Limited Working Memory and Amount of Information Sources

Last registered on October 11, 2021

Pre-Trial

Trial Information

General Information

Title
Limited Working Memory and Amount of Information Sources
RCT ID
AEARCTR-0008333
Initial registration date
October 05, 2021
Last updated
October 11, 2021, 4:51 AM EDT

Locations

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Primary Investigator

Affiliation
University of Bonn

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2021-10-06
End date
2021-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Online experiments (MTurk and Qualtrics) to study the effect of the number of information sources on information selection and beliefs.
External Link(s)

Registration Citation

Citation
Amelio, Andrea. 2021. "Limited Working Memory and Amount of Information Sources." AEA RCT Registry. October 11. https://doi.org/10.1257/rct.8333-1.1
Experimental Details

Interventions

Intervention(s)
Online experiments (MTurk and Qualtrics) to study the effect of the number of information sources on information selection and beliefs.
Intervention Start Date
2021-10-06
Intervention End Date
2021-12-31

Primary Outcomes

Primary Outcomes (end points)
The study contains three main outcome variables (more details in the attachment):

1) Dichotomic variable, equal to 1 if the participant selected the source correctly according to the Source Selection Rule (the best source for Main, the first to satisfy requirements for Satisficing) and 0 otherwise.
2) The position of the selected source in the list.
3) One-hundred minus the absolute distance between the probability assigned to state A in Part 2 and the correct updated probability following Bayes Rule (100 - |participant_guess - bayesian_guess|).
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Vary the number of information sources available to participants and the selection rule of these sources. Measure their performances in optimally selecting sources and in belief updating tasks.
Experimental Design Details
Not available
Randomization Method
Random draw using javascript code.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
n/a
Sample size: planned number of observations
300
Sample size (or number of clusters) by treatment arms
VII. RANDOMIZATION AND SAMPLE SIZE / POWER CALCULATION

Treatments are with the following weights:
Treatment Main: 70%
Treatment Satisficing: 30%

The sample size will be given by (with a total sample size of 300):
Treatments Main: 210
Treatment Satisficing: 90
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
IRB Approval Date
IRB Approval Number
Analysis Plan

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