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Remarks from the Editor-in-Chief

Published online by Cambridge University Press:  01 January 2025

Sandip Sinharay
Sandip Sinharay*
Affiliation:
ETS Research Institute
*
Correspondence should be made to Sandip Sinharay, ETS Research Institute, Princeton, NJ, USA. Email: ssinharay@ets.org
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Type
Theory & Methods
Information
Psychometrika , Volume 89 , Issue 4 , December 2024 , pp. 1117 - 1118
Copyright
© 2024 The Author(s), under exclusive licence to The Psychometric Society

Dear Psychometrika Readers,

Welcome to the last Psychometrika issue of 2024. As many of you may know, this is also the last Psychometrika issue to be published with Springer. Psychometrika will be an Open Access journal, published by Cambridge University Press, from January 2025. Consequently, we are now accepting submissions of manuscripts through the new website https://mc.manuscriptcentral.com/psychometrika. Revisions of all the articles whose original versions were submitted to Springer’s manuscript submission website have to be submitted to the new website.

The current issue includes eleven “Theory and Methods” section articles. The first article focuses on fast and efficient distributed Bayesian inference in IRT Models (and is written by Sainan Xu, Jing Lu, Jiwei Zhang, Chun Wang, and Gongjun Xu). The next two articles, by Daniel McNeish and Robert Mislevy, are commentaries on a paper (explaining the value and properties of sum scores and classical test theory) by Klaas Sijtsma, Jules Ellis, and Denny Borsboom, which was published in the March, 2024 issue of Psychometrika. The fourth article of this issue is a rejoinder, written by Sijtsma, Ellis, and Borsboom, primarily responding to the commentaries of McNeish and Mislevy. The next seven articles of the issue focus on (i) a conditional Bayesian framework for ising network analysis with missing data (Siliang Zhang and Yunxiao Chen) (ii) a general estimation approach for state-space models with ordinal measurements (Teague Henry, Lindley Slipetz, Ami Falk, Jiaxing Qiu, and Meng Chen), (iii) an asymptotically correct person fit statistic for the Rasch testlet model (Zhongtian Lin, Tao Jiang, Frank Rijmen, and Paul Van Wamelen), (iv) modeling evasive response bias in randomized response (Khadiga Sayed, Maarten Cruyff, and Peter van der Heijden), (v) reliability theory for measurements with variable test length (Jules Ellis, Klaas Sijtsma, Kristel de Groot, and Patrick Groenen), (vi) a general cognitive diagnostic modeling framework for arbitrary types of multivariate responses with minimal assumptions (Seunghyun Lee and Yuqi Gu), and (vii) Bayesian Adaptive Lasso for detecting item-trait relationship and differential item functioning in multidimensional IRT models (Na Shan and Ping-Feng Xu). The issue ends with a correction, written by Gyeongcheol Cho & Heungsun Hwang, of their recently published Psychometrika article.

Hope you enjoy the issue.

References

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