Table 2.
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
---|---|---|---|---|---|---|
Fixed effects | b (se), 95% CI | |||||
Intercept | 0.13 (0.01) 0.10–0.15* |
0.05 (0.10) −0.14–0.23 |
0.05 (0.10) −0.13–0.23 |
0.06 (0.09) −0.12–0.24 |
0.05 (0.10) −0.14–0.23 |
0.04 (0.10) −0.15–0.22 |
Time | 0.00 (0.00) 0.00–0.01 |
0.00 (0.00) 0.00–0.01 |
0.00 (0.00) −0.01–0.01 |
0.00 (0.0) −0.01–0.01 |
0.01 (0.00) 0.00–0.01 |
|
Condition | 0.00 (0.01) −0.01–0.01 |
0.02 (0.01) 0.00–0.05 |
||||
Time*condition | −0.01 (0.01) −0.02–0.00 |
|||||
Covariates | ||||||
Baseline score | 0.48 (0.06) 0.36–0.61* |
0.48 (0.06) 0.35–0.60* |
0.48 (0.06) 0.35–0.60* |
0.48 (0.06) 0.36–0.61* |
0.47 (0.06) 0.34–0.59* |
0.47 (0.06) 0.34–0.59* |
Age | 0.00 (0.01) 0.00–0.02 |
0.01 (0.01) 0.00–0.01 |
0.10 (0.01) 0.00–0.02 |
0.01 (0.01) 0.00–0.02 |
0.01 (0.01) 0.00 01–0.02 |
|
Education | −0.06 (0.02) −0.11 to −0.02* |
−0.06 (0.02) −0.11 – -0.02* |
−0.06 (0.02) −0.10 to −0.01* |
−0.06 (0.02) −0.11 to −0.02* |
−0.06 (0.02) −0.11 to −0.02* |
|
Variance components | Coef. (se) | |||||
Variance residuals intercept | 0.09 (0.00) | 0.08 (0.00) | 0.08 (0.00) | 0.07 (1.71)) | 0.08 (0.00) | 0.08 (0.00) |
Variance residuals within-person | 0.05 (0.00) | 0.05 (0.00) | 0.05 (0.00) | 0.05 (9.24) | 0.05 (0.00) | 0.05 (0.00) |
Correlation intercept slope ρ_01 | 1.00 (2.48) | |||||
Variance residuals slope | 0.00 (0.00) | 0.00 (5.51) | 0.00 (0.00) | 0.00 (0.00) | ||
F(df), p | ||||||
Comparison to previous model | 3.11 (3)* | 2.86 (1) | 0.70 (1) 1 | 2.72 (1) |
Note. Dependent variables are listed under model description. Condition coded 0 = neutral, 1 = chaos. *p < 0.05 ** p < 0.01 *** p < .001.
1 Model 5 is compared to Model 3, since Model 4 did not improve significantly compared to Model 3. Empty fields = not applicable. Model 3 and 5 are not nested and thus cannot be statistically compared.