Table 3.
NA | PA | ||||
---|---|---|---|---|---|
Level | Predictors | β | CI 95% | β | CI 95% |
L1 | time-of-day | 0.05*** | 0.02 – 0.07 | 0.15*** | 0.11 – 0.19 |
L1 | PA.State | −0.16*** | −0.18 – −0.14 | ||
L1 | NA.State | −0.20*** | −0.23 – −0.17 | ||
L2 | day | 0.03* | 0.00 – 0.06 | −0.00 | −0.04 – 0.03 |
L2 | DailySleepSat.State | −0.06** | −0.10 – −0.03 | 0.04 | −0.00 – 0.09 |
L3 | DailySleepSat.Trait.c | −0.29** | −0.47 – −0.11 | 0.31*** | 0.15 – 0.47 |
L3 | PA.Trait | −0.10 | −0.28 – 0.08 | ||
L3 | NA.Trait | −0.08 | −0.24 – 0.09 | ||
L3 | TannerStage | 0.10 | −0.09 – 0.30 | 0.08 | −0.09 – 0.25 |
L1*L2 | time-of-day*DailySleepSat.State | 0.03 | −0.00 – 0.07 | −0.03 | −0.06 – 0.01 |
L1*L3 | time-of-day*TannerStage | 0.01 | −0.03 – 0.05 | −0.00 | −0.06 – 0.06 |
L2*L3 | DailySleepSat.State*TannerStage | 0.02 | −0.02 – 0.06 | 0.04 | −0.01 – 0.08 |
L3*L3 | DailySleepSat.Trait.c*TannerStage | 0.13 | −0.03 – 0.28 | −0.07 | −0.22 – 0.07 |
L1*L2*L3 | time-of-day*DailySleepSat.State*TannerStage | 0.02 | −0.01 – 0.05 | −0.01 | −0.05 – 0.03 |
Random Effects | σ2 | 0.50 | 105.03 | ||
τ00 | 0.60 day:ID | 111.58 day:ID | |||
2.02 ID | 209.02 ID | ||||
τ11 | 0.19 day:ID.time-of-day | 30.71 day:ID.time-of-day | |||
0.00 ID.time-of-day | 11.44 ID.time-of-day | ||||
ρ01 | −0.58 day:ID | −0.66 day:ID | |||
−0.77 ID | −0.11 ID | ||||
ICC | 0.83 | 0.74 | |||
Observations | 2327 | 2327 | |||
Marginal R2/Conditional R2 | 0.184 / 0.861 | 0.171 / 0.788 |
Note. Intercept reflects affect in the morning. TOD=time-of-day; NA=Negative Affect (square root transformed); PA=Positive Affect; DailySleepSat.State=within-person sleep satisfaction; DailySleepSat.Trait=between-person sleep satisfaction; NA.State=within-person negative affect; NA.Trait=between-person negative affect; PA.State=within-person positive affect; PA.Trait=between-person positive affect; σ2=residual variance; τ00=between-subject variance; τ11=random-slope variance; ρ01=random-slope-intercept-correlation; ICC=intraclass-correlation coefficient.
p<.05,
p<.01,
p<.001