ORDINAL LOGISTIC REGRESSION MODEL ON THE FACTORS AFFECTING STUDENTS PERFOMANCE IN STATISTICS: A CASE STUDY OF MAASAI MARA UNIVERSITY

Abstract

ABSTRACT As a result of poor performance in statistics introductory course among the students in the universities; the study wanted to find out the factors that influence the performance of students. The purpose of the study was to conceptualize and empirically test ordinal logistic model on the factors affecting students’ statistics performance in public universities. Students’ performance was indicated by the grades they scored in the past statistical courses they undertook. The predictor variables to be studied were: high school mathematics performance, drug abuse, time for study, class size, class attendance, premature closure of the school to end year examination, belief and attitude, place of residence and gender. A detailed questionnaire of closed ended was used to collect data from the second year students who have had an introductory statistics course in Maasai Mara University and have done at least one unit of statistics. The data was entered in Microsoft excel and the imported to R Studio for analysis of the final project presentation. The results from the study was used as guidance in producing an effective and innovative remedy towards student’s statistics performance in universities. The odds ratio of lack of interest is high indicating that it is a crucial factor that is affecting performance