FAQ on phd viva questions, notes
frquent phd viva , general questions and its answers? ( focus on notes)? around 20;
ChatGPT said:
Here are 20 frequently asked PhD viva questions along with concise, structured answers that you can use for preparation.
📌 PhD Viva: Common Questions & Model Answers
1. What is your research about?
👉 My research focuses on [briefly describe topic], aiming to [state main objective] by [explain approach].
2. Why did you choose this topic?
👉 This topic is significant because [describe problem] and there is a gap in existing research that my study aims to address.
3. What motivated your research?
👉 The lack of [data, solutions, frameworks] in [specific area] motivated me to explore this problem.
4. What are your key research objectives?
👉 My study aims to:
1️⃣ [Objective 1]
2️⃣ [Objective 2]
3️⃣ [Objective 3]
5. What is the main research problem you are addressing?
👉 The study addresses [specific issue], which affects [industry/domain], and seeks to find [solution/insights].
6. How does your research contribute to the field?
👉 My research contributes by [introducing a new model/framework/theory], filling a gap in [literature/methodology], and providing [practical/theoretical] insights.
7. What are the major findings of your research?
👉 The study found that [highlight key findings], which challenge/support previous research in [explain how].
8. What methodology did you use and why?
👉 I used [qualitative/quantitative/mixed] methods because [justify based on research goals].
9. Why did you choose [specific method/tool]?
👉 It is suitable for [data type], ensures accuracy, and allows deeper analysis of [specific aspect].
10. What are the limitations of your study?
👉 The main limitations include [small sample size, limited scope, external factors], but I mitigated them by [explain solution].
11. How did you ensure the reliability and validity of your data?
👉 I used [cross-validation, triangulation, pilot studies] to enhance accuracy.
12. How do your results compare with previous research?
👉 My results [confirm/challenge] existing studies by showing [specific similarities/differences].
13. Were there any unexpected findings?
👉 Yes, [describe unexpected trend or result], which suggests that [explain possible reasons].
14. How can your research be applied in practice?
👉 It can help [industry/professionals] improve [specific application] by providing [recommendations/solutions].
15. If you had more time/resources, what would you improve?
👉 I would expand the study by [adding more data, refining methodology, exploring another variable].
16. How does your research align with existing theories?
👉 It supports [theory/model] but also introduces [new perspective].
17. What are the ethical considerations in your study?
👉 I followed ethical guidelines by [obtaining consent, ensuring confidentiality, avoiding bias].
18. How did you analyze your data?
👉 I used [statistical tools/software] to identify trends, correlations, and patterns.
19. What are the future research directions in this area?
👉 Future studies can explore [different samples, advanced techniques, new frameworks] to build upon my findings.
20. Why should your thesis be accepted?
👉 My research provides [novel insights, practical applications, a strong theoretical base], making a valuable contribution to [field of study].