How to Address Non-normality: A Taxonomy of Approaches, Reviewed, and Illustrated [PDF]
Frontiers in Psychology, 2018 The linear model often serves as a starting point for applying statistics in psychology. Often, formal training beyond the linear model is limited, creating a potential pedagogical gap because of the pervasiveness of data non-normality.
Jolynn Pek +3 more
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The Effect of Latent and Error Non-Normality on Measures of Fit in Structural Equation Modeling. [PDF]
Educ Psychol Meas, 2022 Jobst LJ, Auerswald M, Moshagen M.
europepmc +2 more sources
Performance of Coefficient Alpha and Its Alternatives: Effects of Different Types of Non-Normality. [PDF]
Educ Psychol Meas, 2023 Xiao L, Hau KT.
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On the Conditional Value at Risk Based on the Laplace Distribution with Application in GARCH Model
Mathematics, 2022 In this article, the Laplace distribution is employed in lieu of the well-known normal distribution for finding better scalar values of risk. Explicit formulas for value-at-risk (VaR) and conditional value-at-risk (CVaR) are studied and used to manage ...
Malik Zaka Ullah +3 more
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Explicit non-normal modal logic [PDF]
Journal of Logic and Computation, 2021 Abstract Faroldi argues that deontic modals are hyperintensional and thus traditional modal logic cannot provide an appropriate formalization of deontic situations. To overcome this issue, we introduce novel justification logics as hyperintensional analogues to non-normal modal logics. We establish soundness and completeness with respect
Rohani, Atefeh, Studer, Thomas
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Genotype Selection for Grain Yield of Sorghum through Generalized Linear Mixed Model
Agronomy, 2023 The classical model only provides a correct analysis if all the effects are fixed. For experiments that include fixed and random effects, the general linear mixed model is appropriate for handling the non-normal distributed response variables. The aim of
Mulugeta Tesfa +4 more
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One-Way and Two-Way ANOVA: Inferences About a Robust, Heteroscedastic Measure of Effect Size
Methodology, 2022 Consider a one-way or two-way ANOVA design. Typically, groups are compared based on some measure of location. The paper suggests alternative methods where measures of location are replaced by a robust measure of effect size that is based in part on a ...
Rand Wilcox
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Managing the Assumption of Normality within the General Linear Model with Small Samples: Guidelines for Researchers Regarding If, When and How. [PDF]
Tutorials in Quantitative Methods for Psychology, 2023 Academic textbooks, statistical literature, and publication guidelines provide conflicting, ambiguous and often incomplete answers to the question of how researchers should handle the normality assumption for classical general linear model tests when ...
Zygmont, Conrad Stanisław
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A New Robust Multivariate EWMA Dispersion Control Chart for Individual Observations
Mathematics, 2021 A multivariate control chart is proposed to detect changes in the process dispersion of multiple correlated quality characteristics. We focus on individual observations, where we monitor the data vector-by-vector rather than in (rational) subgroups.
Jimoh Olawale Ajadi +2 more
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Non-Normal Market Losses and Spatial Dependence Using Uncertainty Indices
Mathematics, 2022 We analyse spatial dependence between the risks of stock markets. An alternative definition of neighbour is used and is based on a proposed exogenous criterion obtained with a dynamic Google Trends Uncertainty Index (GTUI) designed specifically for this ...
Catalina Bolancé +2 more
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