🔬Effect size and heterogeneity

Meta-analysis evaluates not only the average effect, but also the variation between studies, because the same direction of the result does not mean the same strength and the same conditions for its manifestation.

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📖3 min read📊Level 6🗺️3 subtopics📅April 16, 2026

Author: Бессмертный А.П.

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Standardized Effect Measures
Effect sizes are needed to compare studies with each other because the p-value alone does not indicate whether the difference found is significant in magnitude at all.
Random effects and subgroup analysis
When studies differ significantly, a random-effects model and careful subgroup analysis help to understand not only the overall outcome, but also where exactly it varies.
Sources of heterogeneity between studies
Variation in results between studies can arise from different samples, designs, instruments, and contexts, so averaging indiscriminately often obscures important differences.

# Размер эффекта и гетерогенность Мета-анализ оценивает не только средний эффект, но и разброс между исследованиями, потому что одинаковое направление результата ещё не означает одинаковую силу и одинаковые условия его проявления. Эта тема раскрывает узел "Методология мета-анализа" и нужна для того, чтобы карта не заканчивалась общим названием без внутренней структуры.

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What is Effect size and heterogeneity?Effect size and heterogeneity: lecture Effect size and heterogeneity: overview

🔬Effect size and heterogeneity

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