The Research Supervisors Contribution in Doctoral Studies at Government versus Private Universities of Delhi/NCR

Doctoral Education, Research Supervision, Government Universities, Private Universities, Delhi NCR, Quantitative Research, Higher Education, India

The Doctoral education represents the highest level of academic excellence with the motive of fostering autonomous researchers who can produce original contributions to their fields. Ph.D. programs are pillars of new knowledge production, new discoveries, advancing science, and helping future academics grow professionally. The quality of supervision is at the heart of this process and the function goes beyond only academic assistance to include intellectual mentorship, emotional support, and a long-lasting trust between the supervisor and the researcher. International studies have consistently shown that unclear expectations, ineffective communication, limited mentoring and misaligned objectives between supervisors and doctoral candidates are significant factors leading to delayed thesis submissions and elevated attrition rates. In India, these challenges are made worse by excessive workloads for supervisors, inefficient administration and lack of clear institutional accountability frameworks. This means that a scholar’s progress is mostly based on the ability of their supervisor rather than any consistent institutional standard. The Delhi NCR area is a great place and particularly instructive setting for this inquiry because it has both well-known public universities like the University of Delhi, Jawaharlal Nehru University, Jamia Millia Islamia, and Guru Gobind Singh Indraprastha University and also known private universities like Ashoka University, Amity University, Sharda University, and O.P. Jindal Global University. While both sectors contribute meaningfully to doctoral education and their supervisory approaches, resource environments, and institutional priorities vary in ways that remain insufficiently explored in Indian academic literature. The present study addresses this gap through a systematic comparative examination of supervisory practices across both institutional types. A quantitative research design integrating descriptive and comparative frameworks was utilized.A structured questionnaire was used to gather data from 208 doctoral scholars through purposive sampling. After checking for completeness and consistency, 199 responses were kept for final analysis. Statistical analysis was done with SPSS which included descriptive statistics, Independent Samples t-tests, One-Way ANOVA, Pearson Correlation, Multiple Linear Regression, and MANOVA. SPSS has made it laid back to compare some groups and get a better idea of how all the supervisors works together. The finding of this study give doctoral students, their supervisors, institutional administrators, and regulatory bodies like the UGC evidence-based ideas. The study improves doctoral guidelines, encourages the development of strong supervisory frameworks, and sets consistent standards for mentorship by identifying both strengths and weaknesses in supervisory practices in different institutional settings. This strengthens India’s commitment to building a fair and competitive national research ecosystem.