On the Investigation of Awareness Level of Family Planning among Rural Dwellers in Nigeria (Principal Component Analysis Approach)
Keywords:
Family Planning, Principal Component, Eigen values and vectors, Marital status and Contraceptives
Abstract
This study examined the awareness level and attitude of family planning among rural dwellers in the South western part of Nigeria and its consequences on population economy of Nigeria Data were gathered from 300 respondents who were randomly selected from Seriki rural communities of western Nigeria using proportional allocation of the stratified random sampling technique The research considered to know the level of awareness between the traditional family planning methods and modern methods of contraception The modern methodswere found to be more significantly embraced than traditional family planning methods based on the analysis of the result obtained which shows that 175 prefer modern methods while 125 preferred traditional methods The factors considered in examining these are educational background economic factors marital status social factor ethnicity and illiteracy level the data collected based on these factors was analyzed using principal component analysis technique in order to determine the most prevalent factor that causes attitudinal problems The results give rise to the Eigen values and Eigen vectors of the components whereby the variance proportion for each is given as 0 4844 0 2391 0 1480 0 0597 0 0461 and 0 0227 for economics educational background ethnicity illiteracy marital status and social status respectively thereby qualified the factors as first PC second PC third PC fourth PC fifth PC and the sixth PC respectively Thus economic factor which is the first PC is the factor that is predominantly responsible for the discovered low level of awareness and poor attitudinal behavior towards family planning
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Published
2017-07-15
Issue
Section
License
Copyright (c) 2017 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.