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Relationship between contributions, incentives, and demographic diversity

Last registered on October 29, 2015

Pre-Trial

Trial Information

General Information

Title
Relationship between contributions, incentives, and demographic diversity
RCT ID
AEARCTR-0000930
Initial registration date
October 29, 2015

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
October 29, 2015, 10:33 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
University of Nottingham

Other Primary Investigator(s)

PI Affiliation
Collegio Carlo Alberto

Additional Trial Information

Status
In development
Start date
2015-10-30
End date
2015-11-30
Secondary IDs
Abstract
This study contributes to the literature that quantifies the effect of monetary and non-monetary incentives on output. In particular, it studies the relationship between contributions and demographic diversity.
External Link(s)

Registration Citation

Citation
Hinnosaar, Toomas and Marit Hinnosaar. 2015. "Relationship between contributions, incentives, and demographic diversity." AEA RCT Registry. October 29. https://doi.org/10.1257/rct.930-1.0
Former Citation
Hinnosaar, Toomas and Marit Hinnosaar. 2015. "Relationship between contributions, incentives, and demographic diversity." AEA RCT Registry. October 29. https://www.socialscienceregistry.org/trials/930/history/5831
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2015-10-30
Intervention End Date
2015-11-30

Primary Outcomes

Primary Outcomes (end points)
Please see detailed experimental design.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Please see detailed experimental design.
Experimental Design Details
Individuals will choose to participate in the study by selecting it on Amazon's Mechanical Turk platform. The study is marketed on Amazon Mechanical Turk as a 5-minute research study that involves rating and classifying jokes. Before the participants choose to participate, they will be provided with a brief description of the study. Among other information the description says that each participant will receive a payment of 50 cents for completing the study, that he is asked to read 3 jokes (anecdotes) and answer questions about these, and asked to answer 5 demographic questions; that it should take on average 5 minutes.

When an individual chooses to participate, he will first be asked 5 demographic questions. After that he will be shown the first joke, and asked to rate the joke in terms of how funny it is, whether it is appropriate or offending to specific groups of people, and classify the topic of the joke. That is repeated for 3 jokes.

When the participant has finished rating and classifying 3 jokes, he will be told that he has finished the study, but if he would like to he can help to rate and classify 3 more jokes. There are 9 randomly chosen treatments which vary by the piece-rate incentives for rating the additional jokes and by the message shown regarding opinions by which group are most valuable to us (either women or racial minorities). At that point each participant can either finish or continue to rate and classify up to 3 additional jokes.

After completing the study, the participants will receive the flat payment of 50 cents plus the additional bonus (according to the randomized treatment and participant's contribution).

Sample size:
The planned number of observations is 1800-5400 individuals. Our goal is to get at least 200 and at most 600 individuals per treatment (or control) group within short timeframe. The task will be kept open on Amazon Mechanical Turk until either (i) the end of October 31st, 2015 or (ii) 5400 subjects have completed the study. If by the end of October 31st less than 1800 subjects have completed the study, then the task will be kept open until 1800 subjects are obtained.

Outcome variables:
The key outcome variable is the number of extra tasks fulfilled (each participant is asked to fulfill 3 tasks and can choose to fulfill 0..3 extra tasks).
Randomization Method
Randomization will be done by computer
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
No clusters
Sample size: planned number of observations
Please see detailed experimental design.
Sample size (or number of clusters) by treatment arms
Please see detailed experimental design.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials