Volume 36, Issue 258 (7-2026)
J Mazandaran Univ Med Sci 2026, 36(258): 200-206 |
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Shabankhani B. Theoretical Foundations and Classification of Variable Weighting Methods in Scientific Research. J Mazandaran Univ Med Sci 2026; 36 (258) :200-206
URL: http://jmums.mazums.ac.ir/article-1-22643-en.html
URL: http://jmums.mazums.ac.ir/article-1-22643-en.html
Abstract: (16 Views)
In many scientific studies, the assumption that all variables are equally important can lead to oversimplification and misinterpretation of results. Variable weighting is a systematic approach that reflects the true differences among influential factors in terms of theoretical importance, explanatory power, measurement quality, and analytical objectives. Objective methods derive weights from statistical indicators and are highly repeatable; however, they may not adequately capture causal relationships. Structural methods evaluate interactions among variables within an analytical framework and are particularly suitable for multivariable studies. Decision-based methods assign weights according to practical criteria, such as sensitivity or cost. Hybrid methods integrate multiple approaches to achieve a balance between theoretical accuracy, statistical robustness, and practical applicability. In medical research, variable weighting is essential for aligning statistical models with the inherent complexity of biological systems. Subjective methods rely on expert judgment and are particularly valuable when sufficient data are unavailable, although they may be susceptible to bias. This article describes the importance of variable weighting and demonstrates how ignoring differences in variable importance can compromise the analytical validity of research findings. It further discusses the philosophy and rationale underlying weighting approaches, including theoretical knowledge and expert judgment, data structure, causal models, decision-making objectives, and hybrid approaches. Weighting methods are subsequently classified into five main categories: subjective, objective, structural, decision-based, and hybrid methods. For each category, their applications, advantages, and limitations in medical and health research are reviewed. Finally, the article emphasizes that the careful and transparent selection of an appropriate weighting method is essential for enhancing the accuracy, interpretability, and practical applicability of research findings.
Keywords: Variable weighting, Multi-criteria decision-making, Composite indices, Research methodology
Type of Study: Review |
Subject:
Biostatistics
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