Table 4.

Estimates from Two-piece Multilevel Growth Curve Models with Landmark Registration for Cortisol and Significant Psychological Predictors

	Psychological Construct
Cortisol	Positive Affect		Negative Affect		State Rumination		Trait Rumination		Depression Symptoms
	b	SE	b	SE	b	SE	b	SE	b	SE
Intercept	1.70**	0.09	1.70**	0.09	1.70**	0.09	1.69**	0.09	1 73**	0.09
Psychological Constructa	−0.03	0.03	0.06	0.03	0.003	0.01	−8.04	7.22	−0.04*	0.02
Gender	0.62**	0.17	0.60**	0.17	0.61**	0.17	0.65**	0.17	0.48**	0.17
Estimates for Reactivityb
Intercept	0.01**	0.003	0.01**	0.002	0.01**	0.002	0.01**	0.002	0.01**	0.003
Psychological Constructa	−0.004*	0.001	0.01**	0.002	3.57×10−4*	1.53×10−4	−0.48*	0.20	−6.00×10−5	0.001
Gender	0.01	0.01	0.001	0.005	0.004	0.005	0.005	0.005	0.003	0.005
Estimates for Recoveryc
Intercept	−0.01**	0.001	−0.01**	0.002	−0.01**	0.001	−0.01**	0.001	−0.01**	0.001
Psychological Constructa	7.24×10−4	0.001	−0.002	0.002	−1.20×10−4	8.50×10−5	0.04	0.11	2.62×10−4	0.31
Gender	−0.01**	0.003	−0.01**	0.003	−0.01**	0.003	−0.01**	0.003	−0.01**	0.003
Indices of Model Fit
AIC	−8.1		−28.0		3.7		−38.7		4.4
BIC	5.9		−14.1		17.6		−24.8		18.1

Note.

^**p < .01,

^*p < .05;

^aPsychological Construct is a placeholder for either positive affect, negative affect, state rumination, trait rumination, or depression symptoms;

^bEstimates for slope from baseline to peak.

^cEstimates for slope from peak to end;

AIC = Akaike Information Criterion;

BIC = Bayesian Information Criterion.