About This Journal

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, and quantitative or qualitative methodologists/evaluators.

Work appearing in Regular Articles, Brief Reports, and Emerging Scholars are externally peer reviewed, with input from the Editorial Board; in Statistical Software Applications and Review and JMASM Algorithms and Code are internally reviewed by the Editorial Board.

Three areas are appropriate for JMASM:

  1. Development or study of new statistical tests or procedures, or the comparison of existing statistical tests or procedures, using computer-intensive Monte Carlo, bootstrap, jackknife, or resampling methods
  2. Development or study of nonparametric, robust, permutation, exact, and approximate randomization methods
  3. Applications of computer programming, preferably in Fortran (all other programming environments are welcome), related to statistical algorithms, pseudo-random number generators, simulation techniques, and self-contained executable code to carry out new or interesting statistical methods.

Elegant derivations, as well as articles with no take-home message to practitioners, have low priority. Articles based on Monte Carlo (and other computer-intensive) methods designed to evaluate new or existing techniques or practices, particularly as they relate to novel applications of modern methods to everyday data analysis problems, have high priority.

Problems may arise from applied statistics and data analysis; experimental and non experimental research design; psychometry, testing, and measurement; and quantitative or qualitative evaluation. They should relate to the social and behavioral sciences, especially education and psychology. Applications from other traditions, such as actuarial statistics, biometrics or biostatistics, chemometrics, econometrics, environmetrics, jurimetrics, quality control, and sociometrics are welcome. Applied methods from other disciplines (e.g., astronomy, business, engineering, genetics, logic, nursing, marketing, medicine, oceanography, pharmacy, physics, political science) are acceptable if the demonstration holds promise for the social and behavioral sciences.

Manuscript disposition for most recent N=151 submissions, excluding manuscripts currently in review:

Decision N % Days (Mean) Days (Median)
Accept 33 21.9 85.2 91.8
Reject 118 78.1 40.5 58.5

Note: Accept includes Invited Articles. Reject includes manuscripts withdrawn by the Editor during the review process. As of 8/11/2016.

Top 20 Cited Articles as of 8/11/2016

# Author(s) Title Year
330 Zumbo, Gadermann, Zeisser Ordinal versions of coefficients alpha and theta for Likert rating scales 2007
112 Lee, Famoye, Olumolade Beta-Weibull distribution: some properties and applications to censored data 2007
93 Watkins Determining parallel analysis criteria 2005
82 Nahm & Rao The Q-sort method: assessing reliability and construct validity of questionnaire items at a pre-testing stage 2002
62 Good Extensions of the concept of exchangeability and their applications 2002
51 Keselman, Wilcox, Othman Trimming, Transforming Statistics, And Bootstrapping: Circumventing the Biasing Effects Of Heterescedasticity And Nonnormality 2002
49 Dayton Model comparisons using information measures 2003
46 Gagné & Dayton Best regression model using information criteria 2002
45 Tofallis Least squares percentage regression 2009
42 Sawilowsky You think you've got trivials? 2003
37 Berger & Christophi Randomization technique, allocation concealment, masking, and susceptibility of trials to selection bias 2003
36 Peng & Nichols Using multinomial logistic models to predict adolescent behavioral risk 2003
32 Kong, Lee, Sepanski On the properties of beta-gamma distribution 2007
32 Walker JMASM9: converting Kendall's tau for correlational or meta-analytic analyses 2003
29 Hancock Fortune cookies, measurement error, and experimental design 2003
28 Onwuegbuzie & Levin Without supporting statistical evidence, where would reported measures of substantive importance lead? To no good effect 2003
26 Berger & Lunneborg Parametric analyses in randomized clinical trials 2002
25 Fahoome Twenty nonparametric statistics and their large sample approximations 2002
25 Liu Ordinal regression analysis: Fitting the proportional odds model using Stata: SAS, SPSS 2003
23 Opdyke Fast permutation tests that maximize power under conventional Monte Carlo sampling for pairwise and multiple comparisons 2003

Note:Based on scholar.google.com. For most downloaded articles from this site, on the www.jmasm.com home page, select Most Popular Papers on the left panel.

Shlomo Sawilowsky

The Journal of Modern Applied Statistical Methods (JMASM) was established in 2000, and published its first issue in 2002. As of 12/23/2016, JMASM has published 968 articles. Its h=index is 22, g-index is 39, i-10 index is 70, number of citations is 3,087, and is cited 220.5 times per year since its inception. As of 12/23/2016, there were approximately 101,000 full article downloads over the past year.

The founder and editor of JMASM is Professor Shlomo Sawilowsky. He is the author of two books on statistical methods (Statistics via Monte Carlo Simulation with Fortran, 2002; and Real Data Analysis, 2007), and has published and presented over 460 book chapters, articles, presentations, and encyclopedia entries on social and behavioral science statistical methods, psychometrics and testing, quantitative program evaluation, and research and experimental design. His h-index is 23, g-index is 45, has approximately 2,600 citations, and has 800 citations in ProQuest Dissertations & Theses.He has obtained approximately US$14 Million in extramural grants to study educational and psychological processes.

Publication and Contact Information

The Journal of Modern Applied Statistical Methods is published biannually (May, November) in partnership by:

PO Box 48023
Oak Park, MI 48237


Wayne State University Library System
Purdy Library
Detroit, MI 48202