Working Conditions and Work-Related Burnout During the COVID-19 Pandemic

Last registered on June 26, 2022

Pre-Trial

Trial Information

General Information

Title
Working Conditions and Work-Related Burnout During the COVID-19 Pandemic
RCT ID
AEARCTR-0009636
Initial registration date
June 22, 2022

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
June 26, 2022, 5:25 AM EDT

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

Locations

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Primary Investigator

Affiliation
University of Southern California

Other Primary Investigator(s)

PI Affiliation
RAND

Additional Trial Information

Status
In development
Start date
2022-07-05
End date
2025-11-03
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This pre-analysis plan describes data collection and empirical methods for a study on the relationship between working conditions and work-related burnout during the COVID-19 pandemic.
External Link(s)

Registration Citation

Citation
Carman, Katherine and Kathleen Mullen. 2022. "Working Conditions and Work-Related Burnout During the COVID-19 Pandemic." AEA RCT Registry. June 26. https://doi.org/10.1257/rct.9636
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
We randomize hypothetical job offers with varying working conditions related to burnout to elicit workers' stated preferences.
Intervention Start Date
2022-10-03
Intervention End Date
2022-11-03

Primary Outcomes

Primary Outcomes (end points)
Willingness-to-pay for working conditions related to burnout
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will use standard techniques and methods to elicit stated preferences for working conditions related to burnout.
Experimental Design Details
Not available
Randomization Method
Randomization by a computer
Randomization Unit
Individual-job choice pair
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
n/a
Sample size: planned number of observations
Approx. 1,100 individuals
Sample size (or number of clusters) by treatment arms
10 choice pairs per individual
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
RAND Human Subjects Protection Committee
IRB Approval Date
2022-06-22
IRB Approval Number
2020-0272-AM04
Analysis Plan

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