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Improving sexual orientation data coverage by increasing willing disclosure in recruitment
Last registered on October 15, 2019

Pre-Trial

Trial Information
General Information
Title
Improving sexual orientation data coverage by increasing willing disclosure in recruitment
RCT ID
AEARCTR-0004537
Initial registration date
October 14, 2019
Last updated
October 15, 2019 9:51 AM EDT
Location(s)

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Primary Investigator
Affiliation
The Behavioural Insights Team
Other Primary Investigator(s)
PI Affiliation
The Behavioural Insights Team
PI Affiliation
The Behavioural Insights Team
Additional Trial Information
Status
On going
Start date
2019-09-11
End date
2020-04-01
Secondary IDs
Abstract
Disclosure rates for sexual orientation data are often lower than for other demographic data such as ethnicity. It is important to increase willing disclosure of sexual orientation data to ensure that employers can identify potential biases in their recruitment processes and implement appropriate adjustments to make them fairer. We are testing the impact of messaging on increasing willing disclosure rates of sexual orientation data during recruitment. In a 4-armed randomised controlled trial, applicants starting a job application see either the current form or three alternative simple messages that aim to address different key potential reasons for non-disclosure. These are 1) mistrust in the secure handling of their demographic data, 2) the belief that disclosure would harm the application, and 3) not understanding the purpose of providing such data.
External Link(s)
Registration Citation
Citation
Davidson, Shoshana, Leonie Nicks and Vivek Roy-Chowdhury. 2019. "Improving sexual orientation data coverage by increasing willing disclosure in recruitment." AEA RCT Registry. October 15. https://doi.org/10.1257/rct.4537-1.0.
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Experimental Details
Interventions
Intervention(s)
We are implementing the trial with an online recruitment platform. The platform asks applicants to provide demographic data as soon as they register to apply for a role. The intervention is different versions of the introductory statements at the beginning of the form. Control is the current version of the form, and the three intervention arms address different key reasons for non-disclosure: 1) mistrust in the secure handling of such data, 2) the belief that disclosure would harm the application, and 3) not understanding the purpose of providing such data.
Intervention Start Date
2019-09-11
Intervention End Date
2019-12-15
Primary Outcomes
Primary Outcomes (end points)
Primary outcome measure: the probability an applicant discloses sexual orientation.
Primary Outcomes (explanation)
Disclosure is where individuals have not selected 'prefer not to say' or opted out of the entire form.
Secondary Outcomes
Secondary Outcomes (end points)
Secondary 1: probability of opting out of entire disclosure form
Secondary 2: probability of disclosure for all other diversity questions
Secondary 3: distribution of responses to sexual orientation question
Secondary 4: probability of job offer
Secondary 5: probability of submitting application
Secondary Outcomes (explanation)
1: Applicants have the option to opt out of the entire form, so this is probability that they do that
2: Applicants are asked about gender, age, ethnicity, disability, parents' university education and whether they were eligible for free school meals. We will also look at whether disclosure rates change on these other characteristics
3: This involves looking at whether the intervention changes the proportion of applicants disclosing different types of sexual orientation - it might be that the intervention increases rates of minority or majority disclosure
4: We are keen to measure and ensure that there are no harmful consequences for candidates
5: Similarly, we want to ensure there are no harmful consequences on the likelihood that applicants submit their application
Experimental Design
Experimental Design
The trial is a four-armed online randomised controlled trial (RCT) randomised on 25,000 unique individual applicants.
Experimental Design Details
Not available
Randomization Method
Using the online platform's automated randomisation functionality.
Randomization Unit
Unique applicants
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
n=25,000
Sample size: planned number of observations
n=25,000
Sample size (or number of clusters) by treatment arms
6,250 control, 6,250 mistrust intervention, 6,250 belief it harms application intervention, 6,250 value not understood intervention
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