ECON2060 Research Proposal Snapshot and Peer Review: Instructions Overview This assessment aims to support students in preparing for their major research project in behavioural economics by encouraging early engagement with research ideas, offering initial feedback, and developing peer review skills. This task is designed to prepare you for the research proposal (worth 50% of your total grade) due in at the end of the semester. You submit both items through Turnitin, with the Peer Reviews due one week after the Snapshot is due. You don’t have to write your final Research Proposal on the same topic as your Snapshot. However, the peer feedback, in addition to your mark, will guide you as to whether you are on the right track, and will hopefully inform a better, higher-quality final proposal. Note: Due to the peer review requirements and to ensure a fair distribution of peer feedback, there are NO late submissions or extensions permissible for these tasks. Learning Outcomes Assessed: LO1, LO2, LO3, LO4 Task requirements 1. Research Proposal Snapshot Write a 150–200-word snapshot outlining your research proposal. It is similar to a published paper’s Abstract, except that your Snapshot is forward-looking. Focus on a causal research question. One way to check is that you should be able to rewrite your question in the form “Does X cause Y?”. Then, specify your research method. Remember that experiments are the ‘gold standard’ for testing causality. They can be performed in the lab or in the field or with observational data from a ‘natural experiment’. You don’t have to propose an experiment, but about 80% of students typically do. If you prefer a different method, then it is doubly important that you clearly outline why your method can test a causal effect. Clearly describe: • Your causal research question • How you will design your treatment and control groups • How your treatment effect will be measured and how it well tests your causal question. Take time to consider the following items. You don’t need to explain all of this in your snapshot, but it will help focus your thinking, and will certainly aid you in your final research proposal. • Comparable conditions in experiments ensure that all groups in a study experience similar conditions, except for the independent variable being tested. This helps isolate the treatment effect of the independent variable. It reduces confounding factors and increases the internal validity of the results. How will you ensure you have comparable conditions between your treatment and control groups? • How will your design mitigate issues such as selection bias, self-selection bias, social desirability bias, self-report bias, experimenter demand bias, etc. that are common in social science research? • How will you allocate participants into groups? • How feasible is your design? What practical difficulties could you face, and how will you overcome them? Your Snapshot also needs to reference at least one relevant economics paper (or justifies why a non- economics paper is more appropriate). This is in preparation for your final research proposal, in which, in the Related Literature section, you are required to reference, in a substantial way, at least one academic journal article that has been published since 2024. 2. Research Proposal Snapshot After the deadline for submitting your snapshot has passed, you will be assigned three peer proposals to review. You do this through the same Turnitin link. Your task is to provide substantive and constructive feedback on each one. • You will first mark each Snapshot on each of the 7 criteria, using the 3-point scale “Weak”, “Moderate”, or “Strong”. • You will then give free-text feedback about the strengths and weaknesses of the Snapshot, and your suggestions for improvements (min. 50 words). Academic Integrity and AI Use You may use AI tools to assist your thinking and drafting of your Snapshot. However, you must critically engage with your work and demonstrate detailed comprehension of your submission. This task is designed to give you feedback on your own thinking about your final assessment; an AI- generated Snapshot would not provide much value to you. You cannot use AI to generate your Peer Feedback. Every student could just ask ChatGPT to give feedback on their Snapshot, so your doing so would not provide any value to them. Writing your own feedback is not a difficult task, but it will help your peers understand which parts of their idea aren’t clear and need improvement. Any use of AI assistance for your Peer Reviews would constitute a breach of the Student Code of Conduct. Support and Preparation Your main source for preparing for this task are the tutorial activities. The material covered in tutorials 7, 8, and 9 will be particularly useful. Tutors are available to assist in consult times and at certain times during research proposal related questions in the tutorials to help refine your ideas. The task description for the 50% research proposal may also be useful because the snapshot is preparation for this larger assessment (see the following link for full details of that final assessment: ECON2060-20885-7520 - Course profiles - The University of Queensland). Rubric Criteria Pass (1 mark) Fail (0 marks) Topic There is a clear, original, and specific research question. Research question is unclear or unoriginal. Contribution The proposal clearly outlines how the research contributes to existing knowledge. The proposal does not clearly outline how the research contributes to existing knowledge. BE Concept The proposal is grounded in a clearly relevant behavioural economics concept. Behavioural economics concept is missing or not correctly linked to the topic. Feasibility The proposal outlines a methodology that is both clear and feasible. The proposal’s methodology is unclear or not practically realistic. Method The methodology aligns with causal inference principles and is appropriate for answering the research question. The methodology is unlikely to causally answer the research question. Reference The proposal references at least one relevant economics paper (or justifies why a non-economics paper is more appropriate). The proposal does not reference at least one relevant economics paper (or no appropriate justification for including a non-economics paper). Writing The proposal is well-written and easy to understand. The proposal is not well-written or easy to understand.
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