Skip to main content
. 2023 Nov 2;14:1278531. doi: 10.3389/fendo.2023.1278531

Table 2.

Descriptives, correlations, variability statistics of momentary outcomes and level-3 predictors.

Bivariate Correlations Descriptives
Burst Variable 1 2 3 4 5 6 M SDB-S SDW-S
1 1. Negative Affect 1 -0.55 0.39 0.10 0.20 0.18 2.90 0.49 1.02
2. Positive Affect -0.85 1 -0.46 -0.08 -0.24 -0.27 4.12 0.47 1.12
3. Stress appraisal 0.38 -0.38 1 -0.18 0.13 0.05 0.73 0.73 1.44
4. Cortisol a 0.05 -0.03 0.06 1 -0.08 0.09 1.78 0.34 0.81
5. CTQ 1 0.22 42.07 12.78
6. SLE 1 2.64 1.70
2 1. Negative Affect 1 -0.67 0.33 0.17 0.06 0.23 2.80 0.60 0.88
2. Positive Affect -0.82 1 -0.27 -0.09 -0.06 -0.27 4.13 0.62 1.00
3. Stress appraisal 0.25 -0.26 1 -0.24 -0.09 0.02 2.17 0.71 1.22
4. Cortisol 0.04 0.00 0.04 1 0.03 0.08 1.78 0.37 0.77
5. CTQ 0.24
6. SLE 1
ICCs across Bursts
ICCPersonlevel 0.18 0.17 0.17 0.09
ICCBurstlevel 0.06 0.17 0.05 0.06

CTQ, Childhood Trauma Questionnaire; SLE, Stressful Life Events; ICC, Intraclass Correlation Coefficient; SDB-S, Between-subject standard deviation; SDW-S, Within-subject standard deviation. Between-subject correlations are presented above the diagonal; within-subject correlations among momentary measures are presented below the diagonal. Given that CTQ and SLE represent single time-point scores as cross-sectional data, no within-subject correlations between trait and state measures could be computed. Means and between-subject standard deviations were calculated based on aggregated person-mean scores.

a

Cortisol data were log-transformed and winsorized to three standard deviations of the sample mean.