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 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
On the Cover: Having Fun with Bubbles5
Issue Information5
Issue Information5
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
Digital Module 26: Content Alignment in Standards‐based Educational Assessment4
Digital Module 38: Differential Item Functioning by Multiple Variables Using Moderated Nonlinear Factor Analysis4
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
Issue Cover3
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Digital Module 36: Applying Intersectionality Theory to Educational Measurement3
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
Foundational Competencies in Educational Measurement: A Rejoinder2
Editorial2
Issue Cover2
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MxML (Exploring the Relationship between Measurement and Machine Learning): Current State of the Field1
Commentary: Social Responsibility, Fairness, and College Admissions Tests1
AI: Can You Help Address This Issue?1
What Mathematics Content Do Teachers Teach? Optimizing Measurement of Opportunities to Learn in the Classroom1
Issue Information1
On the Cover: Person Infit Density Contour1
On the Cover: Sequential Progression and Item Review in Timed Tests: Patterns in Process Data1
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
On the Cover: Illustrating Collusion Networks with Graph Theory1
On the Cover: Tell‐Tale Triangles of Subscore Value1
NCME Presidential Address 2021: Assessment Research and Practice in the Post‐COVID‐19 Era1
Editorial1
Commentary: Achieving Educational Equity Requires a Communal Effort1
Digital Module 33: Fairness in Classroom Assessment: Dimensions and Tensions1
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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
Instruction‐Tuned Large‐Language Models for Quality Control in Automatic Item Generation: A Feasibility Study1
Issue Information1
Changing Educational Assessments in the Post‐COVID‐19 Era: From Assessment of Learning (AoL) to Assessment as Learning (AaL)1
Introduction to the Special Section “Issues and Practice in Applying Machine Learning in Educational Measurement”1
Supporting the Interpretive Validity of Student‐Level Claims in Science Assessment with Tiered Claim Structures1
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
Considerations for Future Online Testing and Assessment in Colleges and Universities0
Leading ITEMS: A Retrospective on Progress and Future Goals0
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Measurement Invariance for Multilingual Learners Using Item Response and Response Time in PISA 20180
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Editorial0
Investigating the Split‐Attention Effect in Computer‐Based Assessment: Spatial Integration and Interactive Signaling Approaches0
Disrupted Data: Using Longitudinal Assessment Systems to Monitor Test Score Quality0
Modeling Slipping Effects in a Large‐Scale Assessment with Innovative Item Formats0
Do Subject Matter Experts’ Judgments of Multiple‐Choice Format Suitability Predict Item Quality?0
Comparing Large‐Scale Assessments in Two Proctoring Modalities with Interactive Log Data Analysis0
Issue Cover0
Editorial0
Expected Classification Accuracy for Categorical Growth Models0
There Is No Right Way: A Reply to Sinharay (2022)0
Introduction to the Special Section on the Past, Present, and Future of Educational Measurement0
2023 NCME Presidential Address: Some Musings on Comparable Scores0
Educational Measurement: Models, Methods, and Theory0
Causal Inference and COVID: Contrasting Methods for Evaluating Pandemic Impacts Using State Assessments0
Call for Papers: Issues and Practice in Applying Machine Learning in Educational Measurement0
The Role of Response Style Adjustments in Cross‐Country Comparisons—A Case Study Using Data from the PISA 2015 Questionnaire0
College Admission Tests and Social Responsibility: A Response to the Commentaries0
Evaluating Population Invariance of Test Equating During the COVID‐19 Pandemic0
Issue Information0
Using OpenAI GPT to Generate Reading Comprehension Items0
Achievement and Growth on English Language Proficiency and Content Assessments for English Learners in Elementary Grades0
Issue Cover0
Using Classification Tree Models to Determine Course Placement0
ITEMS Corner ITEMS Portal Development Update https://ncme.elevate.commpartners.com0
Call for Papers: Leveraging Measurement for Better Decisions0
Issue Information0
Editorial0
Commentary: Where Does Classroom Assessment Fit in Educational Measurement?0
Issue Information0
Commentary: Large‐Scale Assessment and Legitimacy beyond the Corporate Responsibility Model0
Digital Module 29: Multidimensional Item Response Theory Equating0
On the Cover: Unraveling Reading Recognition Trajectories: Classifying Student Development through Growth Mixture Modeling0
On the Cover: The Increasing Impact of EM:IP0
Using Process Data to Evaluate the Impact of Shortening Allotted Case Time in a Simulation‐Based Assessment0
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From Mandated to Test‐Optional College Admissions Testing: Where Do We Go from Here?0
Editorial0
Hierarchical Agglomerative Clustering to Detect Test Collusion on Computer‐Based Tests0
Measurement Must Be Qualitative, then Quantitative, then Qualitative Again0
Combining Process Information and Item Response Modeling to Estimate Problem‐Solving Ability0
Mode Effects in College Admissions Testing and Differential Speededness as a Possible Explanation0
Issue Information0
Editorial0
ITEMS Corner Update: Announcing Two Significant Changes to ITEMS0
Introduction to the Special Section “Lingering Impact of COVID‐19 on Educational Measurement”0
On the Cover: Lindquist Center0
On the Cover: Key Specifications for a Large‐Scale Medical Exam0
Issue Information0
On the Cover: Predicted Racial‐Ethnic Composition of Educational Measurement Publications0
Examining Gender Differences in TIMSS 2019 Using a Multiple‐Group Hierarchical Speed‐Accuracy‐Revisits Model0
Issue Cover0
