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
Evolving Educational Testing to Meet Students’ Needs: Design‐in‐Real‐Time Assessment8
Item Selection Algorithm Based on Collaborative Filtering for Item Exposure Control8
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
ITEMS Corner Update: The New ITEMS Module Development Process7
Issue Cover6
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 Information5
Issue Information5
On the Cover: Having Fun with Bubbles5
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
Commentary: A Data‐Driven Analysis of Recent Job Posts to Evaluate the Foundational Competencies4
What Makes Measurement Important for Education?4
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
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
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
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
Issue Cover1
Reached or Not Reached: A Tale of Two Data Sources1
On the Cover: Tell‐Tale Triangles of Subscore Value1
Editorial1
Digital Module 33: Fairness in Classroom Assessment: Dimensions and Tensions1
Diving Into Students’ Transcripts: High School Course‐Taking Sequences and Postsecondary Enrollment1
Instruction‐Tuned Large‐Language Models for Quality Control in Automatic Item Generation: A Feasibility Study1
Measurement Reflections1
Issue Information1
Transforming Assessment: The Impacts and Implications of Large Language Models and Generative AI1
Supporting the Interpretive Validity of Student‐Level Claims in Science Assessment with Tiered Claim Structures1
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
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
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
AI: Can You Help Address This Issue?1
Ronald K. Hambleton (1943–2022): Setting the Standard for Measurement Excellence1
Issue Information1
Issue Cover1
On the Cover: Sequential Progression and Item Review in Timed Tests: Patterns in Process Data1
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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
What Mathematics Content Do Teachers Teach? Optimizing Measurement of Opportunities to Learn in the Classroom1
On the Cover: Person Infit Density Contour1
You Win Some, You Lose Some1
On the Cover: Illustrating Collusion Networks with Graph Theory1
Issue Cover1
NCME Presidential Address 2021: Assessment Research and Practice in the Post‐COVID‐19 Era1
Issue Cover1
Commentary: Achieving Educational Equity Requires a Communal Effort1
Validation as Evaluating Desired and Undesired Effects: Insights From Cross‐Classified Mixed Effects Model1
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Issue Information1
Issue Information0
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Reframing Research and Assessment Practices: Advancing an Antiracist and Anti‐Ableist Research Agenda0
Digital Module 37: Introduction to Item Response Tree (IRTree) Models0
The 2023 EM:IP Cover Graphic/Data Visualization Competition0
Deriving Decisions from Disrupted Data0
Editorial0
Weighing the Value of Complex Growth Estimation Methods to Evaluate Individual Student Response to Instruction0
Issue Information0
A Special Case of Brennan's Index for Tests That Aim to Select a Limited Number of Students: A Monte Carlo Simulation Study0
A Workflow for Minimizing Errors in Template‐Based Automated Item‐Generation Development0
Commentary: An Evidence‐Based Response to “College Admission Tests and Social Responsibility”0
2024 NCME Presidential Address: Challenging Traditional Views of Measurement0
Average Rank and Adjusted Rank Are Better Measures of College Student Success than GPA0
Item Response Theory Models for Polytomous Multidimensional Forced‐Choice Items to Measure Construct Differentiation0
Commentary: What Is Truly Foundational?0
Defining Test‐Score Interpretation, Use, and Claims: Delphi Study for the Validity Argument0
Examining Comparability across CAT Assessments0
Issue Cover0
Demystifying Adequate Growth Percentiles0
Linking Unlinkable Tests: A Step Forward0
ITEMS Corner: Educating the Educational Measurement Community0
Adjusting for Ability Differences of Equating Samples When Randomization Is Suboptimal0
Are There Distinctive Profiles in Examinee Essay‐Writing Processes?0
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Reporting Pass–Fail Decisions to Examinees with Incomplete Data: A Commentary on Feinberg (2021)0
Digital Module 35: Through‐Year Assessment0
Machine Learning–Based Profiling in Test Cheating Detection0
The Past, Present, and Future of Large‐Scale Assessment Consortia0
A Case for Reimagining Universal Design of Assessment Systems0
The Good Side of COVID‐190
An Application of Text Embeddings to Support Alignment of Educational Content Standards0
Communicating Measurement Outcomes with (Better) Graphics0
Issue Cover0
Editorial0
Issue Cover0
Machine Learning Literacy for Measurement Professionals: A Practical Tutorial0
Revisiting the Usage of Alpha in Scale Evaluation: Effects of Scale Length and Sample Size0
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Bilevel Topic Model‐Based Multitask Learning for Constructed‐Responses Multidimensional Automated Scoring and Interpretation0
On the Cover: Gendered Trajectories of Digital Literacy Development: Insights from a Longitudinal Cohort Study0
Psychometric Evaluation of the Preschool Early Numeracy Skills Test–Brief Version Within the Item Response Theory Framework0
Knowledge Integration in Science Learning: Tracking Students' Knowledge Development and Skill Acquisition with Cognitive Diagnosis Models0
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On the Cover: Distractor Cascade Analysis0
To Score or Not to Score: Factors Influencing Performance and Feasibility of Automatic Content Scoring of Text Responses0
On the Cover: Indicators for Item Preknowledge0
The Impact of COVID‐19‐Related School Closures on Student Achievement—A Meta‐Analysis0
Improving Instructional Decision‐Making Using Diagnostic Classification Models0
Generalizability Theory Approach to Analyzing Automated‐Item Generated Test Forms0
Digital Module 27: Hierarchical Rater Models0
The 2025 EM:IP Cover Graphic/Data Visualization Competition0
