Cognitive uncertainty and cognitive abilities in preference elicitation

Last registered on December 16, 2021


Trial Information

General Information

Cognitive uncertainty and cognitive abilities in preference elicitation
Initial registration date
May 28, 2020

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
May 29, 2020, 3:38 PM EDT

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

Last updated
December 16, 2021, 3:54 PM EST

Last updated is the most recent time when changes to the trial's registration were published.


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Primary Investigator

Agricultural University of Athens

Other Primary Investigator(s)

PI Affiliation
Purdue University
PI Affiliation
University of Arkansa

Additional Trial Information

In development
Start date
End date
Secondary IDs
C80, D44
Prior work
This trial does not extend or rely on any prior RCTs.
The aim of the study is to examine how cognitive uncertainty is moderated by cognitive ability in preference elicitation research. Moreover, it is examined whether subjects under higher cognitive uncertainty are more likely to accept to have their choice be replaced with a bid that maximizes subjects' expected payoff and whether replacing their choice varies with increasing cost levels.
External Link(s)

Registration Citation

Drichoutis, Andreas, Jayson Lusk and Rodolfo Nayga. 2021. "Cognitive uncertainty and cognitive abilities in preference elicitation." AEA RCT Registry. December 16.
Experimental Details


Subjects' preferences in an induced value BDM task will be elicited. Subjects will be allowed to express their uncertainty about their selected bid on a 0 to 10 scale. Subjects will then be asked to have their bid replaced with a payoff maximizing bid. The cost of replacing the bid will vary within-subjects.
Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
The bid that subjects submit, the level of their cognitive uncertainty, and whether or not they select to purchase the payoff-maximizing bid in relation to their cognitive ability.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
There will be a 3x5 within-subjects treatments varying the induced values and the cost of purchasing the payoff-maximizing bid.

Experimental Design Details
Not available
Randomization Method
Computer will do all randomizations i.e. will randomize order of treatments within subjects.
Randomization Unit
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
Sample size: planned number of observations
Sample size (or number of clusters) by treatment arms
at least 200 subjects
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
With N=200 we can detect a difference between d=0.125 and 0.338 in bids depending on the assumptions about sigma and the Intra-class Correlation Coefficient across rounds.

Institutional Review Boards (IRBs)

IRB Name
University of Arkansas
IRB Approval Date
IRB Approval Number
IRB Name
Agricultural University of Athens
IRB Approval Date
IRB Approval Number