(Special Issue) Relationships Among Academic Ranks, Numbers of Funded Projects, and Research Productivity of University Faculty: The Case of a Private Medical University
Author: Sheila Shu-Ling Huang(Center for Humanities and Arts Education, Kaohsiung Medical University), Shuo-Pin Shen (Office of Institutional Research, Kaohsiung Medical University)
Vol.&No.:Vol. 62, No.4
Date:December 2017
Pages:89-115
DOI:10.6209/JORIES.2017.62(4).04
Abstract:
This study modeled the relationship between types of research funding and faculty research productivity. Utilizing faculty data between 2006 and 2015 and matching with variables of interest in the institutional data system of a private medical university in Southern Taiwan, this IRB-approved study employed hierarchical regression analyses to test the assumption that types of research funding affected research productivity in numbers of publications and conference papers. The results confirmed that funding sources significantly affected faculty research productivity. Specifically, we found the following: (1) governmental programs were the most effective funding resources, and faculty performance varied across academic ranks; (2) a higher rank was correlated with more funded projects, which positively predicted research productivity; (3) younger faculty with a higher academic rank, however, outperformed others in numbers of funded projects and publications; and (4) full professors had the most diverse and sophisticated strategies regarding academic productivity in numbers of funded projects and publications. Suggestions are made herein for appropriate institutional changes and individual strategies for career advancement. A more sophisticated data collection strategy should be established to monitor trends in faculty productivity and to close the gap between the faculty capacity and job demands.
Keywords:academic rank, hierarchical regression, institutional research, research productivity
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