RFQ__NIHDA201800297_AMENDMENT_1.pdf

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Attached to
Account Management, Planning, and Maintenance for Online Crowd-Sourced Studies Federal contract opportunity
Solicitation number
NIHDA201800297
Issued by
Department of Health and Human Services National Institutes of Health

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RFQ Amendment 1

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NIHDA201800297_Evaluation_Criteria_(Attachment_3).pdf PDF
NIHDA201800297_FAR_52.212-5_Clauses_(Attachment_4).pdf PDF
NIHDA201800297_Sample_Task_Order_(Attachment_2).pdf PDF
NIHDA201800297_Statement_of_Work_(Attachment_1).pdf PDF

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RFQ NIHDA201800297 AMENDMENT 1:

The following information in Bold is provided for Estimating Purposes.

Task 2: Managing the Account and Participant Compensation for Individual Studies on Amazon Mechanical Turk

The contractor will send funds to the AMT account for fulfilling compensation for participants. The contractor will regularly monitor and add funds to the AMT account to ensure there is enough for the completion of individual studies that are specified to the contractor. The following are three examples of potential studies NIMH plans to conduct on AMT, with the amount that would be added to the account for each study.

1. A large-scale memory recall task where one set of participants does the memory experiment, while another set scores the results of the memory experiment. Anticipated # of participants: 20,000 for memory task + 400,000 for scoring = 420,000 participants total.

For estimating purposes, Total cost: ~$0.25 per participant for memory task + ~$0.10 per participant for scoring

2. A large-scale object matching task. Anticipated # of trials: 10,000,000 total.

For estimating purposes, Total cost: ~$0.10 per 20 trials

3. A longitudinal study looking at effects of the time of day on cognitive performance.

Anticipated # of participants: 5,000 x 20 time points: 100,000.

For estimating purposes, Total cost: ~$0.50 per participant

The contractor would deal with managing the accounting and maintaining sufficient funds for participant compensation for these above-mentioned experiments.

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