Abstract

ON THE EVALUATION OF NON-PROBABILITY SAMPLING AND LOGISTIC REGRESSION MODEL USED IN DRUG ADDICTION

Md. Shohel Rana* and Sanjit Kumer Saha

Abstract

This paper presents Fundamental Ideas of Non-Probability Sampling with an application. The application based on the prediction of drug addicted students of Islamic University, Kushtia-7003. For this purpose primary data are to be collected by using Network Sampling (for drug addicted) and Purposive Sampling (for non drug addicted) techniques. We fit the logistic Regression Model to predict the drug addicted or non drug addicted student based on their monthly family income and own expenditure. This project also provides the relationship among the financial status and academic qualification of the respondent‟s parents and addiction also.

Keywords: Introduction, Literature review, Methodology (Networking and purposive sampling, Logistic Regression Model), Results and Analysis, Summary and Conclusion.