Measurement

Measurement is devoted to the interdisciplinary study of measurement in the social sciences. Each issue will contain peer-reviewed articles across interdisciplinary academic areas that provide advances in measurement applications. In addition, the focus of the journal will provide the readership with book reviews and software reviews when available. The journal 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:
• Validity and Reliability issues conducted in a research study
• Test security
• Cognitive Diagnostic Modeling
• Computer Adaptive Testing
• Linking/Equating
• Bayesian Measurement/Modeling
• Differential Item Functioning
• Classroom Assessment
• Diagnostic Classification Models
• Rating Scale Analysis/Models
• Mokken Analysis
• Structural Equation Modeling/Multi-level modeling
• Generalizability Theory/Models
• 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.