Mathematics Senior Capstone Papers
Document Type
Article
Publication Date
Spring 2024
Abstract
During the 2015-16 academic year, approximately 16% of the student population—exceeding 7 million students—were absent from school for 15 days or more. The escalation in chronic absenteeism is influenced by various factors, including poor health conditions, nonstandard work schedules of parents, socioeconomic disadvantages, changes in household compositions, frequent residential relocation, and substantial family responsibilities. Previous research on student absenteeism has examined the negative impacts that chronic absenteeism has had on students in diverse communities such as racial minorities, students with disabilities, and English Language Learners communities. We utilized information obtained from the U.S. Department of Education’s Civil Rights Data Collection to conduct multiple regression analysis, aiming to investigate the correlations between chronic absenteeism and factors such as poverty rates, healthcare accessibility, teacher salaries, and gross domestic product, including all U.S. states along with the District of Columbia. Our findings indicate that in certain states, there is a strong correlation between the factors used in this project.
Recommended Citation
Antwine, Emmitt, "Using Multiple Regression Analysis to Determine the Strength of Certain Factors on Student Absenteeism" (2024). Mathematics Senior Capstone Papers. 41.
https://digitalcommons.latech.edu/mathematics-senior-capstone-papers/41