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Applying behavioural insights to online wagering
Last registered on December 22, 2020

Pre-Trial

Trial Information
General Information
Title
Applying behavioural insights to online wagering
RCT ID
AEARCTR-0005373
Initial registration date
February 20, 2020
Last updated
December 22, 2020 11:33 PM EST
Location(s)
Region
Primary Investigator
Affiliation
Behavioural Economics Team of the Australian Government
Other Primary Investigator(s)
PI Affiliation
Behavioural Economics Team of the Australian Government
PI Affiliation
Behavioural Economics Team of the Australian Government
PI Affiliation
Behavioural Economics Team of the Australian Government
Additional Trial Information
Status
Completed
Start date
2020-07-03
End date
2020-07-31
Secondary IDs
Abstract
This study aims to assess the impacts of behavioural interventions on gambling behaviour of online wagerers. We will test the interventions through a framed-field online experiment with randomisation at the individual level.
External Link(s)
Registration Citation
Citation
Anderson, Katrina et al. 2020. "Applying behavioural insights to online wagering." AEA RCT Registry. December 22. https://doi.org/10.1257/rct.5373-3.0.
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
Intervention details withheld until trial completion to avoid contamination.
Intervention Start Date
2020-07-03
Intervention End Date
2020-07-31
Primary Outcomes
Primary Outcomes (end points)
The amount gambled ($) over 56 gambles
Primary Outcomes (explanation)
This is a continuous measure. It is the total amount bet (lab $) over 56 gambles (gamble 9 to gamble 64) by each individual, averaged within each experimental group. The largest amount that can be gambled for each gamble is 15 lab dollars so the range of this variable will be 0 to 840 lab dollars.
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Three arm framed-field experiment, randomised at the individual level
Experimental Design Details
A three-arm randomised trial, to be evaluated using gambling data collected on the online platform and post-experiment survey. There will be two treatment arms and a control arm.
Randomisation will be at the individual level with a one-third probability of assignment to each experimental arm.
We will recruit 1,500 online wagering participants into the trial.
Participants will be required to complete a post-experiment survey.
Participants will gamble for a total of 64 gambles on the simulated online platform. They can choose to not place a bet or bet any amount from 1 lab dollar to 15 lab dollars.
Randomization Method
Randomisation done on computer
Randomization Unit
Individual level
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
No clustering
Sample size: planned number of observations
1500
Sample size (or number of clusters) by treatment arms
Each participant will have a one-third chance of being allocated to each experimental arm. Therefore, we expect approximately 500 observations each in the control, treatment group 1 and group 2.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Power calculations are for alpha of 0.05, power 80% and a two-sided test. We are aiming to recruit 1,500 participants for the trial. With 500 participants for each arm with three arms, we will be able to detect a small standardized effect size (Cohen’s d) of 0.25 – if it exists – for both the mean amount bet and the mean number of bets made. If we are unable to recruit as many participants as hoped, we will only be able to detect larger effect sizes (e.g. Cohen’s d>0.25) if such an effect exists.
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Bellberry Limited
IRB Approval Date
2020-02-17
IRB Approval Number
2020-01-021
Analysis Plan

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Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
Yes
Intervention Completion Date
July 16, 2020, 12:00 AM +00:00
Is data collection complete?
Yes
Data Collection Completion Date
July 16, 2020, 12:00 AM +00:00
Final Sample Size: Number of Clusters (Unit of Randomization)
1683 individuals
Was attrition correlated with treatment status?
No
Final Sample Size: Total Number of Observations
1683 individuals
Final Sample Size (or Number of Clusters) by Treatment Arms
558 control, 564 statement A, 561 statement B
Data Publication
Data Publication
Is public data available?
No

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Program Files
Program Files
No
Reports, Papers & Other Materials
Relevant Paper(s)
REPORTS & OTHER MATERIALS
Description
BETA public report
Citation
© Commonwealth of Australia, Department of the Prime Minister and Cabinet, Better choices: Enhancing informed decision-making for online wagering consumers.