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:
- 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
- Development or study of nonparametric, robust, permutation, exact, and approximate randomization methods
- 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)|
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
|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.
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
Detroit, MI 48202