Educational Measurement-Issues and Practice

Papers
(The TQCC of Educational Measurement-Issues and Practice is 1. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Visualizing Distributions Across Grades79
Digital Module 31: Testing Accommodations for Students with Disabilities26
On the Cover: Turning the Page18
Blending Strategic Expertise and Technology: A Case Study for Practice Analysis15
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Issue Information13
ITEMS Corner Update: The Initial Steps in the ITEMS Development Process10
Editorial9
Item Selection Algorithm Based on Collaborative Filtering for Item Exposure Control8
Evolving Educational Testing to Meet Students’ Needs: Design‐in‐Real‐Time Assessment8
ITEMS Corner Update: The New ITEMS Module Development Process7
Applying a Mixture Rasch Model‐Based Approach to Standard Setting7
Growth across Grades and Common Item Grade Alignment in Vertical Scaling Using the Rasch Model7
Coconstructing a Meaningful Online Environment: Faculty–Student Rapport in the English as a Foreign Language College Classroom6
How Did Students Engage with a Remote Educational Assessment? A Case Study6
Issue Cover6
Issue Information5
On the Cover: Having Fun with Bubbles5
Issue Information5
Digital Module 26: Content Alignment in Standards‐based Educational Assessment4
Digital Module 38: Differential Item Functioning by Multiple Variables Using Moderated Nonlinear Factor Analysis4
Commentary: A Data‐Driven Analysis of Recent Job Posts to Evaluate the Foundational Competencies4
What Makes Measurement Important for Education?4
The Impact of the COVID‐19 Pandemic on American Board of Surgery's Oral Certifying Exams4
Issue Cover3
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Digital Module 36: Applying Intersectionality Theory to Educational Measurement3
Guesses and Slips as Proficiency‐Related Phenomena and Impacts on Parameter Invariance3
Digital Module 28: Unusual Things That Usually Occur in a Credentialing Testing Program3
Foundational Competencies in Educational Measurement3
The University of California Was Wrong to Abolish the SAT: Admissions When Affirmative Action Was Banned3
A Probabilistic Filtering Approach to Non‐Effortful Responding3
The 2024 EM:IP Cover Graphic/Data Visualization Competition3
An Evaluation of Automatic Item Generation: A Case Study of Weak Theory Approach3
Commentary: Perspectives of Early Career Professionals on Enhancing Cultural Responsiveness in Educational Measurement3
Foundational Competencies in Educational Measurement: A Rejoinder2
Editorial2
Issue Cover2
Editorial2
Comparative Analysis of Psychometric Frameworks and Properties of Scores from Autogenerated Test Forms2
Current Psychometric Models and Some Uses of Technology in Educational Testing2
ITEMS Corner Update: Recording Audio and Adding an Editorial Polish to an ITEMS Module2
Applications and Modeling of Keystroke Logs in Writing Assessments2
ITEMS Corner Update: High Traffic to the ITEMS Portal on the NCME Website2
Commentary: What Is the Breadth of “Educational Measurement?”2
Digital Module 34: Introduction to Multilevel Measurement Modeling2
Development of a New Learning Progression Verification Method based on the Hierarchical Diagnostic Classification Model: Taking Grade 5 Students’ Fractional Operations as an Example2
Commentary: How Research and Testing Companies can Support Early‐Career Measurement Professionals2
What Should Psychometricians Know about the History of Testing and Testing Policy?2
Measuring Variability in Proctor Decision Making on High‐Stakes Assessments: Improving Test Security in the Digital Age2
Exploration of Latent Structure in Test Revision and Review Log Data2
Issue Information2
Cheating Detection of Test Collusion: A Study on Machine Learning Techniques and Feature Representation2
The Relationship between Item Developer Alignment of Items to Range Achievement‐Level Descriptors and Item Difficulty: Implications for Validating Intended Score Interpretations2
Commentary: Past, Present, and Future of Educational Measurement2
Issue Cover2
An Investigation of the Nature and Consequence of the Relationship between IRT Difficulty and Discrimination2
ITEMS Corner Update: The Final Three Steps in the Development Process2
Issue Information1
Introduction to the Special Section “Issues and Practice in Applying Machine Learning in Educational Measurement”1
On the Cover: Sequential Progression and Item Review in Timed Tests: Patterns in Process Data1
Still Interested in Multidimensional Item Response Theory Modeling? Here Are Some Thoughts on How to Make It Work in Practice1
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Issue Cover1
Ronald K. Hambleton (1943–2022): Setting the Standard for Measurement Excellence1
Issue Cover1
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MxML (Exploring the Relationship between Measurement and Machine Learning): Current State of the Field1
On the Cover: Illustrating Collusion Networks with Graph Theory1
Commentary: Social Responsibility, Fairness, and College Admissions Tests1
NCME Presidential Address 2021: Assessment Research and Practice in the Post‐COVID‐19 Era1
What Mathematics Content Do Teachers Teach? Optimizing Measurement of Opportunities to Learn in the Classroom1
Commentary: Achieving Educational Equity Requires a Communal Effort1
On the Cover: Person Infit Density Contour1
1
You Win Some, You Lose Some1
Issue Cover1
Issue Cover1
Validation as Evaluating Desired and Undesired Effects: Insights From Cross‐Classified Mixed Effects Model1
Issue Information1
Issue Cover1
Reached or Not Reached: A Tale of Two Data Sources1
Instruction‐Tuned Large‐Language Models for Quality Control in Automatic Item Generation: A Feasibility Study1
On the Cover: Tell‐Tale Triangles of Subscore Value1
Issue Information1
Editorial1
Supporting the Interpretive Validity of Student‐Level Claims in Science Assessment with Tiered Claim Structures1
Digital Module 33: Fairness in Classroom Assessment: Dimensions and Tensions1
Diving Into Students’ Transcripts: High School Course‐Taking Sequences and Postsecondary Enrollment1
Measurement Reflections1
Transforming Assessment: The Impacts and Implications of Large Language Models and Generative AI1
Investigating Approaches to Controlling Item Position Effects in Computerized Adaptive Tests1
Commentary: Restoring Public Trust1
Using Active Learning Methods to Strategically Select Essays for Automated Scoring1
Applying Evidence‐Centered Design in the Development of a Multidimensional Adaptive Reading Motivation Measure1
AI: Can You Help Address This Issue?1
Changing Educational Assessments in the Post‐COVID‐19 Era: From Assessment of Learning (AoL) to Assessment as Learning (AaL)1
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