The effect of multiple attributes on manipulative framing effects

Last registered on November 17, 2023

Pre-Trial

Trial Information

General Information

Title
The effect of multiple attributes on manipulative framing effects
RCT ID
AEARCTR-0012234
Initial registration date
November 09, 2023

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
November 17, 2023, 8:05 AM EST

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

Locations

Region

Primary Investigator

Affiliation
Hitotsubashi University

Other Primary Investigator(s)

PI Affiliation
Hitotsubashi University

Additional Trial Information

Status
In development
Start date
2023-11-10
End date
2024-11-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We aim to demonstrate Equivalency Framing Effects, specifically investigating two hypotheses: (i) that the strength of the framing effect varies when the information provider is not neutral, and (ii) that the use of framing with the intent to manipulate can potentially backfire.
External Link(s)

Registration Citation

Citation
Ishikawa, Yukiko and Kan Takeuchi. 2023. "The effect of multiple attributes on manipulative framing effects." AEA RCT Registry. November 17. https://doi.org/10.1257/rct.12234-1.0
Experimental Details

Interventions

Intervention(s)
Our intervention employs hypothetical scenarios to inquire about evaluations of policies and products via a web-based survey. Participants are presented with additional information that serves as the basis for their evaluation judgments. This supplementary information is provided under different conditions, distinguished by whether the source is neutral or proponent-oriented. Furthermore, to investigate framing effects, conditions are further branched by employing both positive and negative frames in the presentation of the information.
Intervention (Hidden)
Intervention Start Date
2023-11-10
Intervention End Date
2023-11-25

Primary Outcomes

Primary Outcomes (end points)
The level of agreement to the issue, and the differences in this agreement across conditions.
Primary Outcomes (explanation)
This variable is collected in a Likert scale.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Participants are asked about their evaluations of policies and products through a web-based survey set within fictional scenarios. The product used for assessment is "ground beef," while the policy relates to "municipal mergers." For each, two attributes are defined and further described using either positive or negative frames.
Experimental Design Details
In the study, participants are asked about their evaluations of policies and products through a web-based survey set within fictional scenarios. The product used for assessment is "ground beef," while the policy relates to "municipal mergers." For each, two attributes are defined and further described using either positive or negative frames. The attributes of ground beef are (1) the ratio of lean to fat content, and (2) the proportion of natural ingredients to additives. The attributes for municipal mergers are (1) the extent of fiscal burden alleviation (as opposed to tax savings), and (2) the financial impact of newly issued municipal bonds (as opposed to fiscal burden). Moreover, the entities providing this information are divided into two groups: promoters and neutralists. Then, we compare the level of agreement (the evaluation) with the issue between the promoter condition and the neutralist condition.
Randomization Method
Randomization is done by a computer.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
16 sub groups.
Sample size: planned number of observations
3,200 participants.
Sample size (or number of clusters) by treatment arms
200 participants.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
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