JMEEP is a quarterly journal focusing on methodological studies that will contribute to the development of measurement theory and innovative studies that aim to find solutions to the problems in practice based on measurement theories. Studies aiming to contribute to the quantitative research methodology are expected not only to apply an advanced statistical method in a data set, but also to be structured in a way with high generalizability.
In addition to those, the journal plans to present book and software reviews to its audience on relevant topics in a regular basis.
The scope of the journal includes, but not limited to, the following measurement topics:
• Automated Essay Scoring
• Automated Item Generation
• Bayesian Methods
• Classical Test Theory
• Classroom Assessment
• Educational and Psychological Data Mining and Machine Learning Applications
• Generalizability Theory
• Hierarchical Linear Modeling
• Item Response Theory (parametric and non-parametric) and Applications
• Large Scale Assessments
• Non-Linear Statistical Models
• Rasch Analysis
• Structural Equation Modeling/Multi-Level Modeling
• Test Security
Note: Scale development or validity-reliability studies performed by routine operations that do not contribute to the methodology and measurement theory are not included in JMEEP-EPOD. On the other hand, the journal may include the description of useful and new instruments with the potential of meeting the needs in the literature on the condition that the validity and reliability evidence of these tools is collected by innovative, updated, and appropriate methods. Studies demonstrating how measurement tools are applicable in new research or various practical situations may also be considered for evaluation. Scale development and adaptation studies must contribute to methodology and field of measurement and evaluation or reveal important findings for practical implications.