Table 2.
Fixed Effects | Model 1 | Model 2 | Model 3 | Model 4 |
---|---|---|---|---|
| ||||
Estimate (SE) | Estimate(SE) | Estimate(SE) | Estimate (SE) | |
Intercept | −1.163 (.374)** | −1.147 (.374)** | −1.141 (.374)** | −1.118 (.374)** |
Sample Time (WP) | .096 (.164)*** | .095 (.016)*** | .095 (.016)*** | .094 (.016)*** |
Sample Time (BP) | −.082 (.025)*** | −.082 (.025)*** | −.082 (.025)*** | −.081 (.025)*** |
Day | .003 (.009) | .003 (.009) | .004 (.009) | .004 (.009) |
Age | .017 (.002)*** | .018 (.002)*** | .018 (.002)*** | .018 (.002)*** |
Sex (1 = Male) | −.049 (.044) | −.050 (.044) | −.051 (.044) | −.051 (.044) |
Race (1 = White) | .355 (.064)*** | .354 (.064)*** | .354 (.064)*** | .354 (.064)*** |
Education | −.013 (.019) | −.015 (.019) | −.015 (.018) | −.015 (.019) |
Chronic illnesses | .006 (.012) | .005 (.012) | .005 (.012) | .005 (.012) |
Smoking status (1 = Yes) | −.337 (.070)*** | −.342 (.070)*** | −.342 (.070)*** | −.342 (.070)*** |
Medication Use (1 = Yes) | .025 (.046) | .025 (.046) | .025 (.046) | .025 (.046) |
Negative Affect (WP) | .135 (.060)* | .149 (.061)* | .165 (.073)* | .175 (.072)* |
Negative Affect (BP) | .345 (.102)*** | .399 (.105)*** | .398 (.105)*** | .386 (.105)*** |
Age x Negative Affect (WP) | .007 (.005) | .006 (.005) | .012 (.006)* | |
Age x Negative Affect (BP) | .017 (.008)* | .017 (.008)* | .016 (.008) | |
NA (WP) x NA (BP) | −.072 (.185) | .012 (.006) | ||
Age x NA (WP) x NA (BP) | −.035 (.017)* | |||
Random Effects | ||||
Intercept | .491 (.025)*** | .489 (.025)*** | .489 (.025)*** | .489 (.025)*** |
Negative Affect (WP) | .128 (.084) | .135 (.085) | .132 (.085) | .104 (.081) |
Covariance | −.014 (.049) | −.009 (.049) | −.011 (.049) | −.021 (.048) |
Residual | .519 (.013)*** | .518 (.013)*** | .519 (.013)*** | .519 (.013)*** |
Model Fit | ||||
−2 Log Likelihood | 13338.1 | 13250.6 | 13250.5 | 13246.4 |
Note:
p<.05,
p<.01,
p<.001.
WP = Within-Person, BP = Between-Person