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.
The Journal of Modern Applied Statistical Methods (JMASM) was established in 2000, and published its first issue in 2002.
It is with a heavy heart that we share the news that founding editor Rabbi Dr. Shlomo Sawilowsky passed away on Monday, January 11, 2021. Rabbi Dr. Sawilowsky was an accomplished Torah scholar and member of the Detroit Chabad community, and a Distinguished Faculty Fellow and Professor of Educational Evaluation and Research in the Wayne State University College of Education, which he joined in 1987.
Sawilowsky earned a bachelor’s in religious studies with a major in Talmudical Studies and a minor in religious education from the Rabbinical College of America in Morristown, New Jersey. He pursued graduate studies at the University of South Florida, where he earned a master’s in guidance and counseling education and his Doctor of Philosophy in curriculum and instruction with specialization in educational statistics, measurement, research, and evaluation.
During Sawilowsky’s tenure, he provided outstanding leadership, scholarship and community service. He rose through the ranks as a faculty member and held positions as program coordinator for educational evaluation and research and assistant dean of the Division of Administrative and Organizational Studies. He is the author of numerous books (including 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. Sawilowsky was founding editor of two journals — the Journal of Modern Applied Statistical Methods and Yalkut Pirchei Shoshanim (formerly Pirchei Shoshanim Rabbinical Journal) — as well as a member of several editorial boards. He received many awards, including the WSU President’s Award for Excellence in Teaching, Career Development Award, Faculty Mentor Award, and Outstanding Graduate Mentor Award.
A positive force in the college and university, Sawilowsky provided outstanding guidance and support to students, colleagues, and the Wayne State University campus community. He was greatly appreciated and respected, and his passing is a great loss to the university, to the Chabad community, and to the scholarly disciplines of applied statistics and educational evaluation.
Assuming the role of Editor is Dr. Bruno D. Zumbo, Distinguished Professor, Measurement, Evaluation, & Research Methodology, at the University of British Columbia. Dr. Zumbo has been involved in the journal since before its inception, helping Dr. Sawilowsky to conceive, design, and launch the journal, and serving on the Editorial Board ever since. In collaboration with colleagues and the Library System, Dr. Zumbo carries on the editorial work necessary to continue publication of JMASM, in honor of his friend and colleague Dr. Sawilowsky.
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