Safeguarding Academic Rigor: Identifying and Mitigating Impediments to Research Quality in Higher Education Institutions
Authors
Associate Professor, Center for Educational Research, ISER, Addis Ababa University (Ethiopia)
Article Information
DOI: 10.47772/IJRISS.2025.91100596
Subject Category: Education
Volume/Issue: 9/11 | Page No: 7656-7665
Publication Timeline
Submitted: 2025-11-14
Accepted: 2025-12-21
Published: 2025-12-26
Abstract
The imperative for high-quality research in Higher Education Institutions (HEIs) is universally acknowledged, yet tangible evidence and consensus on its criteria remain elusive, often confined to theoretical discourses and guidelines. This ambiguity renders the state of academic research in many universities, including those in Ethiopia, susceptible to inconsistency and a lack of practical impact. This study aimed to identify the principal impediments to maintaining academic research quality, taking three Ethiopian universities as a case. A mixed-methods approach was employed, collecting quantitative and qualitative data through questionnaires and interviews from postgraduate students, instructors, research directors, and journal assessors. The analysis revealed a confluence of significant barriers, including pervasive plagiarism and academic fraud, fundamental flaws in research design and methodology, an institutional culture that prioritizes quantitative publication metrics over substantive quality, pervasive issues with research data integrity, and graduate student challenges such as indolence and imposter syndrome. The study concludes that a systemic failure to address these issues undermines the integrity and value of academic research. Consequently, it recommends concerted, multi-level interventions. These include institutionalizing robust ethical frameworks to combat plagiarism and fraud, shifting incentive structures from quantity to quality, implementing rigorous data management protocols, and establishing support systems to foster research competence and psychological resilience among graduate students.
Keywords
Research Quality, Academic Integrity, Plagiarism, Higher Education, Ethiopia, Imposter Syndrome, Research Methodology, Bibliometrics.
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References
1. Altbach, P. G., Reisberg, L., & Rumbley, L. E. (2019). Trends in global higher education: Tracking an academic revolution. UNESCO Publishing. [Google Scholar] [Crossref]
2. Besley, T. (2009). Assessing the quality of educational research in higher education: A perspective from New Zealand. In T. Besley (Ed.), Assessing the quality of educational research in higher education (pp. 1–12). Sense Publishers. [Google Scholar] [Crossref]
3. Boaz, A., & Ashby, D. (2003). Fit for purpose? Assessing research quality for evidence based policy and practice. ESRC UK Centre for Evidence Based Policy and Practice. [Google Scholar] [Crossref]
4. Breck, E., Cai, S., Nielsen, E., Salib, M., & Sculley, D. (2019). The ML test score: A rubric for ML production readiness and technical debt reduction. In 2019 IEEE International Conference on Big Data (Big Data) (pp. 1123–1132). IEEE. [Google Scholar] [Crossref]
5. Cai, L., & Zhu, Y. (2015). The challenges of data quality and data quality assessment in the big data era. Data Science Journal, 14(2), 1–10. https://doi.org/10.5334/dsj-2015-002 [Google Scholar] [Crossref]
6. Creswell, J. W., & Plano Clark, V. L. (2017). Designing and conducting mixed methods research (3rd ed.). SAGE Publications. [Google Scholar] [Crossref]
7. Deeming, C. (2022). The new science of science policy: The ‘what works’ movement and the rise of the evidence state. Journal of Social Policy, 51(1), 1–20. https://doi.org/10.1017/S0047279422000082 [Google Scholar] [Crossref]
8. Dörnyei, Z. (2007). Research methods in applied linguistics. Oxford University Press. [Google Scholar] [Crossref]
9. Firdissa J. (2023). Determinants of Academic Research Quality: The Case at Three Ethiopian Public Universities. Social Sciences & Humanities Open, 7(1), 100409, [Google Scholar] [Crossref]
10. https://doi.org/10.1016/j.ssaho.2023.100409 [Google Scholar] [Crossref]
11. Graham, I. D., Logan, J., Harrison, M. B., Straus, S. E., Tetroe, J., Caswell, W., & Robinson, N. (2006). Lost in knowledge translation: Time for a map? Journal of Continuing Education in the Health Professions, 26(1), 13–24. https://doi.org/10.1002/chp.47 [Google Scholar] [Crossref]
12. James, R., McInnis, C., & Devlin, M. (2010). Assessing learning in Australian universities. Centre for the Study of Higher Education. [Google Scholar] [Crossref]
13. Jaroonkhongdach, W., Todd, R. W., Hall, D., & Keyuravong, S. (2014). Three dimensions of research quality. Proceedings of the International Conference: Doing Research in Applied Linguistics. https://www.researchgate.net/publication/260985855 [Google Scholar] [Crossref]
14. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications. [Google Scholar] [Crossref]
15. NCDDR (National Center for the Dissemination of Disability Research). (2005). What are the standards for quality research? FHI 360. http://www.ncddr.org/kt/products/focus/focus9/ [Google Scholar] [Crossref]
16. Oancea, A. (2019). Research governance and the future(s) of research assessment. Palgrave Communications, 5(1), 1–12. https://doi.org/10.1057/s41599-019-0266-1 [Google Scholar] [Crossref]
17. Peters, M. A. (2007). Kinds of thinking, styles of reasoning. Educational Philosophy and Theory, 39(4), 350–363. https://doi.org/10.1111/j.1469-5812.2007.00344.x [Google Scholar] [Crossref]
18. Ragin, C. C., Nagel, J., & White, P. (2003). Workshop on scientific foundations of qualitative research. National Science Foundation. [Google Scholar] [Crossref]
19. Sallis, E. (2002). Total quality management in education (3rd ed.). Kogan Page. [Google Scholar] [Crossref]
20. Shavelson, R. J., & Towne, L. (Eds.). (2002). Scientific research in education. National Academy Press. [Google Scholar] [Crossref]
21. Tessema, K. A. (2022). Challenges and prospects of higher education in Ethiopia: A systematic review. Educational Research for Policy and Practice, 21(1), 1–23. https://doi.org/10.1007/s10671-021-09304-x [Google Scholar] [Crossref]
22. Tozzi, Christopher Understanding Data Quality: How Data Quality Problems Arise, 2021. (Retrieved on 5 June 2021 from https://www.precisely.com/blog/data-quality/data-quality-problems-errors [Google Scholar] [Crossref]
23. Treharne, G. J., & Riggs, D. W. (2015). Ensuring quality in qualitative research. In P. Rohleder & A. C. Lyons (Eds.), Qualitative research in clinical and health psychology (pp. 57–73). Palgrave Macmillan. https://doi.org/10.1007/978-1-137-29105-9_5 [Google Scholar] [Crossref]
24. Watermeyer, R. (2019). Competitive accountability in academic life: The struggle for social impact and public legitimacy. Edward Elgar Publishing. [Google Scholar] [Crossref]
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