About this journal

The journal is the result of the joint effort of a team of Associate Editors and seeks four kinds of contributions:

Regular contributions are research articles that advance or evaluate current quantitative methods. They are judged by their accessibility to a wide audience, potential to change the field, and innovativeness. Regardless of content, they are to include a numerical analysis to showcase the relevance of their contribution.

Software contributions provide an outlet for researchers who implement methods in software to disseminate their work and reach a wide audience. Contributions may consist of the dissemination of a new software program or package, or a major addition to existing software to cover a new area. They are judged by their potential to change the field, breadth, and accessibility.

Tutorials are articles suitable to be employed for teaching. Reviewsare articles that provide a summary of the state of the art of classic or new methods. They are judged by their potential to change the field, insightfulness, and breadth.

Quantitative applications provide an outlet for research in any area of the behavioral sciences to publish their work, unconstrained by the quantitative nature of its contribution. It seeks articles that otherwise may be difficult to publish in their substantive fields because the contribution is “quantitative” or too technical in nature. These articles showcase how the proper method can provide novel and potential far-reaching insights into a substantive problem. They are reviewed both by experts in the content area of the submission and by quantitative experts. They are judged by their potential to provide an exemplar of how the information provided by advanced methods can inform the content area and their ability to reach a wide audience.

In addition to these four areas, Multivariate Behavioral Research's goal is to publish a special topic issue once a year. This issue will cover a topic of interest to the journal's readership. The editorial team welcomes suggestions for important topics for special issues that have the potential for advancing our understanding of important methodological problems. The journal also publishes articles based on presentations of winners of the Society's Sells award recognizing an individual who has made distinguished lifetime contributions in our field, and the Early Career award recognizing early career contributions.

The publication of quantitative applications is a core mission of Multivariate Behavioral Research. Reflecting the submissions we have received, the journal has historically published few applications, tutorials, and reviews. We actively seek to publish more articles in these categories, as well as in the new category of software contributions.

The journal makes ample use of supplementary materials. Authors are encouraged to include their code, and whenever possible, their data, as supplementary materials so that their results can be better evaluated and understood by readers, as well as replicated.

The Society's Tanaka award recognizes the best article published each year in the journal. When preparing their submissions, authors are strongly advised to check the Tanaka, Sells, and Early Career articles as examples of successful publications in the journal, for guidance on the style and themes of interest to our readership.

As we aim to expand the scope of the journal, prospective authors are encouraged to contact the Editor-in-Chief ahead of submission for feedback about the journal's interest in a particular topic that may seem outside the scope of the journal. Similarly, authors interested in submitting a quantitative application or a software contribution may wish to contact the respective Section Editor ahead of their submission for feedback.

The field of quantitative methods in the behavioral sciences is thriving with new and exciting developments and opportunities, and the editorial team of Multivariate Behavioral Research is excited to actively contributing to its development.

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Peer Review Policy: All review papers in this journal have undergone editorial screening and peer review.

Publication office: Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106

EDITOR-IN-CHIEF
Alberto Maydeu-Olivares, University of South Carolina, US

ASSOCIATE EDITORS
Sacha Epskamp, National University of Singapore, Singapore
Emilio Ferrer, University of California, Davis, US
Lesa Hoffman, University of Iowa, US
Jolynn Pek, Ohio State University, US
Douglas Steinley, University of Missouri, US
Felix Thoemmes, Cornell University, US
Ji-Seung Yang, University of Maryland, US
Zhiyong Zhang, University of Notre Dame, US

ASSOCIATE EDITOR FOR SPECIAL ISSUES
Sarah Depaoli, University of California, Merced, US

ASSOCIATE EDITOR FOR SOFTWARE CONTRIBUTIONS
Daniel McNeish, Arizona State University, US

ASSOCIATE EDITOR FOR TUTORIALS, AND REVIEWS
Stephen G. West, Arizona State University, US

ASSOCIATE EDITOR FOR QUANTITATIVE APPLICATIONS
Adriene Beltz, University of Michigan, US

2024 SMEP EDITORIAL ADVISORY BOARD
Michael Neale, (Chair) Virginia Commonwealth University, US
Sarah Depaoli, University of California, Merced, US
Lesa Hoffman, University of Iowa, US
Jolynn Pek, Ohio State University, US

EDITORIAL BOARD
Dan Bauer, University of North Carolina, US
Peter M. Bentler, University of California, Los Angeles, US
Shelley Blozis, University of California, Davis, US
Steven Boker, University of Virginia, US
Kenneth A. Bollen, University of North Carolina, US
Li Cai, University of California, Los Angeles, US
Heining Cham, Fordham University, US
Robert Cudeck, Ohio State University, US
Patrick Curran, University of North Carolina, US
Conor Dolan, University of Amsterdam, Netherlands
Fritz Drasgow, University of Illinois, US
Craig Enders, University of California, Los Angeles, US
Kevin Grimm, Arizona State University, US
Greg Hancock, University of Maryland, US
Nidhi Kohli, University of Minnesota, US
Walter Leite, University of Florida, US
Oliver Luedtke, University of Kiel, Germany
Albert Maydeu-Olivares, University of South Carolina, US
Jorge Mendoza, University of Oklahoma, US
Irini Moustaki, The London School of Economics and Political Science, UK
Zita Oravecz, The Pennsylvania State University, US
Kris Preacher, Vanderbilt University, US
Nilam Ram, Stanford University, US
Tenko Raykov, Michigan State University, US
Charles Reichardt, University of Denver, US
William Revelle, Northwestern University, US
Rens van de Schoot, Utrecht University, Netherlands
Pat Shrout, New York University, US
Sonya Sterba, Vanderbilt University, US
Matthew Valente, University of South Florida, US
Lijuan Wang, University of Notre Dame, US
Ji Seung Yang, University of Maryland, US
Ke-Hai Yuan, Notre Dame University, US
Guangjian Zhang, University of Notre Dame, US

The Society of Multivariate Experimental Psychology (SMEP) is a not-for-profit organization for researchers interested in multivariate statistical approaches in psychology.

SMEP members gain free online access to the society journal, Multivariate Behavioral Research.

For submission information read the Instruction for Authors. 

To register as a peer reviewer for Multivariate Behavioral Research, visit the submission site to create an account. For reviewer training opportunities, discover our Peer Reviewer Training Network.