Analysis of Factors Influencing Student Performance in Higher Education Using Regression Models

Thesis Abstract

Abstract
This thesis investigates the various factors that influence student performance in higher education using regression models. The study aims to provide insights into how different variables such as socio-economic background, study habits, and other external factors impact student academic outcomes. Through the application of regression analysis, this research seeks to identify significant predictors of student performance and provide recommendations for improving educational practices. Chapter One of the thesis provides an introduction to the research topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, structure, and definition of terms. The introduction sets the stage for the subsequent chapters by establishing the context and rationale for the research. Chapter Two presents a comprehensive literature review that synthesizes existing research on factors influencing student performance in higher education. The chapter examines various studies and theories related to student success, highlighting the importance of factors such as motivation, engagement, and support systems in academic achievement. Chapter Three details the research methodology employed in this study. The chapter discusses the research design, data collection methods, sample selection, variables, and analytical techniques used to analyze the data. It provides a clear framework for conducting the regression analysis and interpreting the results. Chapter Four presents a detailed discussion of the findings derived from the regression analysis. The chapter explores the relationships between different variables and student performance, identifying key predictors and their impact on academic outcomes. The findings shed light on the complex interplay of factors that influence student success in higher education. Chapter Five serves as the conclusion and summary of the thesis, summarizing the key findings, implications, and recommendations derived from the study. The chapter reflects on the research objectives and discusses the practical implications of the findings for educational policy and practice. Overall, this thesis contributes to the existing body of knowledge on factors influencing student performance in higher education. By utilizing regression models to analyze the data, the research provides valuable insights into the predictors of academic success and offers recommendations for enhancing student outcomes. The findings of this study have important implications for educators, policymakers, and stakeholders in the field of higher education.