Editorial0
An Automated Item Pool Assembly Framework for Maximizing Item Utilization for CAT0
On the Cover: High School Coursetaking Sequence Clusters and Postsecondary Enrollment0
Introduction to the Focal Article, Commentaries, and Response to the Commentaries0
Admission Testing in Higher Education: Changing Landscape and Outcomes from Test‐Optional Policies0
Issue Information0
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The Multidimensionality of Measurement Bias in High‐Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning0
Issue Cover0
Editorial0
In the beginning, there was an item…0
Digital Module 32: Understanding and Mitigating the Impact of Low Effort on Common Uses of Test and Survey Scores0
Issue Information0
ITEMS Corner Update: Two Years of Changes to ITEMS0
Commentary: Reviving the Messenger: A Response to Koljatic et al. (2021)0
Commentary: Modernizing Educational Assessment Training for Changing Job Markets0
ITEMS Corner ITEMS Portal Development Update https://ncme.elevate.commpartners.com0
Inflection Point: The Role of Testing in Admissions Decisions in a Postpandemic Environment0
Digital Module 30: Validity and Educational Testing: Purposes and Uses of Educational Tests0
Examining the Psychometric Impact of Targeted and Random Double‐Scoring in Mixed‐Format Assessments0
Commentary: Design Tests with a Learning Purpose0
Rethinking Measurement 101: Lessons Learned from Teachers0
Editorial0
Machine Learning and Small Data0
ITEMS Corner: Next Chapter of ITEMS0
Reframing Research and Assessment Practices: Advancing an Antiracist and Anti‐Ableist Research Agenda0
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Issue Information0
Digital Module 37: Introduction to Item Response Tree (IRTree) Models0
Editorial0
The 2023 EM:IP Cover Graphic/Data Visualization Competition0
Issue Information0
Deriving Decisions from Disrupted Data0
Weighing the Value of Complex Growth Estimation Methods to Evaluate Individual Student Response to Instruction0
A Workflow for Minimizing Errors in Template‐Based Automated Item‐Generation Development0
Average Rank and Adjusted Rank Are Better Measures of College Student Success than GPA0
2024 NCME Presidential Address: Challenging Traditional Views of Measurement0
A Special Case of Brennan's Index for Tests That Aim to Select a Limited Number of Students: A Monte Carlo Simulation Study0
Commentary: An Evidence‐Based Response to “College Admission Tests and Social Responsibility”0
Examining Comparability across CAT Assessments0
Item Response Theory Models for Polytomous Multidimensional Forced‐Choice Items to Measure Construct Differentiation0
Defining Test‐Score Interpretation, Use, and Claims: Delphi Study for the Validity Argument0
Commentary: What Is Truly Foundational?0
Issue Cover0
Adjusting for Ability Differences of Equating Samples When Randomization Is Suboptimal0
Demystifying Adequate Growth Percentiles0
ITEMS Corner: Educating the Educational Measurement Community0
Linking Unlinkable Tests: A Step Forward0
Are There Distinctive Profiles in Examinee Essay‐Writing Processes?0
Machine Learning–Based Profiling in Test Cheating Detection0
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Digital Module 35: Through‐Year Assessment0
Reporting Pass–Fail Decisions to Examinees with Incomplete Data: A Commentary on Feinberg (2021)0
The Past, Present, and Future of Large‐Scale Assessment Consortia0
A Case for Reimagining Universal Design of Assessment Systems0
An Application of Text Embeddings to Support Alignment of Educational Content Standards0
The Good Side of COVID‐190
Communicating Measurement Outcomes with (Better) Graphics0
Issue Cover0
Revisiting the Usage of Alpha in Scale Evaluation: Effects of Scale Length and Sample Size0
Issue Cover0
Editorial0
Machine Learning Literacy for Measurement Professionals: A Practical Tutorial0
Knowledge Integration in Science Learning: Tracking Students' Knowledge Development and Skill Acquisition with Cognitive Diagnosis Models0
Psychometric Evaluation of the Preschool Early Numeracy Skills Test–Brief Version Within the Item Response Theory Framework0
Bilevel Topic Model‐Based Multitask Learning for Constructed‐Responses Multidimensional Automated Scoring and Interpretation0
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On the Cover: Gendered Trajectories of Digital Literacy Development: Insights from a Longitudinal Cohort Study0
On the Cover: Indicators for Item Preknowledge0
To Score or Not to Score: Factors Influencing Performance and Feasibility of Automatic Content Scoring of Text Responses0
On the Cover: Distractor Cascade Analysis0
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Generalizability Theory Approach to Analyzing Automated‐Item Generated Test Forms0
Improving Instructional Decision‐Making Using Diagnostic Classification Models0
The Impact of COVID‐19‐Related School Closures on Student Achievement—A Meta‐Analysis0
Digital Module 27: Hierarchical Rater Models0
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The 2025 EM:IP Cover Graphic/Data Visualization Competition0
Editorial0
Measuring Digital Literacy during the COVID‐19 Pandemic: Experiences with Remote Assessment in Hong Kong0
A Machine Learning Approach for the Simultaneous Detection of Preknowledge in Examinees and Items When Both Are Unknown0
Personalizing Large‐Scale Assessment in Practice0
Weighting Content Specifications for the National Medical Licensing Examination via Group Analytic Hierarchy Process0
Editorial0
Commentary: Social Responsibility in College Admissions Requires a Reimagining of Standardized Testing0
Does It Matter How the Rigor of High School Coursework Is Measured? Gaps in Coursework Among Students and Across Grades0
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Reconceptualization of Coefficient Alpha Reliability for Test Summed and Scaled Scores0
Measurement Efficiency for Technology‐Enhanced and Multiple‐Choice Items in a K–12 Mathematics Accountability Assessment0
Personalizing Assessment: Dream or Nightmare?0
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