About the Journal

The Journal of Modern Applied Statistical Methods (e-ISSN 2950-4600 & ISSN 1538-9472)   is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.

Publisher Change Notice: As of January 2025, the journal Journal of Modern Applied Statistical Methods has transitioned its publishing operations from Netherlands Press to Scilight Press Pty Ltd. 


Articles

Capturing Change in a Rapidly Evolving World: A Composite Longitudinal Analysis Framework for Theorizing, Modeling, and Analyzing Change Using PLS-SEM

Saurabh Gupta (Department of Information Systems and Security, Kennesaw State University, Kennesaw, GA 30144, United States)
Tridib Bandyopadhyay (Department of Information Systems and Security, Kennesaw State University, Kennesaw, GA 30144, United States)
Reza Vaezi (Department of Information Systems and Security, Kennesaw State University, Kennesaw, GA 30144, United States)

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A Novel Correction for the Multivariate Ljung-Box Test

Minhao Huang (Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA 92866, United States)
Cyril Rakovski (Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA 92866, United States)
Sidy Danioko (Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA 92866, United States)

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Testing for Size-Biased Sampling in Lifetime Data

David E. Giles (Department of Economics, University of Victoria, Victoria, BC V8W 2Y2, Canada)

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