Validation of new game preference ranking elicitation method

Last registered on March 19, 2024
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Pre-Trial

Trial Information

General Information

Title
Validation of new game preference ranking elicitation method
RCT ID
AEARCTR-0012907
Initial registration date
March 13, 2024

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
March 19, 2024, 5:08 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Name
Christoph Siemroth
Affiliation
University of Essex
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Other Primary Investigator(s)

PI Name
Dennie van Dolder
PI Affiliation
PI Name
Andreas Ziegler
PI Affiliation
University of Essex
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Additional Trial Information

Status
In development
Start date
2024-03-14
End date
2024-09-30
Keywords
Behavior, Lab
Additional Keywords
game theory, 2x2 games
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We validate a new methodology to elicit preferences in games.
External Link(s)

Registration Citation

Citation
Siemroth, Christoph, Dennie van Dolder and Andreas Ziegler. 2024. "Validation of new game preference ranking elicitation method." AEA RCT Registry. March 19. https://doi.org/10.1257/rct.12907-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-03-14
Intervention End Date
2024-04-30

Primary Outcomes

Primary Outcomes (end points)
The percentage of matched pairwise comparisons of the 4 possible outcomes with the correct ranking (see experimental design), once in the weak form and once in the strong form.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
See hidden
Experimental Design Details
Not available
Randomization Method
Randomization by qualtrics
Randomization Unit
Subject
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
300 profilic subjects
Sample size: planned number of observations
300 profilic subjects * 3 rankings each (+1 repetition) = 1200 observations
Sample size (or number of clusters) by treatment arms
400 observations per treatment (100 clusters/subjects per treatment)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Ethics Sub Committee 3, University of Essex
IRB Approval Date
2024-01-22
IRB Approval Number
ETH2324-0734
Analysis Plan

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