AI and research integrity
AI-Assisted Qualitative Coding Review Sheet
A review sheet for comparing AI coding suggestions with source evidence and recording researcher decisions.
Use your browser’s print command to print this resource. Wide tables scroll horizontally. The blank spaces are for your own notes; this page does not collect or save them.
Project: ________________________________
Researcher: ________________________________
Source / case: ________________________________
| Source Passage | AI Suggestion | Existing Related Code | Decision | Final Researcher Code | Reason |
|---|---|---|---|---|---|
| Accept / Reject / Revise / Defer | |||||
Before accepting a suggestion, ask:
- Does it match the source and surrounding context?
- Does it add motive, emotion or causality that is not supported?
- Is it too broad or too descriptive?
- Does it duplicate an existing code?
- Does participant language need to be preserved?
- What contradictory evidence exists?
- Does multilingual nuance require review of the original wording?