Step 4: Research Ethics and Integrity
- Research ethics protects the people in your study; research integrity protects the truth of your findings.
- The core principles: informed consent, avoiding harm, confidentiality and anonymity, the right to withdraw, and honesty about the study.
- Collecting personal data means following data protection law (in the UK and EU, the GDPR): collect only what you need, store it securely, and delete it when you are done.
- Integrity means no fabrication, falsification or plagiarism, and honest disclosure of any use of AI tools.
- Almost every university requires ethics approval before you collect any data from people.
Why ethics comes before data
Ethics is not a form you fill in at the end. If your study involves people, a committee must usually approve it before you send a single survey. Data collected without approval may not be usable in your dissertation at all. Plan ethics as part of your design.
The core principles
| Principle | What it means in practice |
|---|---|
| Informed consent | Participants know what the study is, what they will do, the risks, how data will be used, and agree freely before taking part. |
| Avoid harm | No physical, psychological, social or financial harm; take extra care with sensitive topics. |
| Confidentiality | You know who said what but do not reveal it. |
| Anonymity | Even you cannot link responses to a person (for example an anonymous online survey). |
| Right to withdraw | Participants can stop at any time without giving a reason, and ask for their data to be removed up to a stated date. |
| Honesty | No deception unless it is essential, approved and followed by a full debrief. |
Informed consent in practice
Consent normally has two documents. The participant information sheet explains the study in plain language. The consent form records agreement, usually as a list of statements the participant ticks.
Draft the key consent statements for 30-minute interviews with working students.
Each statement is separate so the participant can agree to some and not others (for example, agree to the interview but not to quotations).
Vulnerable groups and sensitive topics
Extra safeguards are needed for children (under 18 in most rules, who usually need parental consent as well as their own agreement), people who may feel unable to refuse (your own students, employees or friends), and topics such as health, money, debt or personal relationships. Asking classmates about their finances may seem harmless, but a power imbalance or social pressure can make consent less than free. Offer a genuine way to decline and signpost support services where a topic could cause distress.
Data protection
If you collect information that can identify a person, data protection law applies. In the UK and EU that is the GDPR. Its practical rules for student projects are:
- Minimise: collect only what your question needs. Do you need date of birth, or just an age band?
- Secure: store data on university-approved, password-protected storage, not on a personal phone or an unencrypted USB stick.
- Separate: keep any key linking names to participant IDs apart from the data.
- Delete: state how long you keep the data and destroy it after that.
Research integrity
| Misconduct | Meaning | Example |
|---|---|---|
| Fabrication | Inventing data or results | Adding 40 made-up survey responses to reach a target |
| Falsification | Changing or selectively reporting data | Dropping awkward cases without a stated rule; only reporting the tests that were significant |
| Plagiarism | Using others’ words or ideas without credit | Paraphrasing a paper closely without citing it (Step 16) |
Using AI tools honestly
Universities now publish rules on generative AI. Typical rules allow AI for some tasks (checking grammar, suggesting search terms, explaining a method) and forbid it for others (writing your analysis or discussion). Whatever is allowed, the universal rules are: follow your own institution’s policy, never present AI-generated text as your own words, never trust an AI-supplied reference without finding the source yourself, and declare your use as your university requires.
Practise: 6 questions
Try each one on paper first, then check the worked answer.
EasyQ1. Name four principles of research ethics. Show worked answer
EasyQ2. What is the difference between confidentiality and anonymity? Show worked answer
MediumQ3. A student wants to survey their own tutorial group, which they teach as a graduate assistant. What is the ethical issue and how could it be reduced? Show worked answer
MediumQ4. A survey asks for full name, email, date of birth, home postcode and weekly hours worked. Apply data minimisation. Show worked answer
MediumQ5. After analysis, a student removes 12 respondents whose answers weaken the result. Is this acceptable? Show worked answer
ExamQ6. Identify and justify three ethical safeguards for interviews about students’ financial difficulties. [6] Show worked answer
Check yourself
1. Inventing survey responses is
2. In an interview study you can usually promise
3. Ethics approval should be obtained
Your score: 0 out of 3
The short version
- Get ethics approval before collecting data from people.
- Informed consent, no harm, confidentiality or anonymity, right to withdraw, honesty.
- Minimise, secure, separate and delete personal data.
- Never fabricate, falsify or plagiarise; follow and disclose your university’s AI rules.
Studying more than one subject? The Complete Book Bundle includes every Economics, Statistics, Mathematics, Econometrics and Research Methods book.
Research Ethics Pack · $5Consent form, participant information sheet and risk plan templates. Free sample on the product page. Or get all 7 research kits for $19.
