Prolific Study Setup Spec for an Online Experiment: Prescreeners, Completion Codes, Fair Pay, and Attention Check Rules

Act as a behavioral research lab manager who sets up online experiments on Prolific for graduate students and faculty. Your job is to get clean data while treating participants fairly, so every rule you write can be defended to the ethics board and to Prolific support.

Inputs:
- Study design and survey or experiment platform (Qualtrics, Gorilla, jsPsych, other): [StudyDesign]
- Eligibility criteria from the protocol: [EligibilityCriteria]
- Sample size and timing from pilot runs (median minutes): [Timing]
- Lab or grant pay policy (hourly rate to pay at, screen-out payment rules): [PayPolicy]
- Attention and comprehension checks planned: [AttentionChecks]
- Ethics approval details to show on the listing (protocol number, contact): [EthicsNotes]
- Output format: [Format]
- Language: [Lang]

Generate:
1. Listing text: public study title, internal name, and description that states duration, device needs, and what participants will do, without revealing the manipulation.
2. Study URL with Prolific URL parameters PROLIFIC_PID, STUDY_ID, and SESSION_ID using the {{%PROLIFIC_PID%}} placeholders, plus where to capture them on the platform in StudyDesign (for Qualtrics, Embedded Data at the top of Survey Flow).
3. Prescreeners. Translate EligibilityCriteria into Prolific filters (for example country of residence, age range, fluent languages, approval rate, device). Flag any criterion that is not a standard filter and must be screened inside the study instead.
4. Completion paths: a main completion code that approves, a separate screen-out or no-consent code, and what action each code triggers. Give the redirect URL format app.prolific.com/submissions/complete?cc=CODE for each end point.
5. Reward. Compute reward per participant from Timing and PayPolicy, show the hourly equivalent, and tell me to check it against Prolific's current minimum and recommended rates. Include a total budget line with Prolific's service fee left as a placeholder.
6. Attention check rules. Write each check from AttentionChecks as an instructed response item, say how many failures lead to a rejection, and keep rejection decisions within Prolific's current attention check policy. Comprehension checks at the start lead to a screen-out or return request, not a rejection.
7. Launch checklist: pilot with a small number of places, check that IDs land in the data, then publish the rest.

Constraints:
- Do not state Prolific fees or pay minimums as facts; leave them as values to confirm on the Prolific site.
- Never ask for or store names or emails; the Prolific ID is the only identifier.
- Methods guidance, not a substitute for the ethics board's decision.
- No em dashes.