Educational Measurement-Issues and Practice

Papers
(The median citation count of Educational Measurement-Issues and Practice is 0. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Blending Strategic Expertise and Technology: A Case Study for Practice Analysis77
28
Visualizing Distributions Across Grades24
ITEMS Corner Update: The Initial Steps in the ITEMS Development Process18
Issue Information17
Digital Module 31: Testing Accommodations for Students with Disabilities16
When Is Classroom Assessment Educational Measurement?15
Editorial12
Issue Cover10
Editorial9
Evolving Educational Testing to Meet Students’ Needs: Design‐in‐Real‐Time Assessment9
Item Selection Algorithm Based on Collaborative Filtering for Item Exposure Control9
Growth across Grades and Common Item Grade Alignment in Vertical Scaling Using the Rasch Model8
ITEMS Corner Update: The New ITEMS Module Development Process8
Issue Information8
Applying a Mixture Rasch Model‐Based Approach to Standard Setting8
Digital Module 38: Differential Item Functioning by Multiple Variables Using Moderated Nonlinear Factor Analysis7
A Probabilistic Filtering Approach to Non‐Effortful Responding7
What Makes Measurement Important for Education?6
Knowing What Students Know —An Essay on the Contributions of Robert Mislevy6
Commentary: A Data‐Driven Analysis of Recent Job Posts to Evaluate the Foundational Competencies6
The 2024 EM:IP Cover Graphic/Data Visualization Competition5
Guesses and Slips as Proficiency‐Related Phenomena and Impacts on Parameter Invariance5
The University of California Was Wrong to Abolish the SAT: Admissions When Affirmative Action Was Banned5
Commentary: Perspectives of Early Career Professionals on Enhancing Cultural Responsiveness in Educational Measurement5
Cheating Detection of Test Collusion: A Study on Machine Learning Techniques and Feature Representation5
An Evaluation of Automatic Item Generation: A Case Study of Weak Theory Approach4
Issue Information4
Editorial4
Editorial4
4
Foundational Competencies in Educational Measurement4
Issue Information4
Digital Module 36: Applying Intersectionality Theory to Educational Measurement4
Detecting Aberrant Test‐Taking Behaviors in Computer‐Based Testing Using One‐Dimensional Convolutional Neural Networks4
Commentary: What Is the Breadth of “Educational Measurement?”4
ITEMS Corner Update: High Traffic to the ITEMS Portal on the NCME Website4
Current Psychometric Models and Some Uses of Technology in Educational Testing3
Issue Cover3
Commentary: Past, Present, and Future of Educational Measurement3
An Investigation of the Nature and Consequence of the Relationship between IRT Difficulty and Discrimination3
ITEMS Corner Update: The Final Three Steps in the Development Process3
Exploration of Latent Structure in Test Revision and Review Log Data3
Digital Module 34: Introduction to Multilevel Measurement Modeling3
Issue Cover3
Foundational Competencies in Educational Measurement: A Rejoinder3
Applications and Modeling of Keystroke Logs in Writing Assessments3
ITEMS Corner Update: Recording Audio and Adding an Editorial Polish to an ITEMS Module3
Comparative Analysis of Psychometric Frameworks and Properties of Scores from Autogenerated Test Forms2
Measuring Variability in Proctor Decision Making on High‐Stakes Assessments: Improving Test Security in the Digital Age2
Validation as Evaluating Desired and Undesired Effects: Insights From Cross‐Classified Mixed Effects Model2
Issue Cover2
Measurement Reflections2
Investigating Approaches to Controlling Item Position Effects in Computerized Adaptive Tests2
Robert J. Mislevy and Computational Psychometrics2
Issue Cover2
What Should Psychometricians Know about the History of Testing and Testing Policy?2
2
On the Cover: Sequential Progression and Item Review in Timed Tests: Patterns in Process Data2
Transforming Assessment: The Impacts and Implications of Large Language Models and Generative AI2
On the Cover: Exploring Artificial Intelligence in Education2
Issue Cover2
Commentary: How Research and Testing Companies can Support Early‐Career Measurement Professionals2
Ronald K. Hambleton (1943–2022): Setting the Standard for Measurement Excellence2
Instruction‐Tuned Large‐Language Models for Quality Control in Automatic Item Generation: A Feasibility Study2
Comparing Clustering Algorithms for Collusion Detection Using Mixed‐Type Data1
Issue Information1
Still Interested in Multidimensional Item Response Theory Modeling? Here Are Some Thoughts on How to Make It Work in Practice1
You Win Some, You Lose Some1
Supporting the Interpretive Validity of Student‐Level Claims in Science Assessment with Tiered Claim Structures1
Issue Information1
Issue Information1
