Cause Analysis of Students’ Dropout Rate Using PSPP

Abstract

Student dropout is a crucial topic of universal essence, and evaluating the student dropout rate becomes a vital concern for any country as the nation spends a substantial amount of resources on the education system. It includes the money contribution of tax-payers and also a proportion of graduates and higher degree holders. Moreover, it becomes furthermore significant to realize and identify the leading causes of this dropout rate. This research article focuses on evaluating the causations for the student dropout and also endeavors to measure the relationships among these factors. It purely gravitates towards the development of a thought process that clarifies the rationalizations and underpinnings for the student dropout from universities and colleges. The research approach initiates at setting a hypothesis by consolidating the several considered factors that affect the dropout rate. After the stratification of influencing factors (sociodemographic, family background, emotional motivation, etc.), we performed statistical analysis using PSPP statistical tool. The data for the experimentation were mustered up from 328 university students, majorly belonging to the streams of science, engineering, and commerce. Furthermore, the collected data were processed as per the tool format, and frequency and descriptive analysis were accomplished to calculate the quality of the collected data. A chi-square test was employed to find the relationship between the considered factors and the dropout rate. The assumed hypothesis was verified, and the results reveal the list of factors that directly impacts the student dropout rate.