Educational Measurement-Issues and Practice

Papers
(The TQCC of Educational Measurement-Issues and Practice is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
On the Cover: Turning the Page91
Digital Module 31: Testing Accommodations for Students with Disabilities43
Blending Strategic Expertise and Technology: A Case Study for Practice Analysis23
21
Visualizing Distributions Across Grades18
ITEMS Corner Update: The Initial Steps in the ITEMS Development Process17
Issue Information12
Applying a Mixture Rasch Model‐Based Approach to Standard Setting10
Editorial10
Issue Cover8
Evolving Educational Testing to Meet Students’ Needs: Design‐in‐Real‐Time Assessment8
Issue Information7
Item Selection Algorithm Based on Collaborative Filtering for Item Exposure Control7
Growth across Grades and Common Item Grade Alignment in Vertical Scaling Using the Rasch Model7
Editorial7
ITEMS Corner Update: The New ITEMS Module Development Process7
Issue Information6
A Probabilistic Filtering Approach to Non‐Effortful Responding6
Commentary: A Data‐Driven Analysis of Recent Job Posts to Evaluate the Foundational Competencies6
What Makes Measurement Important for Education?6
The Impact of the COVID‐19 Pandemic on American Board of Surgery's Oral Certifying Exams5
Digital Module 38: Differential Item Functioning by Multiple Variables Using Moderated Nonlinear Factor Analysis5
Digital Module 36: Applying Intersectionality Theory to Educational Measurement4
Cheating Detection of Test Collusion: A Study on Machine Learning Techniques and Feature Representation4
The 2024 EM:IP Cover Graphic/Data Visualization Competition4
The University of California Was Wrong to Abolish the SAT: Admissions When Affirmative Action Was Banned4
Commentary: Perspectives of Early Career Professionals on Enhancing Cultural Responsiveness in Educational Measurement4
Digital Module 28: Unusual Things That Usually Occur in a Credentialing Testing Program4
Foundational Competencies in Educational Measurement4
Guesses and Slips as Proficiency‐Related Phenomena and Impacts on Parameter Invariance4
Editorial3
Issue Information3
Applications and Modeling of Keystroke Logs in Writing Assessments3
Editorial3
An Evaluation of Automatic Item Generation: A Case Study of Weak Theory Approach3
Exploration of Latent Structure in Test Revision and Review Log Data3
Issue Cover3
Detecting Aberrant Test‐Taking Behaviors in Computer‐Based Testing Using One‐Dimensional Convolutional Neural Networks3
Commentary: What Is the Breadth of “Educational Measurement?”3
Foundational Competencies in Educational Measurement: A Rejoinder3
ITEMS Corner Update: High Traffic to the ITEMS Portal on the NCME Website3
Instruction‐Tuned Large‐Language Models for Quality Control in Automatic Item Generation: A Feasibility Study2
Issue Cover2
2
Ronald K. Hambleton (1943–2022): Setting the Standard for Measurement Excellence2
On the Cover: Exploring Artificial Intelligence in Education2
ITEMS Corner Update: Recording Audio and Adding an Editorial Polish to an ITEMS Module2
An Investigation of the Nature and Consequence of the Relationship between IRT Difficulty and Discrimination2
Commentary: How Research and Testing Companies can Support Early‐Career Measurement Professionals2
Issue Cover2
Measurement Reflections2
Issue Cover2
Transforming Assessment: The Impacts and Implications of Large Language Models and Generative AI2
Current Psychometric Models and Some Uses of Technology in Educational Testing2
ITEMS Corner Update: The Final Three Steps in the Development Process2
Measuring Variability in Proctor Decision Making on High‐Stakes Assessments: Improving Test Security in the Digital Age2
Issue Cover2
Comparative Analysis of Psychometric Frameworks and Properties of Scores from Autogenerated Test Forms2
Issue Cover2
Investigating Approaches to Controlling Item Position Effects in Computerized Adaptive Tests2
Validation as Evaluating Desired and Undesired Effects: Insights From Cross‐Classified Mixed Effects Model2
Development of a New Learning Progression Verification Method based on the Hierarchical Diagnostic Classification Model: Taking Grade 5 Students’ Fractional Operations as an Example2
Digital Module 34: Introduction to Multilevel Measurement Modeling2
Commentary: Past, Present, and Future of Educational Measurement2
What Should Psychometricians Know about the History of Testing and Testing Policy?2
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