Page 236 - Demo

Appendices234Table S3 - Model table for the Bayesian mixed model that predicts RT from Date outcome and Gender.PredictorsRTEstimates CI (95%)Intercept 0.82 -1.14 – 2.82Gender[Female] 0.97 -1.08 – 2.99DateAgainProbe[yes] -0.81 -3.16 – 1.45DateAgainDistractor[yes] 2.20 0.22 – 4.24Gender[Female]:DateAgainProbe[yes] 2.31 0.00 – 4.66Gender[Female]:DateAgainDistractor[yes] 0.62 -1.42 – 2.67Random Effectsσ2 2588.97τ00 Subject 1.60τ11 Subject:DateAgainProbe[yes] 26.92τ11 Subject:DateAgainDistractor[yes] 4.71N Subject 56Observations 3251Notes: All predictors were sum-coded.Tom Roth.indd 234 08-01-2024 10:42