Thesis Abstract

Abstract
This thesis investigates the factors influencing student performance in higher education through the application of statistical modeling techniques. The study aims to identify and understand the various elements that contribute to student success or failure in a higher educational setting. By employing statistical models, the research seeks to provide insights into the complex interplay of factors that impact student performance, offering implications for educational policies and practices. The introduction sets the stage for the study by outlining the background and context of the research topic. It delves into the significance of analyzing student performance in higher education and highlights the need for a comprehensive understanding of the factors that influence academic outcomes. The literature review chapter synthesizes existing research on the factors affecting student performance in higher education. Ten key themes emerge from the literature, including the impact of socio-economic background, academic motivation, teaching quality, and peer influence on student success. These themes provide a theoretical framework for the study and guide the selection of variables for statistical modeling. The research methodology chapter details the data collection and analysis procedures used in the study. It outlines the research design, sampling strategy, data collection methods, and statistical techniques employed to analyze the data. The chapter also discusses the limitations of the study and the steps taken to address potential biases and ensure the validity and reliability of the findings. The findings chapter presents the results of the statistical analysis, revealing the significant factors that influence student performance in higher education. The discussion delves into the implications of these findings for educational policies and practices, offering recommendations for improving student outcomes and promoting academic success. In conclusion, this thesis summarizes the key findings and contributions of the study, highlighting the importance of understanding the factors that impact student performance in higher education. The research underscores the complex nature of student success and the need for targeted interventions to support students in achieving their academic goals. By employing statistical modeling techniques, this study provides valuable insights that can inform educational policies and practices aimed at enhancing student performance in higher education.

Thesis Overview