Are Preconceptions Postconceptions? Evidence on Motivated Political Reasoning

Last registered on November 29, 2023

Pre-Trial

Trial Information

General Information

Title
Are Preconceptions Postconceptions? Evidence on Motivated Political Reasoning
RCT ID
AEARCTR-0007985
Initial registration date
August 03, 2021

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
August 05, 2021, 5:21 AM EDT

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

Last updated
November 29, 2023, 3:56 PM EST

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

Locations

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Primary Investigator

Affiliation
University of California, Los Angeles

Other Primary Investigator(s)

PI Affiliation
Australia National University

Additional Trial Information

Status
In development
Start date
2023-11-29
End date
2023-12-13
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
How do people update their beliefs on contentious political issues when they receive new information? Do they do so in a rational manner or do they refuse to update their beliefs? To investigate this, we perform a survey experiment through survey panel company Prolific. We study the extent to which people claim their beliefs on highly salient political issues would change depending on pertinent empirical information (provided as hypotheticals). We then compare these responses to how beliefs actually change when people are given empirical information, which yields insight about the prevalence of motivated reasoning. We apply this approach to a range of issues -- police shootings of minorities, climate change, affirmative action, income taxation of the top 1%, economic mobility, transgender participation in sports, crime in Republican- and Democratic-run cities, gun control, and the Olympics. Within the same framework, we explore whether it is possible to de-bias individuals from engaging in motivated reasoning by asking individuals about how their beliefs would change as a function of varying hypotheticals.
External Link(s)

Registration Citation

Citation
Lilley, Matthew and Brian Wheaton. 2023. "Are Preconceptions Postconceptions? Evidence on Motivated Political Reasoning." AEA RCT Registry. November 29. https://doi.org/10.1257/rct.7985-2.2
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-11-29
Intervention End Date
2023-12-13

Primary Outcomes

Primary Outcomes (end points)
We study the extent to which individuals' reported normative beliefs change in response to new information. In particular, we will examine:
(a) People's ex ante beliefs about political issues (using answers of people in the control group)
(b) People's claimed responsiveness to information (using answers of people in the hypothetical group)
(c) People's ex post beliefs about political issues (using answers of people in the treatment group)
(d) People’s ex post beliefs about political issues when potentially constrained by previously-stated hypothetical beliefs (using answers of people in the hypothetical group when they are subsequently given the treatment information)

With these components, we are interested in the gap between the extent to which individuals claim, hypothetically, their beliefs would change if a given piece of information was true versus the extent to which they actually change when individuals are told the information is, in fact, true. This is evidence of motivated reasoning. Numerically, this is given by the wedge between (c) and (b), relative to the wedge between (c) and (a). (This can be measured for any given demographic or pre-treatment subgroup.)

Second, we are interested in the extent to which our approach of eliciting responses to hypotheticals before providing the true information can be used as a tool for de-biasing. Numerically, this is given by the wedge between (d) and (c) in aggregate and at the individual level.

Third, we are interested in the magnitude of the responsiveness of hypothetical beliefs to hypothetical information, relative to the cross-sectional relationship between normative beliefs and empirical beliefs in the control group. To make this more concrete, how much of the partisan difference in normative beliefs is claimed as being due to differences in information.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Our survey experiment will be posted on Prolific and distributed to their nationally-representative panel of respondents. Individuals who opt to take our survey will answer a series of questions about their beliefs relating to several different political issues. The issues will include police shootings of minorities, climate change, affirmative action, income taxation of the top 1%, economic mobility, transgender participation in sports, crime in Republican- and Democratic-run cities, gun control, and the Olympics.

Once an individual opts to take the survey, they will begin by answering a series of demographic questions. After this, for each of five of the above nine issue areas (randomly selected), the respondent will be randomly sorted into either (i) the control group, (ii) the information treatment group, or (iii) the hypothetical treatment group. Independently, they will be sorted into an "A" or "B" group, which receive slightly different orders of normative beliefs questions. In other words, an individual may be sorted into the control group ver. A for the climate change issue, the hypothetical group ver. B for the affirmative action issue, and the treatment group ver. A for the income taxation issue.

