Measurement is devoted to the interdisciplinary study of measurement in the social sciences, as well as in engineering and other scientific disciplines. Each issue will contain peer-reviewed articles across interdisciplinary academic areas that provide advances in measurement applications.
The journal considers articles that critically engage with measurements used in accounting, biostatistics, data analytics, economics, engineering, finance, management, marketing, public and health policy, sociology, statistics, while covering educational psychology statistics research topics.
In addition, the focus of the journal will provide the readership with book reviews and software reviews when available. Measurement will include articles that highlight the development of new measurement applications, concepts and current practices in measurement.
The focus of submitted articles that address important issues in the field may include, but are not limited to, one of the following areas:
• Advances in measurement applications in the social sciences, medicine, business, kinesiology, etc.;
• Theoretical articles that give a new perspective on measurement research, and/or practice in measurement;
• Applied measurement articles in various interdisciplinary fields of study;
• Meta-analysis, meta-synthesis, summary, or systematic critique of a measurement topic;
• A book review that covers an in-depth review of a current measurement textbook;
• A comprehensive software review of a measurement software product, e.g., R package.
The numerous measurement topics can include, but are not limited to, the following:
• Bayesian Measurement/Modeling
• Classroom Assessment
• Cognitive Diagnostic Modeling
• Computer Adaptive Testing
• Diagnostic Classification Models
• Differential Item Functioning
• Econometrics and Finance
• Environmental and Spatial Statistics
• Generalizability Theory/Models
• Health and Public Policy
• Linking/Equating
• Mokken Analysis
• Quality Control
• Rating Scale Analysis/Models
• Reliability and Safety Engineering
• Structural Equation Modeling/Multi-level modeling
• Survey Sampling
• Survival Analysis
• Test security
• Text Analysis
• Time Series Analysis
• Validity and Reliability issues conducted in a research study
Note: The Journal does not publish reliability and validity studies of specific tests or assessment instruments. Such analysis must be part of a larger applied measurement research article.
There are software programs today that can be evaluated and presented in the journal. A few are:
• MIRT
• OpenBugs
• Winsteps
• Stan
• Parscale
• R packages
This journal provides content for social scientists with an interest in the study of measurement, its theory, and application; including psychometricians, psychologists, educational researchers, policy researchers, educational and psychological test developers, medical and public health professionals.
Please see Instructions for Authors page for submission details.
RELATED LINKS
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Peer Review Policy: All focus articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by two anonymous referees. All commentary and rejoinder papers in this journal have undergone editorial screening and peer review.
Publication office: Taylor & Francis, Inc.,
530 Walnut Street, Suite 850, Philadelphia, PA 19106 . Authors can choose to publish gold open access in this journal.
Read the Instructions for Authors for information on how to submit your article.
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