template for pre-registration
Submission to #ManyDesigns is now closed.
After having signed-up, all eligible RTs are able to submit a pre-registration outlining their experimental design proposals using the following pre-registration template. Eligible RTs have received a link to the submission form when their registration was successfully confirmed.
| Research Team (one or two researchers) | |
|---|---|
| Member 1 name | |
| Member 1 university/affiliation | |
| Member 2 name | |
| Member 2 university/affiliation | |
| Research design and analysis | |
| Detailed description of the design including the control treatment and the treatment variable / variation (competition treatment) | |
| Detailed description of the outcome variable to measure moral behavior | |
| Exact empirical specification to test for a possible competition effect on moral behavior | |
| Please specify any exclusion criteria of your analysis sample (if you use the full sample then enter "FULL SAMPLE") | |
| Estimated length of the experiment (max. 15 minutes) | |
| Please specify your incentive structure | |
| Expected bonus payment per subject (on top of GBP 1.30 show-up fee); must not exceed GBP 1.70 | |
| Experimental software you plan to use | |
| Please indicate in 3-5 sentences whether and why the conditions for the shortcut IRB (see below) apply to your experiment. | |
IRB shortcut procedure at the University of Innsbruck
The IRB shortcut procedure at the University of Innsbruck applies to ‘standard laboratory experiments’, which are defined as follows:
- No deception involved
- Voluntary participation
- No physical risks
- No measurements of physical state (e.g., saliva samples, blood samples)
- Clear information for subjects regarding duration, repetition, interactions and what is common information to subjects
- Random procedures are clearly explained to participants
- Anonymity regarding who is interacting with whom during the experiment
- Paying at least the opportunity cost of time, and avoid negative payments (losses)
- Confidentiality of payments
- Anonymous experimental data kept separate from non-anonymous payments data