Estimation of sample size and power for general full factorial designs
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.
Keywords
References
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Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Publication Date
December 25, 2016
Submission Date
August 15, 2016
Acceptance Date
December 16, 2016
Published in Issue
Year 2016 Volume: 9 Number: 2