AI for Pre-Registration Drafting and Compliance

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-research-AI-pre-registration-creators

1. What is the primary purpose of pre-registering a research study before data collection?

   1. To prevent researchers from making analytic decisions after seeing results
   2. To guarantee that findings will be statistically significant
   3. To obtain funding approval from institutional review boards
   4. To automatically publish results in academic journals

2. Which of the following is an explicit output when using AI to draft a pre-registration?

   1. A dataset containing the study results
   2. An automated email to ethics committee approval
   3. A final peer-reviewed manuscript ready for submission
   4. An AsPredicted or OSF-formatted pre-registration document

3. Which of these research decisions would typically be included in a pre-specified decisions checklist?

   1. The conclusion the researcher wants the data to support
   2. The final sample size after data collection is complete
   3. The specific alpha level and exclusion criteria to apply
   4. The names of co-authors who will review the paper

4. What is the purpose of a deviations log in the context of pre-registration?

   1. To track participant recruitment timelines
   2. To list funding sources that supported the research
   3. To document any analytic decisions that differ from the original pre-registered plan
   4. To record changes made to the pre-registration document after submission

5. A researcher uses AI to draft a pre-registration. What crucial limitation should they remember?

   1. AI can substitute for the researcher's own methodological reasoning
   2. AI cannot replace peer review of the pre-registration
   3. AI eliminates the need for the researcher to follow their pre-registered plan
   4. AI will guarantee their study receives ethics approval

6. How does pre-registration contribute to research transparency?

   1. By ensuring all research questions are answered correctly
   2. By eliminating the need for informed consent procedures
   3. By automatically correcting statistical errors in submitted manuscripts
   4. By making the planned analysis publicly visible before data collection

7. Which platforms were mentioned as examples where pre-registrations can be submitted?

   1. TikTok and Instagram
   2. PubMed and Google Scholar
   3. AsPredicted and OSF
   4. YouTube and Vimeo

8. Even with AI assistance in drafting a pre-registration, what must researchers still do themselves?

   1. Request that AI make all final methodological decisions
   2. Avoid documenting any deviations from the original plan
   3. Submit the pre-registration without reviewing its accuracy
   4. Follow the pre-registered plan when conducting analyses

9. What does the term researcher degrees of freedom refer to?

   1. The number of participants required for statistical power
   2. The physical workspace where researchers conduct experiments
   3. The choices researchers can make about data analysis after seeing results
   4. The methods used to select research assistants

10. What type of comparison can AI perform for a drafted pre-registration?

    1. Comparison to the researcher's personal social media history
    2. Comparison to unrelated commercial advertising campaigns
    3. Comparison to existing pre-registration exemplars in the same field
    4. Comparison to fictional study designs from novels

11. A researcher inputs their study design into an AI system. What should they expect the AI to produce?

    1. A pre-registration draft and analysis script outline matching the plan
    2. A published article ready for journal submission
    3. A guarantee that the study will be replication
    4. A complete statistical analysis with final results

12. What is included in the pre-specified decisions checklist that AI can generate?

    1. Personal information about the research team
    2. The specific p-value needed for publication
    3. Alpha levels, exclusion criteria, and multiple comparisons corrections
    4. The journal where results will be submitted

13. What does OSF stand for in the context of research transparency?

    1. Open Science Framework
    2. Operational Study Format
    3. Original Scientific Findings
    4. Online Statistical Forum

14. When researchers make post-hoc decisions that differ from their pre-registration, what should they do?

    1. Only inform their close colleagues
    2. Document them in a deviations log
    3. Pretend the original plan was always followed
    4. Hide these decisions to avoid criticism

15. What information must a researcher provide as input for AI to draft a pre-registration?

    1. The final statistical results and conclusions
    2. Research questions, hypotheses, methodology, and analysis plan
    3. The complete raw dataset
    4. A list of potential reviewers for the manuscript