Table 2 .
Fixed effects for multilevel models predicting momentary emotional clarity (Hypothesis 1)
| Outcome Predictor |
Coef. | Estimate (SE) | 95% CI | t | df | p | Slopes > 0a |
|---|---|---|---|---|---|---|---|
| Model 0: Momentary emotional clarity | |||||||
| Intercept | 5.24 (0.05) | [5.13, 5.34] | |||||
| Day of study (L1) | 0.05 (0.01) | [0.03, 0.07] | 4.68 | 277.5 | < .001 | 65% | |
| Model 1: Momentary emotional clarity | |||||||
| Intercept | β00 | 5.36 (0.07) | [5.21, 5.50] | ||||
| Day of study (L1) | β10 | 0.03 (0.01) | [0.004, 0.06] | 2.26 | 275.1 | .024 | |
| Sampling frequency (L2) | β01 | – 0.24 (0.10) | [– 0.44, – 0.04] | – 2.32 | 295.1 | .021 | |
| Day of study (L1) x Sampling frequency (L2) | β11 | 0.03 (0.02) | [– 0.01, 0.07] | 1.44 | 276.6 | .150 | |
Noccasions = 4351. Coef. = coefficient from multilevel Eqs. (1) to (3) in the text; L1 = Level 1 predictor; L2 = Level 2 predictor. The first day of the study was coded zero. The reference category for sampling frequency was the group with a low sampling frequency. The effect sizes were .01 for Models 0 and 1
a Based on the assumption of normally distributed slope coefficients, this value indicates the estimated percentage of slope coefficients that are positive (Hox, 2010)