Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
Implementation Details ---------------------- This page describes how our lab implemented the procedures required by the official protocol for the RRR. It also describes and justifies any additions to or departures from that protocol. You can view the official protocl and the main project page for this RRR using these links: - Official Protocol: [https://osf.io/ypd78/][1] - Main RRR project page: [https://osf.io/scu2f/][2] ---------- #### Experimenters #### *The two researchers conducting the sessions have each over 15 years of experience in the field of experimental economics. Professor Thorsten Chmura holds a PhD in economics and pysics and works in the field of experimental / behavioural economics. Associate Professor Roberto Hernan-Gonzalez holds a PhD in economics and works in the field of experimental / behavioural economics* ---------- #### Setting/Lab/Equipment #### *Experiments will be conducted in the CRIBS laboratory at Nottingham Univesity which is only used as a research lab. The laboratory has 40 clients and two servers in a separate room. Each client terminal is panelled to preserve confidentiality and anonimity. All experiments conducted at this laboratory are incentivized. Participants are recruited via Orsee from a large subject pool (about 13,000 students).* ---------- #### Sample, subjects, and randomization #### **Target sample size:** *We plan to schedule 5 sessions with 40 participants tested in each, for a total of 200 participants.* **Target sample demographics:** *Undergraduate students 1st year without experience. Ages 19-22. They will receive their payments in cash at the end of the session.* **Minimum sample size after exclusions:** *Above 150 participants – 75 subjects in each condition* **Stopping rule(s):** *If, after completing our scheduled testing sessions, we have fewer than 75 participants in either conditions as a result of no-shows or exclusions, we will schedule additional testing sessions with 40 participants until we have a minimum of 75 participants in each condition.* **Randomization to conditions:** Participants will be randomly assigned to conditions by the provided Qualtrics Script. **Blinding to conditions:** *The design of the lab provides anonimity so each subject will be unaware that other participants may receive different instructions about the time constraints.* **Exclusion rules:** *We will be using the same exclusion rules required by the official protocol. We will retain the data of any excluded participant and mark them for exclusion.* **Procedures for handling testing sessions for which the number of participants is not a multiple of 4:** *We will overrecruit participants and will bump extra participants to ensure running sessions for which the number of participants is a multiple of 4. Bumped participants will receive a show-up fee, as it is the standard policy in the CRIBS lab.* ---------- #### Software/Code #### *We will be using the provided materials, including the Qualtrics scripts. We have verified that they work in our laboratory.* ---------- #### Differences from the official protocol #### *We will payout subjects in GBP. The average payout in the CRIBS laboratory is around 10£, we will have a closer look at the exchange rate to USD at the time of the experiments to ensure the same compensation. Apart from the abovementioned, we will not differ from the official protocol.* [1]: https://osf.io/ypd78/ [2]: https://osf.io/scu2f/ [3]: https://www.nottingham.ac.uk/business/nexus/nexus_portal.gif
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.