Principal Components and Factor Analysis of Fertility Differentials in Tanzania

dc.contributor.authorMbotwa, Christopher
dc.contributor.authorAkarro, Rocky R.
dc.date.accessioned2022-11-30T11:29:20Z
dc.date.available2022-11-30T11:29:20Z
dc.date.issued2018-04-01
dc.description.abstractThe objective of this paper is to apply principal components and factor analysis techniques in assessing factors associated with fertility differentials in Tanzania. The study utilized secondary data from 2010 Tanzania Demographic and Health Survey (2010 TDHS) dataset. Three factors were identified as the main factors associated to fertility differentials in Tanzania. The first factor was woman’ education and awareness, the second factor was woman’ demographic characteristics and the third factor was woman’ economic status. Among those factors, woman’ education and awareness was found to contribute more than all other factors in explaining fertility differentials in Tanzania. The study concluded that, in order to attain a desirable fertility level in the country, woman’ education especially on the issue of family planning needs to be improved.en_US
dc.description.sponsorshipNoneen_US
dc.identifier.citationMbotwa , C. & Akarro , R. R. (2018). Principal Components and Factor Analysis of Fertility Differentials in Tanzania . General Letters in Mathematics, 4 (2), 76-85, DOI:10.31559/glm2016.4.2.4en_US
dc.identifier.doihttps://doi.org/10.31559/glm2016.4.2.4
dc.identifier.urihttp://hdl.handle.net/20.500.11810/5922
dc.language.isoenen_US
dc.publisherRefaaden_US
dc.relation.ispartofseries4;2
dc.subjectEignvalues, Fertility, Loadings matrix, Principal Components, Tanzaniaen_US
dc.titlePrincipal Components and Factor Analysis of Fertility Differentials in Tanzaniaen_US
dc.typeJournal Article, Peer Revieweden_US
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