Continuous Incentives, Removal of Valence, and Bayesian Updating (online UZH)

Last registered on June 22, 2021

Pre-Trial

Trial Information

General Information

Title
Continuous Incentives, Removal of Valence, and Bayesian Updating (online UZH)
RCT ID
AEARCTR-0007773
Initial registration date
June 22, 2021
Last updated
June 22, 2021, 10:08 AM EDT

Locations

Region

Primary Investigator

Affiliation
University of Zurich

Other Primary Investigator(s)

PI Affiliation
University of Zurich
PI Affiliation
University of Zurich

Additional Trial Information

Status
In development
Start date
2021-06-29
End date
2021-09-16
Secondary IDs
Abstract
This preregistration describes an online experiment investigating reinforcement in a belief-updating task with various incentive levels and a Removal of Valence treatment. We describe the experimental design, the variables of interest, the hypotheses, and sample size. The experiment is conducted online via the University of Zurich experiment recruiting system and Qualtrics (study).
External Link(s)

Registration Citation

Citation
Buckenmaier, Johannes, Michele Garagnani and Alexander Ritschel. 2021. "Continuous Incentives, Removal of Valence, and Bayesian Updating (online UZH)." AEA RCT Registry. June 22. https://doi.org/10.1257/rct.7773-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2021-06-29
Intervention End Date
2021-09-16

Primary Outcomes

Primary Outcomes (end points)
Error Rates when State of the World is not revealed
Primary Outcomes (explanation)
Individual relative frequency of errors in the second draw (choosing the urn not prescribed by Bayesian updating) when the left urn was selected during the first draw.

Secondary Outcomes

Secondary Outcomes (end points)
Response Times
Secondary Outcomes (explanation)
Individual average response times of errors and correct decisions in the second draw in conflict and alignment situations in the Baseline Treatment.

Experimental Design

Experimental Design
This preregistration describes an online experiment investigating reinforcement in a belief-updating task with various incentive levels and a Removal of Valence treatment. We describe the experimental design, the variables of interest, the hypotheses, and sample size. The experiment is conducted online via the University of Zurich experiment recruiting system and Qualtrics (study).
Experimental Design Details
see attached PDF.
Randomization Method
Randomization done by computer (Qualtrics).
Randomization Unit
Incentives randomized across individuals between 5 and 30 rappen for a correct draw (integer values).
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
208 subjects.
Sample size: planned number of observations
208 subjects (104 for Baseline Treatment and 104 for Removal-of-Valence Treatment).
Sample size (or number of clusters) by treatment arms
4 observations for 26 different incentive levels for each treatment.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
Human Subjects Committee of the Faculty of Economics, Business Administration, and Information Technology, University of Zurich
IRB Approval Date
2021-06-07
IRB Approval Number
OEC IRB # 2021-041

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials