Family and Domestic Violence - Community attitudes

Last registered on April 02, 2024

View Trial History

Pre-Trial

Trial Information

General Information

Title

Family and Domestic Violence - Community attitudes

RCT ID

AEARCTR-0013173

Initial registration date

March 20, 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

April 02, 2024, 10:36 AM EDT

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

Locations

Country

Australia

Region

Primary Investigator

Name

BETA Team Registration

Affiliation

Behavioural Economics Team of the Australian Government

Contact Primary Investigator

Other Primary Investigator(s)

PI Name

Su Mon Kyaw-Myint

PI Affiliation

BETA

Contact Investigator

PI Name

Luke Jamieson-Rogers

PI Affiliation

BETA

Contact Investigator

PI Name

Annalese Bolton

PI Affiliation

BETA

Contact Investigator

PI Name

Rachelle Damm

PI Affiliation

BETA

Contact Investigator

Additional Trial Information

Status

On going

Start date

2024-02-23

End date

2024-04-05

Keywords

Behavior, Crime, Violence, & Conflict, Labor

Additional Keywords

JEL code(s)

Secondary IDs

Prior work

This trial does not extend or rely on any prior RCTs.

Abstract

In 2023, a new guaranteed payment (paid leave) came into effect Australia wide for those experiencing family and domestic violence (FDV). This trial examines the awareness of these legislative changes and whether educating participants about leave entitlements help change community attitudes towards those experiencing FDV.

External Link(s)

Registration Citation

Citation

Bolton, Annalese et al. 2024. "Family and Domestic Violence - Community attitudes." AEA RCT Registry. April 02. https://doi.org/10.1257/rct.13173-1.0

Sponsors & Partners

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Experimental Details

Interventions

Intervention(s)

We will present an activity to participants to encourage learning about specific aspects of the legislation.

Intervention Start Date

2024-02-23

Intervention End Date

2024-04-05

Primary Outcomes

Primary Outcomes (end points)

There are two primary outcomes measuring discrimination against a person experiencing FDV (through a vignette).
1) Bonus money ($) between 0 to 1000 provided to someone who has experienced FDV (using a vignette) (Continuous variable)
2) Whether or not the person experiencing FDV should be considered for a promotion (binary)

Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)

There are three secondary outcomes:
1) attitudes towards domestic violence scale
2) attitudes towards gender inequality scale
3) Competence scale- from the Vignette presented

Secondary Outcomes (explanation)

The three outcomes are constructs and based on what have been used in a previous study. We will calculate average scores.

Experimental Design

This is a two arm Randomised Control Trial (RCT) involving an online survey experiment with members of the National Employment Standards (NES) working population. The experiment aims to leverage low awareness of the new Australian paid FDV leave legislation among the working population.

Experimental Design Details

Half our participants will learn about the legislation (through educational feedback) before responding to a vignette that requires participants to make judgements about a fictional person experiencing FDV and taking leave from work. Participants will also answer general attitudinal questions about FDV (Treatment condition). The other half of our participants will learn about the legislative requirements after they have answered questions associated with the vignette and their attitudes towards FDV (Control condition).
We will recruit a sample of participants who are representative of the Australian general working population through Pure Profile’s research participant panel.
The survey experiment will be run with those who have not experienced FDV. It will exclude those not currently in paid work and quotas are set by gender, age, state/territory.

Randomization Method

Randomisation of eligible participants into two groups using Qualtric's randomizer

Randomization Unit

individuals

Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters

No clusters

Sample size: planned number of observations

2640 individuals

Sample size (or number of clusters) by treatment arms

2640 individuals

Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

With 1,320 participants per arm, we will have 90% power to detect an effect of: • $25 higher in the mean recommended bonus in treatment compared to the control group • 5 percentage point higher in proportion recommending fictitious person for management (i.e., from 50% to 55%) in the treatment group compared to the control group We will use an alpha level of 10% and 90% power. We have chosen these settings because the intervention is extremely low risk and it would be worse to reject a possible real effect than to accept a possibly spurious one.

Supporting Documents and Materials

IRB