Springer New York
1860-0980
Quarterly
2.8
0033-3123
1936
18007774643
United States
English
YES
Google Scholar
reviews@psychometrika.org
Psychometrika is a peer-reviewed journal devoted to fostering psychology as a quantitative rational science by examining statistical methods, discussing mathematical techniques, and advancing theory for evaluating behavioral data in psychology, education, and the social and behavioral sciences generally. The official journal of the Psychometric Society. Comprises three main sections: Theory and Methods, Application Reviews & Case Studies (ARCS), and Book Reviews. Focuses on the development of quantitative models for psychological phenomena. Features new mathematical and statistical techniques for the evaluation of data in psychology, education, and in the social sciences. Emphasizes the connection between novel methodology and its application to empirical data in psychology, education, and in the social sciences.
A family of scaling corrections aimed to improve the chi-square approximation of goodness-of-fit test statistics in small samples, large models, and nonnormal data was proposed in Satorra an...
A scaled difference test statistic that can be computed from standard software of structural equation models (SEM) by hand calculations was proposed in Satorra and Bentler (Psychometrika 66...
On page 245, lines 3 and 4, of the published paper, we find the following text: “Since tr{UdΓ} can be expressed as the trace of the product of two positive definite matrices, tr{UdΓ} >...
Sijtsma and Pfadt (Psychometrika, 2021) provide a wide-ranging defense for the use of coefficient alpha. Alpha is practical and useful when its limitations are acceptable. This paper discuss...
An interdependent multivariate linear relations model based on manifest, measured variables as well as unmeasured and unmeasurable latent variables is developed. The latent variables include...
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