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Mixed Effects logistic regression predicting endorsement of Reverse option in Experiment 3.
| Reverse Ratei,t = β1Condition + ε | ||||
|---|---|---|---|---|
| DV | Coefficient (β) | Estimate (SE) | z-value | P value |
| Reverse | Intercept | 0.168 (.02) | 6.78 | <0.001*** |
| Passive Learning | 0.04 (.02) | 1.76 | 0.08 | |
Note: Where Reverse (1=Reverse, elsewise 0) is indexed by subject and trial and condition is an indicator variable, such that the Active learning condition serves as the intercept.
p<.001
