Determinants of Contraceptive Use in Bangladesh: A Hierarchical Modeling Approach

By Md. Hasinur Rahaman Khan and J. Ewart H. Shaw.

Published by The Social Sciences Collection

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Article: Print $US10.00
Article: Electronic $US5.00

This study examines the selected determinants of contraceptive prevalence among 10-49 aged ever-married women in Bangladesh and their true impact on the contraception prevalence rate (CPR). It applies a multilevel logistic regression analysis to draw valid conclusions about the effects of the selected determinants on CPR using the 2004 Bangladesh Demographic and Health Survey (BDHS) contraceptive binary data which is a multistage stratified cluster data. Instead of standard single level logistic model, multilevel logistic regression model has been utilized since the data follow a hierarchical structure. Also the comparison between single and multilevel model has been done to investigate the necessity of multilevel effects. The findings suggest that age of the women, number of living children, education, religion, media, place of residence and wealth index have significant multilevel effects on CPR. The study has finally suggested integrating a strong awareness program that targets the 10-49 aged currently married women in Bangladesh in those divisions (level-3) and clusters (level-2) where the particular determinant of contraceptive use has been found to be less effective.

Keywords: BDHS, CPR, Division, Cluster, Multilevel, PQL, MQL

International Journal of Interdisciplinary Social Sciences, Volume 4, Issue 4, pp.103-118. Article: Print (Spiral Bound). Article: Electronic (PDF File; 1.288MB).

Dr. Md. Hasinur Rahaman Khan

Postgraduate Student, Department of Statistics, University of Warwick, Coventry, UK

He is a lecturer in Applied Statistics, ISRT, University of Dhaka, Bangladesh. He has been working at University of Dhaka since 2005. Currently he is doing his PhD in Statistics at Warwick University, UK. His research areas include Bayesian Statistics, Biostatistics, Social Statistics, and Public Health. He is an applied statistician. He is also interested in the area of Data Analysis.

J. Ewart H. Shaw

Faculty member, Department of Statistics, University of Warwick, Coventry, UK

He is an Associate Professor in the Department of Statistics at University of Warwick, UK.


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