Do family characteristics predict student absenteeism?

Abstract

This study sought to examine the relationship between family characteristics and Junior High School students’ absenteeism in selected schools in the Asante Akyem Central Municipality of Ghana. A total of 408 students were included in this study. This study accentuates the instrumental role that family ties, parents’ economic status, mothers’ income and parents–teachers’ association meeting attendance play in influencing students’ absenteeism. For example, the study found that mothers’ level of income negatively predicted the number of times students absent themselves from school in a term. As mothers’ income increases, the number of times students absent themselves from school decreases. Understanding the significant role family characteristics play in student’s school attendance is vital for promoting students’ attendance and school engagement. Implications for policy and practices are discussed. © 2023 Taylor & Francis Group, LLC.

Author(s)

Anim, Charles, Baidoo-Anu, David, Gyamerah, Kenneth, Agyemang-Duah, Williams

Year

2024

Countries

Ghana

Language

English

Research Method

Quantitative

Article Type

Peer-Reviewed Articles

Keywords

Secondary education | Access to education | Excel Import

Full Citation Style

Anim, Charles, Baidoo-Anu, David, Gyamerah, Kenneth, & Agyemang-Duah, Williams (2024). Do family characteristics predict student absenteeism?. Strategic Research Journal. https://doi.org/10.1080/1045988X.2023.2236042
Anim, Charles, Baidoo-Anu, David, Gyamerah, Kenneth and Agyemang-Duah, Williams, 2024. Do family characteristics predict student absenteeism?. Strategic Research Journal. Available at: <https://doi.org/10.1080/1045988X.2023.2236042>
Anim, Charles, Baidoo-Anu, David, Gyamerah, Kenneth, and Agyemang-Duah, Williams. "Do family characteristics predict student absenteeism?." Strategic Research Journal (2024). https://doi.org/10.1080/1045988X.2023.2236042
Charles A, David B, Kenneth G, Williams A. Do family characteristics predict student absenteeism?. Strategic Research Journal. 2024; https://doi.org/10.1080/1045988X.2023.2236042

Research Team

Anim, Charles

Anim, Charles

Baidoo-Anu, David

Baidoo-Anu, David

Gyamerah, Kenneth

Gyamerah, Kenneth

Agyemang-Duah, Williams

Agyemang-Duah, Williams

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