Safety culture and behavioural insights: Lessons from registered electrical contractors and registered gas installers in Ireland
Last registered on January 30, 2019

Pre-Trial

Trial Information
General Information
Title
Safety culture and behavioural insights: Lessons from registered electrical contractors and registered gas installers in Ireland
RCT ID
AEARCTR-0003796
Initial registration date
January 22, 2019
Last updated
January 30, 2019 2:34 AM EST
Location(s)
Region
Primary Investigator
Affiliation
Other Primary Investigator(s)
PI Affiliation
OECD
Additional Trial Information
Status
On going
Start date
2018-12-03
End date
2019-04-30
Secondary IDs
Abstract
This study uses a randomized survey experiment to test to effects of using behavioural insights to frame safety processes and procedures among registered electrical contractors and registered gas installers in Ireland. The survey experiment examines (1) the salience of safety culture as associated with different entities in the regulatory regime, (2) the impact of personalisation, primacy, and implementation intentions on the predicted efficacy of (a) inspection processes and (b) notices; and (3) the effect of using different messengers to deliver safety messages.

External Link(s)
Registration Citation
Citation
Cavassini, Filippo and Daniel Shephard. 2019. "Safety culture and behavioural insights: Lessons from registered electrical contractors and registered gas installers in Ireland." AEA RCT Registry. January 30. https://www.socialscienceregistry.org/trials/3796/history/40836
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
The survey experiment examines (1) the salience of safety culture as associated with different entities in the regulatory regime, (2) the impact of personalisation, primacy, and implementation intentions on the predicted efficacy of (a) inspection processes and (b) notices; and (3) the effect of using different messengers to deliver safety messages.
Intervention Start Date
2018-12-04
Intervention End Date
2019-01-14
Primary Outcomes
Primary Outcomes (end points)
The primary outcomes for each of the tests listed above are as follows:
1) The proportion of terms related to safety.
2a-2b)
- The mean percentage of entities that the respondents expect would resolve (i) red non-conformances; (ii) amber non-conformances; (iii) yellow non-conformances; and (iv) [primary outcome] the mean of the the three.
- The mean percentage of time that the respondents expect they themselves would resolve (i) red non-conformances; (ii) amber non-conformances; (iii) yellow non-conformances; and (iv) [primary outcome] the mean of the the three.
2b only) The mean percentage of entities that respondents think would read the notice if (i) emailed and if (ii) posted.

3) The mean percentage of entities that would (i) read and (ii) implement the notice respectively. And the mean percentage of time that the respondent themselves would (iii) read and (iv) implement the suggestion.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary outcomes will include any differences between the predicted responses of the respondents and their predictions about their peers. In addition, the stratification variable will be leveraged to investigate subgroup differences (for example are results different for electrical contractors and gas installers).
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
The study used stratified random sampling.
Experimental Design Details
Using the randomization function of Qualtrics each new respondent was assigned a strata based on whether they work with the CRU, SSB, or are a REC/RGI. RECs/RGIs were then stratified by their sector (electric or gas), if they had been working in the sector for more than a year, and if they worked alone or in a company.
Randomization Method
Randomization was done within each starta using the randomization algorithm of Qualtrics (computerized randomization).
Randomization Unit
Individual respondents were randomly allocated.
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
300
Sample size: planned number of observations
300
Sample size (or number of clusters) by treatment arms
Arm 1: 110
Arm 2: 110
Arm 3: 80
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Teachers College, Columbia University IRB
IRB Approval Date
2018-11-21
IRB Approval Number
19-069
Analysis Plan

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Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports and Papers
Preliminary Reports
Relevant Papers