A meta-analysis of gender gap in student achievement in African countries

Christine Ouma and Jiwon Nam

International Review of Public Administration, 2015, vol. 20, issue 1, 70-83

Abstract: We conducted a meta-analysis to examine gender differences in educational assessments in African countries. We analyzed the primary database of the Southern and Eastern Africa Consortium for Monitoring Educational Quality (SACMEQ) assessments. This study included a review of the relevant literature on meta-analysis techniques, and an overview of SACMEQ and gender issues in kindergarten (K)–12 in developing countries. The process of meta-analysis employed in this methodological study included searching, coding, calculation of effect sizes and their variances, weighting, confidence interval plots, Q test, funnel plots, and a discussion of results, implications, and future research. We found a small significant gender difference in mathematics in favor of boys and an insignificant gender difference in reading. Moreover, fertility rate was found to be an important predictor of gender gap in reading and math. Finally, we suggest a few implications for theoretical perspectives by connecting the key findings.

Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/12294659.2014.967372 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rrpaxx:v:20:y:2015:i:1:p:70-83

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RRPA20

DOI: 10.1080/12294659.2014.967372

Access Statistics for this article

International Review of Public Administration is currently edited by Ralph Brower

More articles in International Review of Public Administration from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().