A Multilevel Analysis of Out‐of‐School Children by Gender and Educational Level DOI Open Access
Heng Zhang, Shahla Akram, Mehboob Ul Hassan

et al.

Children & Society, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 15, 2024

ABSTRACT Children are the builders of future, and their education is crucial for societal development. This study aims to identify analyse barriers that prevent marginalised communities from participating in educational activities explore strategies overcoming these obstacles. Focused on Pakistan, which has second highest number out‐of‐school (OOS) children globally according UNICEF, this research utilises data Multiple Indicator Cluster Survey (MICS) Wave 6. Employing logistic regression generalised structural equation modelling (GSEM), we investigate impact foundational skills, child disabilities, socioeconomic factors regional differences school attendance. The particularly examines role financial assistance, including tuition fees social transfers, addressing issue children. findings highlight need inclusive policies, adequate funding enhanced skills improve attendance academic outcomes.

Language: Английский

Assessing Inequality of Opportunities for Child Well-being in Pakistan DOI
Shahla Akram, Zahid Pervaiz

Child Indicators Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

Language: Английский

Citations

2
Determinants of child labor in Tanzania: a BGEE model analysis of the ILFS 2020/2021 DOI Creative Commons

Hebron A. Mtafya,

G. Srinivasa Rao,

Jairos Kahuru Shinzeh

et al.

Cogent Social Sciences, Journal Year: 2025, Volume and Issue: 11(1)

Published: April 18, 2025

Language: Английский

Citations

0
A Multilevel Analysis of Out‐of‐School Children by Gender and Educational Level DOI Open Access
Heng Zhang, Shahla Akram, Mehboob Ul Hassan

et al.

Children & Society, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 15, 2024

ABSTRACT Children are the builders of future, and their education is crucial for societal development. This study aims to identify analyse barriers that prevent marginalised communities from participating in educational activities explore strategies overcoming these obstacles. Focused on Pakistan, which has second highest number out‐of‐school (OOS) children globally according UNICEF, this research utilises data Multiple Indicator Cluster Survey (MICS) Wave 6. Employing logistic regression generalised structural equation modelling (GSEM), we investigate impact foundational skills, child disabilities, socioeconomic factors regional differences school attendance. The particularly examines role financial assistance, including tuition fees social transfers, addressing issue children. findings highlight need inclusive policies, adequate funding enhanced skills improve attendance academic outcomes.

Language: Английский

Citations

1