Introduction to the Special Section “Issues and Practice in Applying Machine Learning in Educational Measurement”1
MxML (Exploring the Relationship between Measurement and Machine Learning): Current State of the Field1
On the Cover: Tell‐Tale Triangles of Subscore Value1
Editorial1
Digital Module 33: Fairness in Classroom Assessment: Dimensions and Tensions1
1
On the Cover: Illustrating Collusion Networks with Graph Theory1
On the Cover: Person Infit Density Contour1
Optimizing Large‐Scale Mathematical Assessments: Leveraging Hierarchical Attribute Structures and Diagnostic Classification Models for Enhanced Student Diagnostics1
What Mathematics Content Do Teachers Teach? Optimizing Measurement of Opportunities to Learn in the Classroom1
Issue Cover1
Diving Into Students’ Transcripts: High School Course‐Taking Sequences and Postsecondary Enrollment1
Issue Cover1
Exploring the Effect of Human Error When Using Expert Judgments to Train an Automated Scoring System1
Evaluating Rater Effects of Large Language Models in Automated Essay Scoring: GPT, Claude, Gemini, and DeepSeek1
Issue Cover1
AI: Can You Help Address This Issue?1
Issue Cover1
Using Active Learning Methods to Strategically Select Essays for Automated Scoring1
An Urgent Request for the Development of Classroom Assessment Literacy0
A Comprehensive Alignment Framework for Building Coherence in an Assessment System0
Psychometric Evaluation of the Preschool Early Numeracy Skills Test–Brief Version Within the Item Response Theory Framework0
Call for Papers: Leveraging Measurement for Better Decisions0
0
Grounding Meaning and Warranting Inference in Educational Measurement: Theory, Epistemology, and Practice in Mislevy's Sociocognitive Framework0
ITEMS Corner Update: Two Years of Changes to ITEMS0
AI‐Generated Essays: Characteristics and Implications on Automated Scoring and Academic Integrity0
0
ITEMS Corner: Next Chapter of ITEMS0
Digital Module 30: Validity and Educational Testing: Purposes and Uses of Educational Tests0
Editorial0
Commentary: Where Does Classroom Assessment Fit in Educational Measurement?0
Digital Module 39: Introduction to Generalizability Theory0
2024 NCME Presidential Address: Challenging Traditional Views of Measurement0
On the Cover: Gendered Trajectories of Digital Literacy Development: Insights from a Longitudinal Cohort Study0
An Application of Text Embeddings to Support Alignment of Educational Content Standards0
Measurement Efficiency for Technology‐Enhanced and Multiple‐Choice Items in a K–12 Mathematics Accountability Assessment0
The 2026 EM:IP Cover Graphic/Data Visualization Competition0
Issue Information0
Introduction to the Special Section on the Past, Present, and Future of Educational Measurement0
Defining Test‐Score Interpretation, Use, and Claims: Delphi Study for the Validity Argument0
0
Achievement and Growth on English Language Proficiency and Content Assessments for English Learners in Elementary Grades0
0
A Special Case of Brennan's Index for Tests That Aim to Select a Limited Number of Students: A Monte Carlo Simulation Study0
On the Cover: Key Specifications for a Large‐Scale Medical Exam0
Bob Mislevy's Contributions to Large‐Scale Assessments0
Expected Classification Accuracy for Categorical Growth Models0
The 2023 EM:IP Cover Graphic/Data Visualization Competition0
Investigating Elements of Culturally Responsive Assessments in the Context of the National Assessment of Educational Progress: An Initial Exploration0
Examining Gender Differences in TIMSS 2019 Using a Multiple‐Group Hierarchical Speed‐Accuracy‐Revisits Model0
Hierarchical Agglomerative Clustering to Detect Test Collusion on Computer‐Based Tests0
Reached or Not Reached: A Tale of Two Data Sources0
Issue Information0
Measurement Invariance for Multilingual Learners Using Item Response and Response Time in PISA 20180
Weighing the Value of Complex Growth Estimation Methods to Evaluate Individual Student Response to Instruction0
Issue Information0
Editorial0
Commentary: What Is Truly Foundational?0
Digital Module 37: Introduction to Item Response Tree (IRTree) Models0
0
Automated Alignment of Math Items to Content Standards in Large‐Scale Assessments Using Language Models0
Improving Instructional Decision‐Making Using Diagnostic Classification Models0
0
Editorial0
Comparing Large‐Scale Assessments in Two Proctoring Modalities with Interactive Log Data Analysis0
On the Cover: The Increasing Impact of EM:IP0
On the Cover: Unraveling Reading Recognition Trajectories: Classifying Student Development through Growth Mixture Modeling0
ITEMS Corner Update: Announcing Two Significant Changes to ITEMS0
On the Cover: High School Coursetaking Sequence Clusters and Postsecondary Enrollment0
