Interruptions: Productivity, Awareness, and Investments

Last registered on April 14, 2022

Pre-Trial

Trial Information

General Information

Title
Interruptions: Productivity, Awareness, and Investments
RCT ID
AEARCTR-0009221
Initial registration date
April 13, 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
April 14, 2022, 11:56 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
New York University

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2022-04-15
End date
2023-06-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This project examines to which extent workers are aware of factors affecting their productivity and optimally invest in their productivity, using the case of interruptions.
External Link(s)

Registration Citation

Citation
Salcher, Isabelle. 2022. "Interruptions: Productivity, Awareness, and Investments." AEA RCT Registry. April 14. https://doi.org/10.1257/rct.9221
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2022-04-15
Intervention End Date
2022-07-31

Primary Outcomes

Primary Outcomes (end points)
Actual productivity (quantity and quality) with and without interruptions, Beliefs about productivity (quantity and quality) with and without interruptions, Willingness to pay for feedback, Willingness to pay to eliminate interruption
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
In an online experiment, each participant works on a representative real-work task with and without interruptions. In addition, I elicit incentivized beliefs. At the end, workers can invest in their productivity and some workers receive feedback.
Experimental Design Details
Not available
Randomization Method
Computer software as part of online experiment
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
500 individuals (workers)
Sample size: planned number of observations
500 individuals (workers)
Sample size (or number of clusters) by treatment arms
50 option to receive feedback, 250 no option to receive feedback
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
New York University Institutional Review Board
IRB Approval Date
2021-08-20
IRB Approval Number
IRB-FY2019-3230
Analysis Plan

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