Family Structure and Child Educational Attainment in the Slums of Nairobi, Kenya

Abstract

Research shows that children living with two biological parents outperform those raised in other family structures. A growing number of children do not live with two biological parents in sub-Saharan Africa, but few studies have examined the consequences. In this article, data from the African Population and Health Research Center collected in the slums of Nairobi are fitted to a logistic regression model to test the hypothesis that two-parent families are most favorable to schooling outcomes in Kenya. After controlling for socioeconomic variables, the effect of family structure on educational attainment of children persists. Children in two-parent households were 40% (unadjusted odds ratio [UOR] = 1.40, p =.01) and 16% (adjusted odds ratio [AOR] = 1.16, p =.1) more likely to be in the right age for grade compared with children in one-parent households. The study calls for strengthening single-parent households to achieve better educational outcomes for the children. © The Author(s) 2019.

Author(s)

Benta A. Abuya

Year

2019

Countries

Kenya

Language

English

Research Method

Quantitative

Article Type

Peer-Reviewed Articles

Keywords

Primary education | Standards of attainment | Learning outcomes | Low attaining students | Parental involvement | Excel Import

Full Citation Style

Abuya, B. A. (2019). Family Structure and Child Educational Attainment in the Slums of Nairobi, Kenya. Strategic Research Journal. https://doi.org/10.1177/2158244019855849
Abuya, B. A., 2019. Family Structure and Child Educational Attainment in the Slums of Nairobi, Kenya. Strategic Research Journal. Available at: <https://doi.org/10.1177/2158244019855849>
Abuya, B. A.. "Family Structure and Child Educational Attainment in the Slums of Nairobi, Kenya." Strategic Research Journal (2019). https://doi.org/10.1177/2158244019855849
Abuya BA. Family Structure and Child Educational Attainment in the Slums of Nairobi, Kenya. Strategic Research Journal. 2019; https://doi.org/10.1177/2158244019855849

Research Team

Benta A. Abuya

Benta A. Abuya

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