RA Cheat Sheet 2026

The 30 highest-yield RA facts, distilled from real exam questions. Print it, save it as a PDF, or study it here — free, no sign-up.

1. What ethical standard governs assessment and evaluation practice? → Adherence to the profession's code of ethics and applicable laws and regulations
2. What quality assurance measure supports professional standards and ethics? → Regular self-assessment, peer review, and adherence to established standards
3. Which of the following is an example of quantitative data? → The income of participants.
4. What is the purpose of data analysis in research? → To organize and interpret data.
5. What is the primary function of reference management software like Zotero or Mendeley? → Organizing and citing sources
6. What does 'sampling' refer to in research? → Choosing participants to represent the larger population.
7. What is a 'request for proposals' (RFP) in the context of research funding? → A funder's announcement inviting research proposals on specific topics
8. The National Science Foundation (NSF) primarily funds research in which area? → Science, technology, engineering, and mathematics
9. Which software is specifically designed for qualitative data analysis? → NVivo
10. What is the ethical standard regarding data fabrication? → It is unethical and should be reported immediately.
11. How should professionals apply communication and documentation in daily practice? → Consistently integrate best practices into every aspect of professional work
12. What should be the focus when synthesizing literature? → Identifying key themes, gaps, and contradictions.
13. What ethical standard governs industry best practices practice? → Adherence to the profession's code of ethics and applicable laws and regulations
14. Why is it important to ensure data reliability and validity? → To ensure that the results are accurate and generalizable.
15. What is a common mistake in conducting a literature review? → Overlooking studies that contradict the hypothesis.
16. What is the purpose of triangulation in data collection? → To improve the reliability and validity of findings.
17. How should challenges in continuing education requirements be addressed? → Apply systematic problem-solving, seek expert guidance when needed, and document decisions
18. What is the key feature of longitudinal studies? → They track participants over an extended period.
19. Why is confidentiality important in research? → To maintain participants' trust and protect their privacy.
20. How should professionals apply core concepts and principles in daily practice? → Consistently integrate best practices into every aspect of professional work
21. What quality assurance measure supports assessment and evaluation? → Regular self-assessment, peer review, and adherence to established standards
22. How should challenges in core concepts and principles be addressed? → Apply systematic problem-solving, seek expert guidance when needed, and document decisions
23. Why is transparency important in research ethics? → To ensure that research findings are accurate and credible.
24. What quality assurance measure supports industry best practices? → Regular self-assessment, peer review, and adherence to established standards
25. What quality assurance measure supports safety and compliance? → Regular self-assessment, peer review, and adherence to established standards
26. Which section of a grant proposal demonstrates the researcher's qualifications to complete the project? → Biographical sketch or CV
27. What does the term 'metadata' refer to in research data management? → Data that describes other data
28. What is a letter of intent (LOI) in the grant application process? → A preliminary document indicating interest in submitting a full proposal
29. In research, statistical power refers to: → The probability of correctly detecting a true effect when one exists
30. Which of the following is an example of quantitative research? → Using surveys to collect numerical data.