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Journals / İstatistikçiler Dergisi:İstatistik ve Aktüerya / 2016 / Cilt: 9 Sayı: 2

Estimation of sample size and power for general full factorial designs

Genel tam faktöriyel deney tasarımlarda örneklem büyüklüğü ve güç tahmini

Melike Kaya Bahçecitapar(Hacettepe Üniversitei)
Özge Karadağ(HACETTEPE ÜNİVERSİTESİ)
Serpil Aktaş(Hacettepe Üniversitei)
Pages
79–86
Publication Date
2016-12-25
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It was found out that the calculations were significantly affected by many factors in full factorial experimental designs, such as number of levels for each factor, number of replications, maximum difference between main effect means and standard deviation.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of this study is to calculate sample size and power for several varieties of general full factorial designs, in order to help researchers to avoid the waste of resources by collecting surplus data before designing experiments.
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Key Findings & Data:The aim of this study is to calculate sample size and power for several varieties of general full factorial designs, in order to help researchers to avoid the waste of resources by collecting surplus data before designing experiments.
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Conclusion & Impact:It was found out that the calculations were significantly affected by many factors in full factorial experimental designs, such as number of levels for each factor, number of replications, maximum difference between main effect means and standard deviation.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:tam faktöriyel tasarım · istatistiksel güç · örneklem büyüklüğü

Abstract

The aim of this study is to calculate sample size and power for several varieties of general full factorial designs, in order to help researchers to avoid the waste of resources by collecting surplus data before designing experiments. It was found out that the calculations were significantly affected by many factors in full factorial experimental designs, such as number of levels for each factor, number of replications, maximum difference between main effect means and standard deviation.

Özet

Bu çalışmanın amacı, farklı boyutlardaki çok sayıda genel tam faktöriyel tasarımlar için örneklem büyüklüğü ve güç hesaplamalarıni yaparak, deney tasarımını kurmadan önce gereğinden fazla veri toplamanın neden olduğu kaynak israfını önlemektir. Bu hesaplamaların faktörlerin düzey sayısı, analizde kullanılan modeldeki ana etkilerin ortalamaları ve standart sapma gibi birçok faktöre dayalı olduğu görülmüştür.

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Cite This Article

Bahçecitapar, M. K., Karadağ, Ö., Aktaş, S. (2016). Estimation of sample size and power for general full factorial designs. İstatistikçiler Dergisi:İstatistik ve Aktüerya, Cilt: 9 Sayı: 2, 79–86. https://ajindex.com/articles/1502751

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