Table 5.

Model Estimates for the Prediction of Cortisol Levels as a Function of Participant Gender and Role Framing

Variables	Coefficients (SE)	df	t	p
Fixed effects
Intercept	1.24 (0.13)	205.11	9.39	< .001
Phase 1 (Stress)	-0.03 (0.05)	205.90	-0.70	.484
Phase 2 (Recovery)	-0.20 (0.06)	384.75	-3.58	< .001
Gender	-0.20 (0.17)	205.11	-1.16	.247
Framing	-0.10 (0.18)	205.11	-0.58	.560
Gender × Framing	0.27 (0.24)	205.11	1.11	.268
Gender × Phase 1	-0.11 (0.06)	205.90	-1.86	.065
Gender × Phase 2	0.16 (0.07)	384.75	2.20	.028
Framing × Phase 1	-0.06 (0.06)	205.90	-0.96	.339
Framing × Phase 2	-0.02 (0.08)	384.75	-0.22	.825
Gender × Framing × Phase 1	0.20 (0.08)	205.90	2.43	.016
Gender × Framing × Phase 2	-0.12 (0.10)	384.75	-1.14	.257
Random effects	Estimate (SD)
Random intercept	0.68 (0.82)
Random slope Phase 1	0.05 (0.23)
Random slope Phase 2	0.003 (0.06)
Residual variance	0.07 (0.27)

Note. Participant gender was coded man = 0, woman = 1; Framing of leader role was coded feminine = 0, masculine = 1. Based on 209 participants with 836 longitudinal records. Phase 1 = Physiological stress responses modeled by the t1, t2, t3 measure; Phase 2 = Recovery modeled by the t3 and t4 cortisol measures; SE = standard errors; Estimate (SD) = Estimated variance of the random effect with the square root of that variance (i.e., sigma) in brackets. Unstandardized regression coefficients are reported