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About JMASM

The Journal of Modern Applied Statistical Methods 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, quantitative or qualitative evaluators, and methodologists.

See About JMASM to learn more about the Journal.

Current Issue: Volume 13, Issue 1 (2014)

Front Matter

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Front Matter
JMASM Editors

Regular Articles

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Relative Importance of Predictors in Multilevel Modeling
Yan Liu, Bruno D. Zumbo, and Amery D. Wu

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On the Gamma-Logistic Distribution
Ayman Alzaatreh, Indranil Ghosh, and Hassan Said

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Statistical Power of Alternative Structural Models for Comparative Effectiveness Research: Advantages of Modeling Unreliability
Emil N. Coman, Eugen Iordache, Lisa Dierker, Judith Fifield, Jean J. Schensul, Suzanne Suggs, and Russell Barbour

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Estimation and Testing in Type-II Generalized Half Logistic Distribution
R R. L. Kantam, V Ramakrishna, and M S. Ravikumar

Algorithms and Code

End Matter

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End Matter
JMASM Editors

Full Issue

JMASM 13(1), May 2014

Editors

Senior Editor
Shlomo S. Sawilowsky
Editor
Dr. Jack Sawilowsky
Associate Editor Emeritus
Harvey Keselman
Assistant Editor Emeritus
Alan Klockars
Associate Editor
Bruno D. Zumbo
Assistant Editors
Vance W. Berger
Todd C. Headrick
Editorial Assistance
Dr. Julie Smith