Meşhur P Değeri ve Etki Büyüklüğü
Synopsis
İstatistiksel hipotez testlerinin temelini oluşturan p değeri, sıfır hipotezinin doğruluğu varsayımı altında gözlenen farkın şans eseri ortaya çıkma olasılığını gösterir. Ancak p değeri tek başına klinik anlamlılığı kanıtlamak için yeterli olmadığından, araştırmalarda değişkenler arasındaki ilişkinin gücünü ölçen etki büyüklüğü değerlerinin de sunulması kritik önem taşır. Örneklem büyüklüğü arttıkça küçük farkların yanıltıcı şekilde anlamlı çıkabildiği durumlarda etki büyüklüğü, bulguların gerçek dünyadaki pratik karşılığını belirleyerek daha güvenilir bir bilimsel yorum imkanı sağlar.
The p-value, which forms the basis of statistical hypothesis testing, represents the probability of an observed difference occurring by chance under the assumption that the null hypothesis is true. Since the p-value alone is insufficient to prove clinical significance, presenting effect size values that measure the strength of the relationship between variables is of critical importance in research. In cases where small differences can appear misleadingly significant as sample size increases, effect size provides a more reliable scientific interpretation by determining the practical real-world implications of the findings.
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