Agree to Disagree? The Effect of Policy Alignment and Voice Pitch on Gendered Perceptions of Politicians

Last registered on June 11, 2024

Pre-Trial

Trial Information

General Information

Title
Agree to Disagree? The Effect of Policy Alignment and Voice Pitch on Gendered Perceptions of Politicians
RCT ID
AEARCTR-0013374
Initial registration date
May 01, 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
May 13, 2024, 10:35 AM EDT

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

Last updated
June 11, 2024, 8:20 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
Uppsala University

Other Primary Investigator(s)

PI Affiliation
University of Groningen
PI Affiliation
The University of Tokyo

Additional Trial Information

Status
In development
Start date
2024-05-13
End date
2024-08-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
How do voters apply gender stereotypes when assessing candidates? This study will use a survey experiment to explore how voice pitch and policy agreement affect voter perceptions of female politicians. Specifically, it will examine the combined effect of a candidate's voice pitch and policy stance on voter evaluations.
External Link(s)

Registration Citation

Citation
Kage, Reiko, Yoko Okuyama and Seiki Tanaka. 2024. "Agree to Disagree? The Effect of Policy Alignment and Voice Pitch on Gendered Perceptions of Politicians." AEA RCT Registry. June 11. https://doi.org/10.1257/rct.13374-2.0
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Experimental Details

Interventions

Intervention(s)
A hypothetical candidate's policy positions in a different voice pitch.
Intervention (Hidden)
Participants will be randomly exposed to one of six audio recordings where a hypothetical candidate (male or female) discusses a gender-neutral policy issue. These recordings vary by the gender of the speaker, the pitch of the voice (low or high), and the stance on the policy (advocating or opposing):

T1: Female candidate advocating the same policy with a low-pitched voice.
T2: Female candidate opposing the policy with a low-pitched voice.
T3: Female candidate advocating the policy with a high-pitched voice.
T4: Female candidate opposing the policy with a high-pitched voice.
Control 1: Male candidate advocating with a low-pitched voice.
Control 2: Female candidate advocating a different policy with a low-pitched voice.

The script for these recordings is crafted in collaboration with a local politician and subsequently manipulated for pitch using vocal technology to ensure reality and external validity.
Intervention Start Date
2024-05-31
Intervention End Date
2024-06-30

Primary Outcomes

Primary Outcomes (end points)
1) the likelihood of voting for the candidate; 2) the perceived potential of the candidate; and 3) the assessment of the candidate’s capability.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Participants are randomly selected from an opt-in online panel maintained by a Japanese survey firm, stratified by age (6 groups), region (8 regions), and sex (male and female). After indicating their agreement or disagreement with a gender-neutral policy issue, participants will listen to one of the six randomized recordings (see "Intervention"). They will then evaluate the candidate. Post-evaluation, agreement or disagreement with the candidate's policy stance is recorded along with demographic information.



Experimental Design Details
Participants are randomly selected from an opt-in online panel maintained by a Japanese survey firm, stratified by age (6 groups; 18-29, 30-39, 40-49, 50-59, 60-69, 70 and above), region (8 regions), and sex (male and female).

After indicating their agreement or disagreement with a gender-neutral policy issue, participants will listen to one of the six randomized recordings (see "Intervention").

Policy agreements are measured using a 5-point scale: Agree, Somewhat Agree, Neither Agree nor Disagree, Somewhat Disagree, and Disagree. We then create a dummy variable that assigns one ("Agree") to respondents who either agree or somewhat agree, and zero ("Disagree") otherwise. This approach includes "Neither Agree nor Disagree" in the "Disagree" category, based on previous social psychology studies: it has been documented that Japanese respondents often select the midpoint on 5-point Likert scales. Especially concerning social policies, those who somewhat disagree often choose "Neither Agree nor Disagree" due to social desirability biases (Ogawa 2020).

They will then evaluate the candidate on three scales:

1) Likelihood of voting for the candidate.
2) Perceived potential of the candidate as a future leader.
3) Assessment of the candidate’s capability.

All three variables are measured on a 4-point scale ( “Very likely to vote” – “Very unlikely to vote” for the first variable; “Very likely to succeed as a future political leader” – “Very unlikely to succeed as a future political leader” for the second variable; “Very competent” – “Very incompetent” for the third variable).

Post-evaluation, agreement or disagreement with the candidate's policy stance is recorded along with demographic information (party affiliation, sex, education, age, height, self-reported voice pitch). We also track whether participants listened to the audio completely, skipped portions, or replayed the audio multiple times. We will examine whether this information moderates or mediates the results.

Citation:
Ogawa, K. (2020) "Does the Mid-point of Likert Scale Have an Impact on the Opinion on Social Policy?" Sociological Theory and Methods
Randomization Method
Randomization will be carried out by the survey software Qualtrics.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
2500 individuals (the treatment is not clustered)
Sample size: planned number of observations
2500 individuals
Sample size (or number of clusters) by treatment arms
T1: 500
T2: 500
T3: 500
T4: 500
Control 1: 250
Control 2: 250
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Research Ethics Committee (CETO) of the Faculty of Arts, University of Groningen
IRB Approval Date
2023-12-11
IRB Approval Number
97266933 (reference number)

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