Date of Award
4-17-2009
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
First Advisor
Dr. Jiawei Liu - Chair
Second Advisor
Dr. Yu-Sheng Hsu
Third Advisor
Dr. Xu Zhang
Abstract
Substance abuse is the overindulgence in and dependence on a drug or chemical leading to detrimental effects on the individual’s health and the welfare of those surrounding him or her. Logistic regression analysis is an important tool used in the analysis of the relationship between various explanatory variables and nominal response variables. The objective of this study is to use this statistical method to determine the factors which are considered to be significant contributors to the use or abuse of substances in school-aged children and also determine what measures can be implemented to minimize their effect. The logistic regression model was used to build models for the three main types of substances used in this study; Tobacco, Alcohol and Drugs and this facilitated the identification of the significant factors which seem to influence their use in children.
DOI
https://doi.org/10.57709/1059723
Recommended Citation
Maxwell, Kori Lloyd Hugh, "Logistic Regression Analysis to Determine the Significant Factors Associated with Substance Abuse in School-Aged Children." Thesis, Georgia State University, 2009.
doi: https://doi.org/10.57709/1059723