Data Collection
Planned recruitment and testing phase to empirically validate the theoretical framework with real participants.
The Final Test
After months of theoretical work, experimental design, and optimization, it's time to test the framework with real human behavior.
Can Prospect Theory explain trust decisions? Or do we need additional social preference parameters?
Recruitment Strategy
Target Sample
Compensation
Power Analysis & Resources
Behavioral
- • 100 subjects
- • ≈ 80% power for d = 0.28
- • ≈ 200 hours cubicle time (10 GB)
fMRI
- • 55 subjects (50 + 10% attrition)
- • ≈ 80% power for d = 0.68
- • ≈ 82.5h MRI + 82.5h cubicle (825 GB)
Protocol: MB3ME3
Study Phases
Trustee Role
Participants first play the role of the trustee to establish their baseline social preferences and reciprocity levels.
Inverted Trust Game
The main experiment. Participants make decisions in both Social (Trust) and Non-Social (Risk) conditions.
Additional Measures
Measurement of prosociality levels and various questionnaires. Participants receive ~€55 for their participation.
Quality Control
Inclusion Criteria
- • Passed comprehension checks
- • Response times within plausible range
- • Completed >90% of trials
Exclusion Criteria
- • Failed attention checks
- • Suspiciously fast responses (<200ms)
- • Invariant responding (same answer)
Planned Analyses
Primary Analysis
Hierarchical model comparison of 16 nested Prospect Theory models, testing whether Trust and Risk games share the same parameters or require distinct parameter values.
H₀: θtrust = θrisk (Same parameters)
H₁: θtrust ≠ θrisk (Different parameters)
Secondary Analyses
- • Parameter Recovery: Validation of individual-level estimates
- • Individual Differences: Correlation with personality traits
- • Inverted Trust: Reciprocity validation
Open Science
Preregistered on OSF. All analysis code, anonymized data, and materials will be made publicly available.
Projected Timeline
Q1 2025
Ethics approval + Preregistration
Q2 2025
Pilot testing (N=20) + experiment refinement
Q3-Q4 2025
Main data collection (N=200)
Q1 2026
Data analysis + Manuscript preparation