0.010	0.17	0.015	0.274	0.01
DOMxNEUR	0.033	0.275	0.07	0.002	0.878	0.07
LOVxCONSC	−0.042	0.201	0.08	0.010	0.397	0.06
LOVxNEUR	−0.085	0.002	0.20	0.017	0.033	0.14
CONSCxNEUR	−0.072	0.021	0.15	0.010	0.306	0.07

Note: Model 1 is the unconditional model using the untransformed dependant variable. Model 2 is also unconditional, but uses the square root transformed dependant variable. Model 3 is the conditional model without interactions. Model 4 is the conditional model with interaction terms included. All components of the Level-1 and Level-2 models were estimated simultaneously. Gender is coded male = 1 and female = 0; group status is coded possible personality disorder (PPD) = 1 and no personality disorder (NPD) = 0. Tabled values represent the final estimates of the fixed effects with robust standard errors. The fixed effects and variance component parameters were tested to determine if they differ from zero. ES r, effect size r, with benchmarks for dichotomous/dimensional predictors of .10/.10 = small effect, .24/.30 = medium effect, .37/.50 = large effect (Rosenthal & Rosnow, 1991). For Models 1 and 2 deviance statistics are based on six estimated parameters. Model 3 deviance is based on 20 estimated parameters. Model 4 deviance is based on 32 estimated parameters. Model estimation was done with full maximum likelihood with the HLM-6 program. Variance components and the deviance statistic reported in the rightmost columns are for the entire model. Significant values (p < .05) bolded.