Results 11 to 20 of about 89,148 (249)

Simulation-Based Power Analysis for Factorial Analysis of Variance Designs

Advances in Methods and Practices in Psychological Science, 2021
Researchers often rely on analysis of variance (ANOVA) when they report results of experiments. To ensure that a study is adequately powered to yield informative results with an ANOVA, researchers can perform an a priori power analysis.
Daniël Lakens, Aaron R. Caldwell
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Raw Data Visualization for Common Factorial Designs Using SPSS: A Syntax Collection and Tutorial

Frontiers in Psychology, 2022
Transparency in data visualization is an essential ingredient for scientific communication. The traditional approach of visualizing continuous quantitative data solely in the form of summary statistics (i.e., measures of central tendency and dispersion ...
Florian Loffing, Florian Loffing
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Statistical factorial designs for optimum production of thermostable α-amylase by the degradative bacterium Parageobacillus thermoglucosidasius Pharon1 isolated from Sinai, Egypt

Journal of Genetic Engineering and Biotechnology, 2021
Background This study aimed to isolate potent thermophilic and amylolytic bacteria from a hot spring of Pharaoh’s bath, Sinai, Egypt, and screen its degradative activity.
Ali M. Saeed, Einas H. El-Shatoury, Hayam A. E. Sayed   +2 more
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The Abelian group structure of full factorial designs [PDF]

Frontiers in Psychology
This study demonstrates formal connections between Abelian group theory and factorial experimental designs. I begin by showing that full-factorial designs are isomorphic to elementary p-groups.
Nicholas A. Altieri
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The comparison of nonparametric statistical tests for interaction effects in factorial design [PDF]

Decision Science Letters, 2019
Correct application of the classical factorial F-test depends on normality and homogeneity of variance assumptions. If these assumptions are violated the type I error rate will be inflated and power of the test will be decreased.
Ampai Thongteeraparp
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Two-level non-regular fractional factorial designs for public health studies [PDF]

BMC Medical Research Methodology
This paper demonstrates the advantages of two-level non-regular fractional factorial designs for efficiently identifying influential factors in public health studies.
Ming-Chung Chang, Weng Kee Wong
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Understanding Factorial Designs, Main Effects, and Interaction Effects: Simply Explained with a Worked Example

Indian Journal of Psychological Medicine
A factorial design examines the effects of two independent variables on a single, continuous dependent variable. The statistical test employed to analyze the data is a two-way analysis of variance (ANOVA).
Chittaranjan Andrade
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Statistical modeling and optimization of ultrasound-assisted biodiesel production using various experimental designs

Zaštita Materijala, 2019
The present study compares the performances of the regression models developed by the response surface methodology combined with the full factorial, Box-Behnken or face central composite designs applied for the ultrasound-assisted KOH-catalyzed ...
Vlada B. Veljković, Dragana B. Radosavljević, Ivan J. Stojković   +2 more
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Reduce or not reduce: a practical guide to calculate sample size for various experimental design in studies involving animals [PDF]

Frontiers in Pharmacology
The ethical imperative to reduce the use of animals in scientific experimentation has become increasingly prominent, driven by societal expectations, regulatory frameworks, and concerns regarding the reproducibility of preclinical research.
Jean Xavier Mazoit, Jean Xavier Mazoit, Patrick Gonin, Patrick Gonin   +3 more
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GFD: An R Package for the Analysis of General Factorial Designs

Journal of Statistical Software, 2017
Factorial designs are widely used tools for modeling statistical experiments in all kinds of disciplines, e.g., biology, psychology, econometrics and medicine. For testing null hypotheses in this framework, ANOVA methods are widely used.
Sarah Friedrich, Frank Konietschke, Markus Pauly   +2 more
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