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Journal of Modern Applied Statistical Methods : Impact Factor & More

eISSN: 1538-9472pISSN: 1538-9472

Aims and Scope of Journal of Modern Applied Statistical Methods

The Journal of Modern Applied Statistical Methods is a biannual peer-reviewed open access journal. It was established in 2002 by Shlomo Sawilowsky, and is currently published by the Wayne State University Library System in Detroit, MI. The Current Index to Statistics classifies it as one of over 160 core statistics journals. The journal originally appeared as a print and electronic journal through volume 8(1) in 2009, and subsequently as an electronic journal only. It publishes peer-reviewed work pertaining to new statistical tests and the comparison of existing statistical tests; bootstrap, Jackknife, and resampling methods; nonparametric, robust, permutation, exact, and approximate randomization methods; and statistical algorithms, pseudorandom number generators, and simulation techniques. The journal is indexed in the Elsevier Bibliographic Database, EMBASE, Compendex, Geobase, PsycINFO, ScienceDirect, and Scopus. It is also listed in the Encyclopedia of Measurement and Statistics and Cabells. Less

Key Metrics

CiteScore
0.8
SJR
Q3Statistics and Probability
SNIP
0.53
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Journal of Modern Applied Statistical Methods Journal Specifications

Indexed in the following public directories

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Overview
Publisher WAYNE STATE UNIV PRESS
Language English
Frequency Semi-annual
General Details
LanguageEnglish
FrequencySemi-annual
Publication Start Year2002
Publisher URLVisit website
Website URLVisit website
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Recently Published Papers in Journal of Modern Applied Statistical Methods

When Do Logistic Regression and Generalized Maximum Entropy Agree? Evidence from Simulation Studies
  • 7 Aug 2026
  • Journal of Modern Applied Statistical Methods
Capturing Change in a Rapidly Evolving World: A Composite Longitudinal Analysis Framework for Theorizing, Modeling, and Analyzing Change Using PLS-SEM
  • 31 Jul 2026
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A Novel Correction for the Multivariate Ljung-Box Test
  • 22 Jul 2026
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Testing for Size-Biased Sampling in Lifetime Data
  • 9 Jul 2026
  • Journal of Modern Applied Statistical Methods
Rank-Based Item-Level Transformation for Harmonizing Multi-Scale Likert Data: A Comparative Evaluation
  • 2 Jul 2026
  • Journal of Modern Applied Statistical Methods
Suitability of the Chosen Variables for Stratification in Large-Scale Surveys: An Exploration of the Indian Version of DHS
  • 19 May 2026
  • Journal of Modern Applied Statistical Methods
When Do Logistic Regression and Generalized Maximum Entropy Agree? Evidence from Simulation Studies
  • 7 Aug 2026
  • Journal of Modern Applied Statistical Methods
Capturing Change in a Rapidly Evolving World: A Composite Longitudinal Analysis Framework for Theorizing, Modeling, and Analyzing Change Using PLS-SEM
  • 31 Jul 2026
  • Journal of Modern Applied Statistical Methods
A Novel Correction for the Multivariate Ljung-Box Test
  • 22 Jul 2026
  • Journal of Modern Applied Statistical Methods
Testing for Size-Biased Sampling in Lifetime Data
  • 9 Jul 2026
  • Journal of Modern Applied Statistical Methods
Rank-Based Item-Level Transformation for Harmonizing Multi-Scale Likert Data: A Comparative Evaluation
  • 2 Jul 2026
  • Journal of Modern Applied Statistical Methods
Suitability of the Chosen Variables for Stratification in Large-Scale Surveys: An Exploration of the Indian Version of DHS
  • 19 May 2026
  • Journal of Modern Applied Statistical Methods

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