Skip to main content
. Author manuscript; available in PMC: 2020 Nov 1.
Published in final edited form as: Child Dev. 2018 Jul 10;90(6):e849–e867. doi: 10.1111/cdev.13116

Table 4.

Multilevel Random Slope Models Testing Within-Person Lagged Effects of Intensity of Previous Day’s Academic Stressors on Current Day’s Salivary Cortisol (nmol/l, over 9 days), Moderated by Implicit Theories of Intelligence (Part 2).

DV: Current Day’s Cortisol (nmol/l)
Model IV
Academic Stressors Only
Model V
Academic and Social Stressors
IVs: B
(SE)
β
(SE)
p B
(SE)
β
(SE)
p
(Intercept) 11.31
(1.89)
<.001*** 11.23
(1.89)
< .001***
Level 1 (Day)
 Intensity of Previous Day’s Academic Stressors (t-1) −1.05
(0.33)
−0.12
(0.04)
.002** −1.04
(0.34)
−0.12
(0.04)
.002**
 Intensity of Current Day’s Academic Stressors (t) −0.01
(0.16)
−0.00
(0.02)
.948 −0.02
(0.16)
−0.00
(0.02)
.904
 Intensity of Previous Day’s Social Stressors (t-1) 0.17
(0.29)
0.02
(0.03)
.550
Cross-Level Interaction
 Intensity of Previous Day’s Academic Stressors (t-1) ×
 Incremental Theory of Intelligence
0.44
(0.16)
0.08
(0.03)
.005** 0.45
(0.16)
0.08
(0.03)
.005**
 Intensity of Previous Day’s Academic Stressors (t-1) ×
 Grades Change
0.22
(0.18)
0.04
(0.03)
.218 0.22
(0.18)
0.04
(0.03)
.226
 Intensity of Previous Day’s Social Stressors (t-1) ×
 Incremental Theory of Intelligence
0.06
(0.14)
0.01
(0.03)
.665
 Intensity of Previous Day’s Social Stressors (t-1) ×
 Grades Change
−0.02
(0.16)
−0.00
(0.03)
.895
Level 1 N 1,941 1,941
Level 2 N 354 354
Residual variance 31.43 31.43
Residual standard deviation 5.61 5.61

Note: Random slope and intercept models in R estimated within-person associations between the intensity of previous day’s academic stressors and the current day’s cortisol levels, moderated by implicit theories of intelligence. Level 1 (day level) predictors were centered at person-level mean; Incremental theory of intelligence was centered at −1SD from the grand mean. Level 1 and 2 covariates were suppressed (see online supplement for the full model outputs). Degrees of freedom varied due to different patterns of missing data for the various measures. B = unstandardized coefficient.

**

p < .01

***

p < .001.