Measurement Must Be Qualitative, then Quantitative, then Qualitative Again0
Generalizability Theory Approach to Analyzing Automated‐Item Generated Test Forms0
Digital Module 35: Through‐Year Assessment0
Editorial0
Editorial0
Personalizing Assessment: Dream or Nightmare?0
Machine Learning–Based Profiling in Test Cheating Detection0
Machine Learning Literacy for Measurement Professionals: A Practical Tutorial0
Item Response Theory Models for Polytomous Multidimensional Forced‐Choice Items to Measure Construct Differentiation0
Issue Information0
On the Cover: Distractor Cascade Analysis0
Using Confidence Modeling to Optimize Overall Score Quality in Hybrid Scoring Systems0
An Automated Item Pool Assembly Framework for Maximizing Item Utilization for CAT0
0
Digital Module 40: Introduction to Machine Learning and Generative AI: From AutoGluon to Amazon Bedrock0
Issue Information0
A Case for Reimagining Universal Design of Assessment Systems0
Metaphors, Mantras, and Mnemonics: Communication Competencies in Educational Measurement0
Leading ITEMS: A Retrospective on Progress and Future Goals0
The Past, Present, and Future of Large‐Scale Assessment Consortia0
In the beginning, there was an item…0
Causal Inference and COVID: Contrasting Methods for Evaluating Pandemic Impacts Using State Assessments0
The 2025 EM:IP Cover Graphic/Data Visualization Competition0
Admission Testing in Higher Education: Changing Landscape and Outcomes from Test‐Optional Policies0
An Educational Measurement Perspective on Dealing with Uncertainty and Bias in Classroom Formative Assessment0
Editorial0
ITEMS Corner Update: Reconstructing ITEMS Layout0
Revisiting the Usage of Alpha in Scale Evaluation: Effects of Scale Length and Sample Size0
0
Weighting Content Specifications for the National Medical Licensing Examination via Group Analytic Hierarchy Process0
Average Rank and Adjusted Rank Are Better Measures of College Student Success than GPA0
Issue Information0
A Workflow for Minimizing Errors in Template‐Based Automated Item‐Generation Development0
Digital Module 41: Process Data0
Using Process Data to Evaluate the Impact of Shortening Allotted Case Time in a Simulation‐Based Assessment0
Editorial0
On the Cover: Predicted Racial‐Ethnic Composition of Educational Measurement Publications0
Knowledge Integration in Science Learning: Tracking Students' Knowledge Development and Skill Acquisition with Cognitive Diagnosis Models0
Commentary: Modernizing Educational Assessment Training for Changing Job Markets0
Digital Module 32: Understanding and Mitigating the Impact of Low Effort on Common Uses of Test and Survey Scores0
Reframing Research and Assessment Practices: Advancing an Antiracist and Anti‐Ableist Research Agenda0
Using OpenAI GPT to Generate Reading Comprehension Items0
Linking Unlinkable Tests: A Step Forward0
Do Subject Matter Experts’ Judgments of Multiple‐Choice Format Suitability Predict Item Quality?0
A Machine Learning Approach for the Simultaneous Detection of Preknowledge in Examinees and Items When Both Are Unknown0
Issue Cover0
Issue Cover0
Evidence Centered Design: The Contribution of Bob Mislevy in Advancing Validity Theory0
2023 NCME Presidential Address: Some Musings on Comparable Scores0
Limitations of QWK in Evaluating Automated and Human Scoring Systems0
0
Does It Matter How the Rigor of High School Coursework Is Measured? Gaps in Coursework Among Students and Across Grades0
Editorial0
Bilevel Topic Model‐Based Multitask Learning for Constructed‐Responses Multidimensional Automated Scoring and Interpretation0
The Role of Response Style Adjustments in Cross‐Country Comparisons—A Case Study Using Data from the PISA 2015 Questionnaire0
The Sensitivity of Value‐Added Estimates to Test Scoring Decisions0
Issue Cover0
Issue Information0
Automated Scoring in Learning Progression‐Based Assessment: A Comparison of Researcher and Machine Interpretations0
Demystifying Adequate Growth Percentiles0
0
Issue Information0
To Score or Not to Score: Factors Influencing Performance and Feasibility of Automatic Content Scoring of Text Responses0
Issue Cover0
Universal by Design: Unveiling the Effectiveness of Accommodations and Universal Design Features through Process Data0
Classroom Assessment Validation: Proficiency Claims and Uses0
0
Editorial0
Examining the Psychometric Impact of Targeted and Random Double‐Scoring in Mixed‐Format Assessments0
Educational Measurement: Models, Methods, and Theory0
0
From Mandated to Test‐Optional College Admissions Testing: Where Do We Go from Here?0
Digital Module 29: Multidimensional Item Response Theory Equating0
Issue Information0
Personalizing Large‐Scale Assessment in Practice0
Issue Information0
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