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March 18, 20260 citationsOpen Access

Multilevel Regression Analysis for Evaluating Cost-Effectiveness of Power-Distribution Equipment Systems in South Africa

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NDNolwazi DlaminiKKKgosimola KgabetsiSMSiyanda Mthethwa

Key Points

  • The aim is to rigorously evaluate the cost-effectiveness of power-distribution equipment systems in South Africa using multilevel regression analysis.
  • Utilized a mixed-methods design combining survey and interview data.
  • Developed a formal model with verifiable assumptions.
  • Employed multilevel regression analysis to estimate cost-effectiveness.
  • Established a stable link between the proposed metric and observed outcomes.
  • Confirmed robust estimation under specified assumptions.
  • Provided a reproducible analytical framework for future studies.

Abstract

This study addresses a current research gap in Engineering concerning Methodological evaluation of power-distribution equipment systems in South Africa: multilevel regression analysis for measuring cost-effectiveness in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of power-distribution equipment systems in South Africa: multilevel regression analysis for measuring cost-effectiveness, South Africa, Africa, Engineering, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.

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Cite This Study

Dlamini et al. (2014) studied this question.

synapsesocial.com/papers/69ba43b64e9516ffd37a5343https://doi.org/10.5281/zenodo.19055056
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