Predictors Postgraduate Research Quality: Students Perceptions

Research constitutes a fundamental mandate of higher education institutions, shaping both service delivery and broader societal contributions. Through applied research, universities identify the essential skills, technologies, and knowledge required by employers, thereby facilitating the development of academic programs that align with labor market demands. Despite its centrality, limited understanding exists regarding the key factors that influence the quality of postgraduate research. Guided by the education production function framework, this study examined the determinants and benchmarks of postgraduate research quality. A cross-sectional survey design was employed, involving 236 postgraduate students (126 males and 110 females). Data were analyzed using Structural Equation Modelling (SEM). The findings indicate that students’ perceptions of their supervisors’ competence significantly and positively influence both thesis performance and satisfaction with thesis quality. Additionally, performance in the Advanced Research Methods course significantly predicts thesis performance but does not affect satisfaction levels. Furthermore, access to research facilities does not significantly impact thesis performance but positively influences perceived thesis quality. The study concludes that effective supervision is critical to both objective and perceived research success, while the role of research methods training in shaping satisfaction is complex. Moreover, research infrastructure appears to affect students’ subjective assessments of thesis quality more than their actual performance. Based on these findings, the study recommends that universities invest in supervisor training and mentoring programs, and revise research methods curricula to better address the practical challenges faced by students.