Competing Cues and Support for Ukraine Aid

Last registered on December 03, 2024

Pre-Trial

Trial Information

General Information

Title
Competing Cues and Support for Ukraine Aid
RCT ID
AEARCTR-0014919
Initial registration date
November 27, 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
December 03, 2024, 1:33 PM EST

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

Locations

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Primary Investigator

Affiliation
George Washington University

Other Primary Investigator(s)

Additional Trial Information

Status
On going
Start date
2024-11-25
End date
2025-12-31
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
This study consists of a randomized controlled trial (RCT) designed to study whether appeals based on religious values can influence support for military aid to Ukraine in the presence of a competing economic cue. The influence of the religious values appeal is studied both independently and in combination with appeals based on international norms and security interests.
External Link(s)

Registration Citation

Citation
Hale, Henry. 2024. "Competing Cues and Support for Ukraine Aid." AEA RCT Registry. December 03. https://doi.org/10.1257/rct.14919-1.0
Experimental Details

Interventions

Intervention(s)
This study includes one RCT.
Intervention Start Date
2024-11-25
Intervention End Date
2024-12-10

Primary Outcomes

Primary Outcomes (end points)
The primary outcome of interest is a 4-point scale of support for continuing military aid to Ukraine.
Primary Outcomes (explanation)
The outcomes of primary interest are the differences in the average value of the dependent variable associated with different treatment conditions.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This study uses a YouGov panel.
Experimental Design Details
Not available
Randomization Method
Randomization of treatment assignments is accomplished in the US using the randomization function in YouGov’s proprietary software.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
0
Sample size: planned number of observations
1000 adult residents of the United States
Sample size (or number of clusters) by treatment arms
There will be one control group (N=250) and seven treatment groups divided roughly equally among the remainder.
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
The George Washington University Office of Human Research
IRB Approval Date
2024-11-19
IRB Approval Number
Study NCR202465, approval 036286
Analysis Plan

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