When a statistical test is repeatedly applied to rows of a data matrix, correlations among data rows will give rise to correlations among corresponding test statistics. We investigate the relationship between test-statistic correlation and data-row correlation and discuss its implications.
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http://dx.doi.org/10.1016/j.spl.2020.108903 | DOI Listing |
J Appl Stat
July 2024
Department of Biostatistics and Data Science, School of Public Health, Houston, TX, USA.
The principle of independence is a fundamental yet often disregarded assumption in statistical inference. It is observed that the implications of correlations, if not considered, can lead to a conservative estimation of Type I error in the presence of positive linear correlations when utilizing the Kolmogorov-Smirnov (KS) test. Conversely, negative linear correlations may engender a liberal estimation of Type I error.
View Article and Find Full Text PDFJ Dent Educ
December 2024
College of Dental Medicine, Western University of Health Sciences, Pomona, USA.
Purpose/objectives: Emotional intelligence (EI) supports clinical and social competencies of a practicing dentist. The Bar-On EI model consists of inter-related competencies in five domains: Self-Perception, Self-Expression, Interpersonal, Decision making, and Stress management. This study investigated the relationship between dental students' EI measured by Emotional Quotient Inventory 2.
View Article and Find Full Text PDFBr J Math Stat Psychol
December 2024
Athens University of Economics and Business, Athens, Greece.
This paper introduces the generalized Hausman test as a novel method for detecting the non-normality of the latent variable distribution of the unidimensional latent trait model for binary data. The test utilizes the pairwise maximum likelihood estimator for the parameters of the latent trait model, which assumes normality of the latent variable, and the maximum likelihood estimator obtained under a semi-non-parametric framework, allowing for a more flexible distribution of the latent variable. The performance of the generalized Hausman test is evaluated through a simulation study and compared with other test statistics available in the literature for testing latent variable distribution fit and an overall goodness-of-fit test statistic.
View Article and Find Full Text PDFStat (Int Stat Inst)
June 2024
Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, U.S.A.
Identifying how dependence relationships vary across different conditions plays a significant role in many scientific investigations. For example, it is important for the comparison of biological systems to see if relationships between genomic features differ between cases and controls. In this paper, we seek to evaluate whether relationships between two sets of variables are different or not across two conditions.
View Article and Find Full Text PDFBMJ Open
October 2024
Oxford Vaccine Group, University of Oxford, Oxford, UK.
Objectives: To describe the development, validation and reliability of the Oxford Vaccine Hesitancy Scale (OVHS), a new instrument to assess vaccine hesitancy in the general population.
Design: Cross-sectional validation study.
Setting: Internet-based study with participants in the UK and USA.
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