Fertility transition status in Sub Saharan Africa
Abstract
Fertility transition has been identi ed to be a¤ected by numerous factors. This research
aimed at investigation of the most e¤ective factors a¤ecting fertility transition in Kenya.
These factors were rstly extracted from literature, convened into demographic features,
social economic features, social cultural features, reproductive features and moderniza-
tion features. All these factors had 23 parameters identi ed for this study. Principal
component analysis (PCA) was utilized using 23 parameters; Principal component analy-
sis conveyed religion, region, education and marital status as the factors. PC scores were
calculated for every point. The identi ed principal components were utilized as forecast-
ers the multiple regression model with the fertility level as the response variable. The
four components were found to be a¤ecting fertility transition di¤erently. It was found
that fertility is a¤ected positively by factors region and marital status and negatively by
factors religion and education. These four factors can be considered in the planning policy
in Kenya.
Publisher
University of Nairobi
Rights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
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