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Table 1.

Model Comparisons for Different Control Conditions

ModelBICAICLR-Statp
Models on All Conditions 
RRstimulation 21,210 21,174 −49.69 <.001 
RRExperienced 21,203 21,167 −42.35 <.001 
DiffGain-Loss 21,165 21,130 −58.84 <.001 
FBGainFBLoss 21,146 210,801     
  
Models on Fixed Gain: 2, Variable Loss: 0, −1, −3 
RR 7462 7433 −58.20 <.001 
FBLoss 7404 7375     
  
Models on Fixed Loss: −1, Variable Gain: 2,3 
RR 5723 5695 −1.04 .14 
FBGain 5722 5694     
  
Models on Fixed Gain: 3, Variable Loss: 0, −1 
RR 10,384 10,353 −7.29 <.001 
FBLoss 10,377 10,346     
  
Models on Fixed Loss: 0, Variable Gain: 1, 2, 3 
RR 15,356 15,323 −3380 <.001 
FBGain 11,975 11,943     
ModelBICAICLR-Statp
Models on All Conditions 
RRstimulation 21,210 21,174 −49.69 <.001 
RRExperienced 21,203 21,167 −42.35 <.001 
DiffGain-Loss 21,165 21,130 −58.84 <.001 
FBGainFBLoss 21,146 210,801     
  
Models on Fixed Gain: 2, Variable Loss: 0, −1, −3 
RR 7462 7433 −58.20 <.001 
FBLoss 7404 7375     
  
Models on Fixed Loss: −1, Variable Gain: 2,3 
RR 5723 5695 −1.04 .14 
FBGain 5722 5694     
  
Models on Fixed Gain: 3, Variable Loss: 0, −1 
RR 10,384 10,353 −7.29 <.001 
FBLoss 10,377 10,346     
  
Models on Fixed Loss: 0, Variable Gain: 1, 2, 3 
RR 15,356 15,323 −3380 <.001 
FBGain 11,975 11,943     

The last row in each table is the model with gain and/or loss feedback, compared with the other models. LR-Stat = likelihood ratio stat.

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