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Psychology | Psychometrika โ€“ incl. option to publish open access (Editorial Board)

Psychometrika

Psychometrika

Editor-in-Chief: Irini Moustaki

ISSN: 0033-3123 (print version)
ISSN: 1860-0980 (electronic version)

Journal no. 11336

Editorial Board

Irini Moustaki, Executive Editor

Section Editors

Application Reviews and Case Studies

Alberto Maydeu-Olivares

amaydeu@ub.edu

http://www.ub.es/personal/amaydeu/amaydeuen.html

Theory and Methods

Book Review Editor

Jee-Seon Kim

reviews@psychometrika.org

http://www.education.wisc.edu/edpsych/default.aspx?content=kim.html

Associate Editors

Carolyn J. Anderson

Peter M. Bentler

Ulf Bockenholt

Paul de Boeck

Sy-Miin Chow

Bob Cudeck

Alina A. von Davier

Patrick Groenen

Heungsun Hwang

Edward Hak-sing Ip

Matthew Johnson

Yutaka Kano

George Karabatsos

Henk A.L. Kiers

Alan Nicewander

Haruhiko Ogasawara

Sophia Rabe-Hesketh

Albert Satorra

Klaas Sijtsma

Xin-Yuan Song

Rolf Steyer

Jonathan Templin

Marieke E. Timmerman

Stanley Wasserman

Rand Wilcox

 

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  • Journal Citation Reports®, Thomson Reuters
    2013 Impact Factor
  • 1.961
  • Aims and Scope

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    Psychometrika is devoted to the advancement of theory and methodology for behavioral data in psychology, education and the social and behavioral sciences generally. It has two sections: Theory and Methods (T& M), and Application Reviews and Case Studies (ARCS). T&M articles present original research and, occasionally, insightful reviews, addressing the development of quantitative models, statistical methods, and mathematical techniques for evaluating data from psychology, the social and behavioral sciences, and related fields. ARCS articles provide benchmarks for future applications in any of these areas: Application Reviews can be integrative, drawing together disparate methodologies for applications, or comparative and evaluative, discussing advantages and disadvantages of one or more methodologies in applications. Case Studies highlight methodology that deepens understanding of substantive phenomena through more informative data analysis, and/or more elegant data description.

    Officially cited as: Psychometrika

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