The Impact of Information on Political Preferences

Last registered on July 03, 2019

Pre-Trial

Trial Information

General Information

Title
The Impact of Information on Political Preferences
RCT ID
AEARCTR-0004404
Initial registration date
July 02, 2019

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
July 03, 2019, 3:20 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Texas A&M University

Other Primary Investigator(s)

PI Affiliation
Universidad de las Americas

Additional Trial Information

Status
On going
Start date
2019-05-01
End date
2019-12-31
Secondary IDs
Abstract
In order to avoid experimenter demand effects, we describe the study in fields that will not become public until after the experiment is over.
External Link(s)

Registration Citation

Citation
McNamara, Trent and Roberto Mosquera. 2019. "The Impact of Information on Political Preferences." AEA RCT Registry. July 03. https://doi.org/10.1257/rct.4404-1.0
Former Citation
McNamara, Trent and Roberto Mosquera. 2019. "The Impact of Information on Political Preferences." AEA RCT Registry. July 03. https://www.socialscienceregistry.org/trials/4404/history/49288
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2019-07-08
Intervention End Date
2019-07-15

Primary Outcomes

Primary Outcomes (end points)
See the analysis plan for more information.
Primary Outcomes (explanation)
See the analysis plan for more information.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
In order to avoid experimenter demand effects, we describe this in the field that will not become public until after the experiment is over.
Experimental Design Details
See the analysis plan for more information.
Randomization Method
Randomization will be implemented through Qualtrics.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1000 individuals
Sample size: planned number of observations
1000 individuals
Sample size (or number of clusters) by treatment arms
See the analysis plan for more information.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
See the analysis plan for more information.
IRB

Institutional Review Boards (IRBs)

IRB Name
Texas A&M IRB
IRB Approval Date
2019-04-16
IRB Approval Number
IRB2018-1633D
Analysis Plan

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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