Table 2.
Sample 1 |
Sample 2 |
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---|---|---|---|---|---|---|---|---|---|---|
B | SE | Z | p | β | B | SE | Z | p | β | |
|
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Random Intercept Variance | ||||||||||
Sleep Duration | 0.75 | 0.04 | 18.92 | <.001 | 0.66 | 0.06 | 10.31 | <.001 | ||
Negative Affect | 0.05 | 0.01 | 8.77 | <.001 | 0.06 | 0.01 | 5.24 | <.001 | ||
Random Intercept Covariance | ||||||||||
Sleep Duration & Negative Affect | −0.02 | 0.01 | −2.44 | .015 | −0.10 | −0.03 | 0.02 | −1.37 | .172 | −0.13 |
| ||||||||||
Within-person Autoregressive Effects | ||||||||||
Sleep Duration | 0.10 | 0.02 | 6.08 | <.001 | 0.10 | 0.08 | 0.03 | 2.86 | .004 | 0.09 |
Negative Affect | 0.19 | 0.02 | 9.02 | <.001 | 0.18 | 0.11 | 0.03 | 3.74 | <.001 | 0.11 |
Within-person Cross-lagged Effects | ||||||||||
Sleep Duration → Negative Affect | −0.02 | 0.00 | −6.35 | <.001 | −0.08 | −0.02 | 0.00 | −4.42 | <.001 | −0.09 |
Negative Affect → Sleep Duration | 0.04 | 0.08 | 0.49 | .623 | 0.01 | −0.10 | 0.10 | −1.03 | .306 | −0.02 |
| ||||||||||
Covariate Effects on Random Intercepts | ||||||||||
Sleep Duration | ||||||||||
Age | 0.00 | 0.00 | 1.96 | .050 | 0.05 | 0.01 | 0.00 | 2.28 | .023 | 0.09 |
Gender | 0.02 | 0.05 | 0.33 | .740 | 0.01 | 0.28 | 0.07 | 4.17 | <.001 | 0.17 |
Race | −0.43 | 0.07 | −6.15 | <.001 | −0.18 | −0.21 | 0.10 | −2.11 | .035 | −0.09 |
Negative Affect | ||||||||||
Age | −0.01 | 0.00 | −7.09 | <.001 | −0.16 | 0.00 | 0.00 | −3.67 | <.001 | −0.13 |
Gender | 0.03 | 0.01 | 3.01 | .003 | 0.07 | 0.03 | 0.02 | 1.65 | .099 | 0.06 |
Race | 0.05 | 0.02 | −2.69 | .007 | −0.08 | −0.02 | 0.03 | −0.73 | .464 | −0.03 |
Note. N = 2,022 in Sample 1, N = 782 in Sample 2. RI-CLPM = random-intercept cross-lagged panel model. Boldface indicates statistical significance with alpha of .05.