Isomorphism Check for $$2^{n}$$ Factorial Designs with Randomization Restrictions
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Theory and Practice"
DOI: 10.1007/s42519-019-0064-5
Abstract: Factorial designs with randomization restrictions are often used in industrial experiments when complete randomization of trials is impractical. In the statistics literature, the analysis, construction and isomorphism of factorial designs have been extensively investigated. Much… read more here.
Keywords: designs randomization; randomization; isomorphism check; factorial designs ... See more keywords
Sample size determination for examining interaction effects in factorial designs under variance heterogeneity.
Sign Up to like & getrecommendations! Published in 2018 at "Psychological methods"
DOI: 10.1037/met0000150
Abstract: Moderation analysis is a vital aspect of research in education, management, psychology, and related disciplines. Although several methodological artifacts have been identified and examined, heterogeneity of variance remains one of the unique and problematic factors… read more here.
Keywords: variance heterogeneity; sample size; factorial designs; heterogeneity ... See more keywords
Construction of optimal fractional factorial designs using invariant factor vectors
Sign Up to like & getrecommendations! Published in 2025 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2025.2505988
Abstract: Abstract Optimal designs play a crucial role in facilitating parameter estimation with minimal variance and without bias during statistical analysis when the model is predefined. In situations where prior information is lacking and there is… read more here.
Keywords: factorial designs; construction optimal; factor vectors; invariant factor ... See more keywords
Partial replication of small two-level factorial designs
Sign Up to like & getrecommendations! Published in 2017 at "Quality Engineering"
DOI: 10.1080/08982112.2016.1254797
Abstract: ABSTRACT Replicating runs in designed experiments is good practice. The most important reason to replicate runs is to allow for a model-independent estimate of the error variance. Without the pure error degrees of freedom provided… read more here.
Keywords: two level; factorial designs; replication small; small two ... See more keywords
Understanding Factorial Designs, Main Effects, and Interaction Effects: Simply Explained with a Worked Example
Sign Up to like & getrecommendations! Published in 2024 at "Indian Journal of Psychological Medicine"
DOI: 10.1177/02537176241237066
Abstract: 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). This test yields three… read more here.
Keywords: effects interaction; factorial designs; main effects; interaction effects ... See more keywords