Table 1.
Comparison of different linear mixed effects models.
| Dependent variable/tested model | df | AIC | logLik | Cond.R2 | Against | p(χ2) |
|---|---|---|---|---|---|---|
| %correct | ||||||
| #0: null | 9 | 35,483 | −17,732 | 0.128 | ||
| #1: + Mask | 10 | 35,316 | −17,648 | 0.168 | #0 | <0.0001 |
| #2: + EI + SREIS | 12 | 35,320 | −17,648 | 0.168 | #1 | 0.9081 n.s. |
| #3a: + FamiliarityOthers | 11 | 30,243 | −15,111 | #1 | <0.0001 | |
| #3b: + FamiliarityOwn | 11 | 35,318 | −17,648 | 0.168 | #1 | 0.8360 n.s. |
| #4: + attitudeMasks | 11 | 35,318 | −17,648 | 0.168 | #1 | 0.5975 n.s. |
| #5: + exprEmo:Mask | 15 | 35,177 | −17,527 | 0.224 | #1 | <0.0001 |
| %confidence | ||||||
| #0: null | 9 | 37,253 | −15,317 | 0.240 | ||
| #1: + Mask | 10 | 30,246 | −15,113 | 0.324 | #0 | <0.0001 |
| #2: + EI + SREIS | 12 | 30,324 | −15,113 | 0.324 | #1 | 0.9468 n.s. |
| #3a: + FamiliarityOthers | 11 | 30,243 | −15,111 | 0.324 | #1 | 0.0325 |
| #3a: + FamiliarityOwn | 11 | 30,245 | −15,111 | 0.324 | #1 | 0.0838 n.s. |
| #4: + attitudeMasks | 11 | 30,247 | −15,113 | 0.324 | #1 | 0.5115 n.s. |
The table shows the results of linear mixed effects analysis of different models in comparison with less complex models, separated by the two tested dependent variables % correct (percentage of correct emotion classifications) and % confidence (for correct emotion classifications). FS, fixed slopes (fixed factors); RS, random slopes (random factors); df, degrees of freedom; R2, conditional coefficient of determination, based on the likelihood-ratio test; and “against” indicates the model against which the current model was tested, p(χ2) provides the probability of accepting a significant effect despite a nonexistent difference regarding the more complex model versus the model specified in the “against” column.