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All Journal JTAM (Jurnal Teori dan Aplikasi Matematika)
Adji Achmad Rinaldo Fernandes
Department of Statistics, Brawijaya University
Mathematics

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A Bayesian Structural Causal Modeling Framework for Analyzing Childhood Stunting Factors Celia Sianipar; Adji Achmad Rinaldo Fernandes; Solimun Solimun; Septi Nafisa Ulluya Zahra; Fachira Haneinanda Junianto
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i2.35966

Abstract

This quantitative study investigates the causal determinants of childhood stunting using a structured questionnaire as the primary research instrument. The analysis applies Bayesian path modeling to examine how Economic Level influences Child Nutritional Status both directly and indirectly through Children’s Diet. Bayesian estimation is used to obtain stable and reliable parameter values, with convergence checks ensuring model adequacy. The overly technical explanations of MCMC procedures and specific sampling algorithms from the original version are condensed to maintain clarity in an abstract. The results show that Children’s Diet plays a strong mediating role, indicating that economic improvements contribute more substantially to better nutritional outcomes when dietary practices are strengthened. These findings highlight clear policy implications, particularly the need to integrate dietary interventions with economic support programs. Overall, the study demonstrates that Bayesian path analysis provides a rigorous yet flexible approach for evaluating interconnected determinants of child nutrition and contributes evidence-based insights for stunting reduction strategies.
Co-Authors Celia Sianipar Fachira Haneinanda Junianto Septi Nafisa Ulluya Zahra Solimun Solimun