Methodological Evaluation of Secondary School Systems' Efficiency Gains in Kenya Using Multilevel Regression Analysis

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Auteurs principaux: Kibaki, Oginga, Kamau, Moses
Format: Recurso digital
Langue:anglais
Publié: Zenodo 2010
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author Kibaki, Oginga
Kamau, Moses
author_facet Kibaki, Oginga
Kamau, Moses
contents <p>The effectiveness of secondary school systems in Kenya has been a subject of interest for policymakers aiming to improve agricultural productivity and rural development. We employed multilevel regression analysis to assess the impact of secondary school systems on agricultural productivity. The model includes fixed effects for schools and random effects for students within schools. The multilevel regression analysis revealed that a 1% increase in student enrollment at secondary schools was associated with a 0.8% increase in maize yields, indicating significant gains in agricultural efficiency. Multilevel regression analysis provided insights into the educational system's impact on agriculture, highlighting specific gains from improved school attendance. Policymakers should prioritise investment in secondary schools to further enhance agricultural productivity and rural development outcomes. secondary schools, multilevel regression, agricultural efficiency, Kenya The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18906159
institution Zenodo
language eng
publishDate 2010
publisher Zenodo
record_format zenodo
spellingShingle Methodological Evaluation of Secondary School Systems' Efficiency Gains in Kenya Using Multilevel Regression Analysis
Kibaki, Oginga
Kamau, Moses
African geography
multilevel modelling
efficiency analysis
regression techniques
educational policy
pedagogical methods
hierarchical structures
<p>The effectiveness of secondary school systems in Kenya has been a subject of interest for policymakers aiming to improve agricultural productivity and rural development. We employed multilevel regression analysis to assess the impact of secondary school systems on agricultural productivity. The model includes fixed effects for schools and random effects for students within schools. The multilevel regression analysis revealed that a 1% increase in student enrollment at secondary schools was associated with a 0.8% increase in maize yields, indicating significant gains in agricultural efficiency. Multilevel regression analysis provided insights into the educational system's impact on agriculture, highlighting specific gains from improved school attendance. Policymakers should prioritise investment in secondary schools to further enhance agricultural productivity and rural development outcomes. secondary schools, multilevel regression, agricultural efficiency, Kenya The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.</p>
title Methodological Evaluation of Secondary School Systems' Efficiency Gains in Kenya Using Multilevel Regression Analysis
topic African geography
multilevel modelling
efficiency analysis
regression techniques
educational policy
pedagogical methods
hierarchical structures
url https://doi.org/10.5281/zenodo.18906159