Application of Growth Models to Research Literature of All India Institute of Medical Sciences
An analysis
DOI:
https://doi.org/10.14429/djlit.40.03.14876Keywords:
Growth models, Multiple linear regression analysis, Chi square test, Medical educational institutions, All India Institute of Medical Sciences, Curve fitting methodologyAbstract
In this study linear and non – linear growth models are applied to 10 years of medical literature published by the faculties of All India Institutes of Medical Sciences (AIIMS) to determine goodness of fit. The curve fitting methodology is used to fit the growth of the research literature of AIIMS. It is found that exponential growth model fits at y = 989.21e0.0648x which is comparatively best among other models. The study evinced mean relative growth rate as 1.915 and doubling times as 5.5999. Multiple linear regression analysis is also used to evaluate the effect of faculty strength and department on the research output of AIIMS. The t statistics prove that faculty strength is the significant independent variable compared to department, but it does not reach the statistical significance (p = 0.344) hence, the faculty strength and the department does not have a remarkable effect on the productivity of AIIMS.
Downloads
Published
How to Cite
Issue
Section
License
Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India