THE STATISTICAL PERISCOPE FOR THE SCIENTIFIC ACTIVITIES IN THE UNIVERSITY OF TECHNOLOGY MINNA

Abstract

The university’s research performance evaluation is often left to the external evaluators while only few of the higher institutions have internal mechanism of bibliometrics-like. The mechanism presented in this research is to help the University have a personal assessment to answer questions such as how competitive is their research and how can they demonstrate their research influence? However, bibliometrics is a valid form of assessment only it is of generalized approach; the model obtained in this work is expected to be able to periscope the unique nature of scientific activities in FUT minna. The university raking indicators used in this research were sourced from google scholar, research gate, the University resipository and through questionnaire. The observations were treated as qusi-experimental designs. The linear method of response surface methodology and Pgfplots graphical method were used. Pgfplots are visualization tool package in Latex Editor, based on tikz, a parametric plot. From the adequacy of model analyses, the causal effect of independent variables (xi); funding, international collaboration, Staff Ranking, Equipments, number of publication on Citation were highly significant. The obtained model was used to fit possible number of citation (yi) for differently assumed factors’ state (values) and graphical method was used to compare each paired factors to the number of citation on 3D plots. The Citation analysis from the obtained model indicates the Expected Citation Rate (ECR) is low among the staff with high number of publications and 12% of research publication is responsible for 78.9% of citation accrued to the University. Multidisciplinary citation effect is low, however, when assumed to be high the possible number of citation increased greatly on the Pgfplots. H-index for individual staff scientific research output is little above average with ratio 1:2.6 in a year. Using contours and 3D plots, the factors; funding, international collaboration and multi-disciplinary research is at saddle point. The ratio of number of publication to citation is on the average low. Author on open access journals with high impact factor attracted more citation than authors on non-open access journals.