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Measuring Digital Literacy during the COVID‐19 Pandemic: Experiences with Remote Assessment in Hong Kong0
Editorial0
Editorial0
A Machine Learning Approach for the Simultaneous Detection of Preknowledge in Examinees and Items When Both Are Unknown0
Commentary: Social Responsibility in College Admissions Requires a Reimagining of Standardized Testing0
Weighting Content Specifications for the National Medical Licensing Examination via Group Analytic Hierarchy Process0
Personalizing Large‐Scale Assessment in Practice0
Measurement Efficiency for Technology‐Enhanced and Multiple‐Choice Items in a K–12 Mathematics Accountability Assessment0
Does It Matter How the Rigor of High School Coursework Is Measured? Gaps in Coursework Among Students and Across Grades0
Personalizing Assessment: Dream or Nightmare?0
Reconceptualization of Coefficient Alpha Reliability for Test Summed and Scaled Scores0
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Leading ITEMS: A Retrospective on Progress and Future Goals0
Measurement Invariance for Multilingual Learners Using Item Response and Response Time in PISA 20180
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Considerations for Future Online Testing and Assessment in Colleges and Universities0
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Investigating the Split‐Attention Effect in Computer‐Based Assessment: Spatial Integration and Interactive Signaling Approaches0
Modeling Slipping Effects in a Large‐Scale Assessment with Innovative Item Formats0
Disrupted Data: Using Longitudinal Assessment Systems to Monitor Test Score Quality0
Editorial0
Do Subject Matter Experts’ Judgments of Multiple‐Choice Format Suitability Predict Item Quality?0
Issue Cover0
Expected Classification Accuracy for Categorical Growth Models0
Editorial0
Comparing Large‐Scale Assessments in Two Proctoring Modalities with Interactive Log Data Analysis0
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
Educational Measurement: Models, Methods, and Theory0
2023 NCME Presidential Address: Some Musings on Comparable Scores0
Causal Inference and COVID: Contrasting Methods for Evaluating Pandemic Impacts Using State Assessments0
Evaluating Population Invariance of Test Equating During the COVID‐19 Pandemic0
College Admission Tests and Social Responsibility: A Response to the Commentaries0
Issue Information0
The Role of Response Style Adjustments in Cross‐Country Comparisons—A Case Study Using Data from the PISA 2015 Questionnaire0
Call for Papers: Issues and Practice in Applying Machine Learning in Educational Measurement0
Using Classification Tree Models to Determine Course Placement0
Issue Cover0
Achievement and Growth on English Language Proficiency and Content Assessments for English Learners in Elementary Grades0
Using OpenAI GPT to Generate Reading Comprehension Items0
Issue Information0
Call for Papers: Leveraging Measurement for Better Decisions0
ITEMS Corner ITEMS Portal Development Update https://ncme.elevate.commpartners.com0
Editorial0
Commentary: Large‐Scale Assessment and Legitimacy beyond the Corporate Responsibility Model0
Issue Information0
Commentary: Where Does Classroom Assessment Fit in Educational Measurement?0
Digital Module 29: Multidimensional Item Response Theory Equating0
On the Cover: The Increasing Impact of EM:IP0
On the Cover: Unraveling Reading Recognition Trajectories: Classifying Student Development through Growth Mixture Modeling0
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Using Process Data to Evaluate the Impact of Shortening Allotted Case Time in a Simulation‐Based Assessment0
Measurement Must Be Qualitative, then Quantitative, then Qualitative Again0
From Mandated to Test‐Optional College Admissions Testing: Where Do We Go from Here?0
Combining Process Information and Item Response Modeling to Estimate Problem‐Solving Ability0
Hierarchical Agglomerative Clustering to Detect Test Collusion on Computer‐Based Tests0
Editorial0
ITEMS Corner Update: Announcing Two Significant Changes to ITEMS0
Mode Effects in College Admissions Testing and Differential Speededness as a Possible Explanation0
Introduction to the Special Section “Lingering Impact of COVID‐19 on Educational Measurement”0
Editorial0
Issue Information0
On the Cover: Key Specifications for a Large‐Scale Medical Exam0
On the Cover: Predicted Racial‐Ethnic Composition of Educational Measurement Publications0
Issue Information0
On the Cover: Lindquist Center0
Examining Gender Differences in TIMSS 2019 Using a Multiple‐Group Hierarchical Speed‐Accuracy‐Revisits Model0
Editorial0
On the Cover: High School Coursetaking Sequence Clusters and Postsecondary Enrollment0
An Automated Item Pool Assembly Framework for Maximizing Item Utilization for CAT0
Issue Cover0
Introduction to the Focal Article, Commentaries, and Response to the Commentaries0
Admission Testing in Higher Education: Changing Landscape and Outcomes from Test‐Optional Policies0
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Issue Information0
The Multidimensionality of Measurement Bias in High‐Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning0
In the beginning, there was an item…0
Editorial0
Digital Module 32: Understanding and Mitigating the Impact of Low Effort on Common Uses of Test and Survey Scores0
Issue Cover0
Commentary: Modernizing Educational Assessment Training for Changing Job Markets0
Commentary: Reviving the Messenger: A Response to Koljatic et al. (2021)0
ITEMS Corner ITEMS Portal Development Update https://ncme.elevate.commpartners.com0
ITEMS Corner Update: Two Years of Changes to ITEMS0
Issue Information0
Commentary: Design Tests with a Learning Purpose0
Examining the Psychometric Impact of Targeted and Random Double‐Scoring in Mixed‐Format Assessments0
Digital Module 30: Validity and Educational Testing: Purposes and Uses of Educational Tests0
Inflection Point: The Role of Testing in Admissions Decisions in a Postpandemic Environment0
Machine Learning and Small Data0
Editorial0
Rethinking Measurement 101: Lessons Learned from Teachers0
ITEMS Corner: Next Chapter of ITEMS0
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