Factors that Influence Promotion of University of Ghana Lecturers : A Survival Analysis Approach
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Date
2017-07
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Publisher
University Of Ghana
Abstract
Survival analysis has been invaluable in studies involving time to an event. The methods encompassing the idea of Survival Analysis appears to be commended by most researchers particularly in the medicinal, engineering, agricultural and actuarial fields.
This paper applied survival methods to promotion data of lecturers in the University of Ghana. The main objective was to identify the factors prominent in facilitating an early promotion of University of Ghana lecturers. The proportionality assumptions were assessed and some model diagnostics were made with some graphical presentations. The proportionality assumption was satisfied and the models were compared by their AIC values. The Weibull Proportional Hazard model recorded the lowest AIC value making it a better model to fit the data set.
The average survival time for promotion is 78.847 months with a standard deviation of 3.72 and a 95% CI [71.497, 86.198]. This means that it take an average of 6.57 years for a lecturer to earn their first promotion.
This study considers the variables age, number of UG committee membership, number of international conferences attended, number of technical reports written, number of working papers, number of books published, qualification before entry and origin of Master’s certificate as significant at 5% significance level, in influencing the time until a lecturer gets promoted at the University of Ghana.
The variables, number of children, marital status, gender, national committee membership, and college of affiliation were not significant at 5% significance level.
Evidently, young lecturers are more likely to be promoted as compared to aged lecturers. But the higher the number of UG committee membership, International conferences attended, books published and technical reports written, the more likely it is to get a promotion.
Description
MPhil.
Keywords
University of Ghana Lecturers, Survival analysis