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Table 2.
Hierarchical Regression Models for the Contingency Task Measures
Step Variable(s) 
Step 1  
 Contingency type (zero contingency = 0 and positive contingency = 1) 
 Contingency outcome probability (25% or 75%) 
 IDD-C score 
Step 2  
 IDD-C score x contingency type 
 IDD-C score x contingency outcome probability 
Step 3  
 Negative affect 
 IDD-L score 
Step 4a  
 Negative affect x IDD-L score 
 Treatment history (dummy coded: 0 (no) and 1 (yes)) 
 Hypomanic Personality Scale (HPS) score 
 Risky Families (RF) score 
 Attitudes Toward Self (ATS) - Negative Generalization score Sheehan Disability Scale (SDS) score Depression diagnosis Depression treatment Anxiety diagnosis Anxiety treatment 
Step 5b  
 Frequency of responding 
Step Variable(s) 
Step 1  
 Contingency type (zero contingency = 0 and positive contingency = 1) 
 Contingency outcome probability (25% or 75%) 
 IDD-C score 
Step 2  
 IDD-C score x contingency type 
 IDD-C score x contingency outcome probability 
Step 3  
 Negative affect 
 IDD-L score 
Step 4a  
 Negative affect x IDD-L score 
 Treatment history (dummy coded: 0 (no) and 1 (yes)) 
 Hypomanic Personality Scale (HPS) score 
 Risky Families (RF) score 
 Attitudes Toward Self (ATS) - Negative Generalization score Sheehan Disability Scale (SDS) score Depression diagnosis Depression treatment Anxiety diagnosis Anxiety treatment 
Step 5b  
 Frequency of responding 

Note. IDD-C = Inventory to Diagnose Depression – Current. IDD-L = Inventory to Diagnose Depression – Lifetime. a Additional variables included in Sample Two were depression diagnosis, depression treatment, anxiety diagnosis, anxiety treatment, as well as the Sheehan Disability Scale. Diagnosis and treatment variables captured both current diagnosis/treatment, lifetime diagnosis/treatment, or no history of diagnosis/treatment. b Step 5 was included for the control and outcome prediction bias models only

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