Hipotez Testi, Güven Aralığı, Etki Büyüklüğü ve Merkezi Olmayan Olasılık Dağılımları Üzerine

Öz

Araştırmalar, yokluk hipotezi anlamlılık testinin (YHAT), çoğunlukla yanlış anlaşıldığını ve yanlış kullanıldığını göstermektedir. Bu yanlışlıklar üç ana başlıkta toplanabilir: 1) YHAT’ın, yokluk hipotezinin doğru olma ihtimali olarak ele alınması, 2) YHAT’ın, etki büyüklüğü hakkında bilgi verdiğinin sanılması ve 3) YHAT’ın sadece ortalamalar üzerinden bir hesaplama olduğunun gözden kaçması. Bu çalışmada, söz konusu yanlışlıklar üzerinde durularak güven aralığı, etki büyüklüğü ve merkezi olmayan olasılık dağılımlarının kullanılmasının, bu yanlışlıkların giderilmesine olan katkıları ele alınmıştır

Anahtar Kelimeler

• Hipotez testi, güven aralığı, etki büyüklüğü, merkezi olmayan olasılık dağılımları

On Hypothesis Testing, Confidence Interval, Effect Size and Noncentral Probability Distributions

Abstract

The research provides evidence that null hypothesis significance testing (NHST) is frequently misunderstood and, consequently, misused by researchers. Sources of these misunderstandings can be stated as: 1) Interpreting NHST as a probability on accuracy of null hypothesis, 2) regarding NHST as an indicator of effect size, and 3) overlooking the fact that NHST is just an analysis on means. This study investigates these misuses and discusses confidence interval, effect size and noncentral probability distributions through their possible contributions on resolving the misuses.

Keywords

• Hypothesis testing,confidence interval,effect size,noncentral probability distributions

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