Regardless of which group the individual is sorted into, they will be asked for their belief on an empirical fact relating to a political issue. After this,

In the control group, respondents will be asked for their normative beliefs on the issue (both the A and B questions).

In the information treatment group, respondents will be presented with the true answer to the above empirical question corresponding to the issue. Then, they will be asked for their normative beliefs on the issue (both the A and B questions).

In the hypothetical group, respondents will be presented, randomly, with three hypotheticals asking what their normative beliefs would be IF the true answer to the empirical question was X, for three randomly-selected values of X (one of which is the true value). They will be asked the A version of the normative beliefs question if they were sorted into group A and the B version if they were sorted into group B.

This process is then repeated four more times for four more issues.

Comparing the extent to which individuals claim they will hypothetically update their beliefs (for the true value of X) to the extent to which they actually do update their beliefs when presented with the true information will yield information on the extent to which motivated reasoning is occurring. In addition, we will test how much people claim they will respond to new information.

Concretely, we will examine
(a) People's ex ante beliefs about political issues (using answers of people in the control group)
(b) People's claimed responsiveness to information (using answers of people in the hypothetical group)
(c) People's ex post beliefs about political issues (using answers of people in the treatment group)
(d) People’s ex post beliefs about political issues when potentially constrained by previously-stated hypothetical beliefs (using answers of people in the hypothetical group when they are subsequently given the treatment information)

At the end of the survey, for each issue on which individuals were sorted into a hypothetical group, they will receive a follow-up. They will be given the information treatment and then asked their normative beliefs on the issue (both A and B). Comparing the extent to which they then update their beliefs on A and on B will yield information on the efficacy of using the hypotheticals approach as a tool for de-biasing.

In particular, we will test:
(a) Whether the apparent degree of motivated reasoning is reduced by this process of first posing hypothetical questions
(b) Whether the apparent degree of motivated reasoning differs between the specific normative question on which the respondent previously answered the hypothetical (e.g., A) versus the normative question which they were not posed hypotheticals about (e.g., B). To the extent that de-biasing is more successful for A vis-a-vis B (in this example) this suggests a demand effect rather than a true de-biasing. To the extent that this attempted de-biasing is at least partially unsuccessful, this is indicative of the strength of motivated reasoning on political views; not only are people able to discount unfavorable information, they would have done so even in the face of information they had recently claimed would change their mind.

In a follow-up survey one week later, we will again ask people these normative beliefs questions (both the A and B versions) in order to examine the extent to which these effects persist. The mechanical demand effects whereby people in the hypothetical group feel constrained to be consistent with their hypothetical answers (e.g., for A but not constrained for B) should be substantially alleviated one week later, and this will allow us to determine whether the information treatment is persistent and any de-biasing is, in fact, real.
Experimental Design Details
Not available
Randomization Method
Randomization performed by the survey software (Qualtrics).
For each issue, the arm (control, treatment, hypothetical) that a given individual is sorted into is randomized independently.
For each issue, the order in which Question A and Question B are asked is randomized independently.
For each issue where the individual was in the hypothetical arm, the order in which the follow-up information treatment questions are asked is randomized independently.
Randomization Unit
Randomization will occur at the individual level.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
2000 individuals
Sample size: planned number of observations
2000 individuals
Sample size (or number of clusters) by treatment arms
2000 individuals each answer questions on 5 of 9 issues (randomly-selected). Consequently, each issue will be presented to approximately 1100 individuals, of which 1/4 will be sorted into the control group, 1/4 will be sorted into the information treatment group, and 1/2 will be sorted into the hypothetical group.
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
Harvard University Committee on the Use of Human Subjects (CUHS)
IRB Approval Date
2021-04-08
IRB Approval Number
IRB20-1201
IRB Name
UCLA Institutional Review Board
IRB Approval Date
2022-12-07
IRB Approval Number
IRB22-001814
IRB Name
ANU Human Research Ethics Committee
IRB Approval Date
2023-10-30
IRB Approval Number
2023/160