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 2021-11-01 to 2025-11-01.)
ArticleCitations
On the Cover: Turning the Page87
Digital Module 31: Testing Accommodations for Students with Disabilities36
Blending Strategic Expertise and Technology: A Case Study for Practice Analysis23
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Visualizing Distributions Across Grades17
ITEMS Corner Update: The Initial Steps in the ITEMS Development Process16
Issue Information11
Editorial11
How Did Students Engage with a Remote Educational Assessment? A Case Study10
Applying a Mixture Rasch Model‐Based Approach to Standard Setting9
Evolving Educational Testing to Meet Students’ Needs: Design‐in‐Real‐Time Assessment8
Issue Cover8
Editorial7
ITEMS Corner Update: The New ITEMS Module Development Process7
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 Classroom7
Item Selection Algorithm Based on Collaborative Filtering for Item Exposure Control7
A Probabilistic Filtering Approach to Non‐Effortful Responding6
Issue Cover6
Issue Information6
Commentary: A Data‐Driven Analysis of Recent Job Posts to Evaluate the Foundational Competencies6
Issue Information6
What Makes Measurement Important for Education?5
Digital Module 28: Unusual Things That Usually Occur in a Credentialing Testing Program4
The 2024 EM:IP Cover Graphic/Data Visualization Competition4
Digital Module 38: Differential Item Functioning by Multiple Variables Using Moderated Nonlinear Factor Analysis4
The Impact of the COVID‐19 Pandemic on American Board of Surgery's Oral Certifying Exams4
Guesses and Slips as Proficiency‐Related Phenomena and Impacts on Parameter Invariance4
3
Digital Module 36: Applying Intersectionality Theory to Educational Measurement3
Commentary: What Is the Breadth of “Educational Measurement?”3
ITEMS Corner Update: High Traffic to the ITEMS Portal on the NCME Website3
An Evaluation of Automatic Item Generation: A Case Study of Weak Theory Approach3
Cheating Detection of Test Collusion: A Study on Machine Learning Techniques and Feature Representation3
Foundational Competencies in Educational Measurement3
Editorial3
Editorial3
Commentary: Perspectives of Early Career Professionals on Enhancing Cultural Responsiveness in Educational Measurement3
The University of California Was Wrong to Abolish the SAT: Admissions When Affirmative Action Was Banned3
Issue Information3
Digital Module 34: Introduction to Multilevel Measurement Modeling3
Issue Cover2
ITEMS Corner Update: The Final Three Steps in the Development Process2
Issue Cover2
Current Psychometric Models and Some Uses of Technology in Educational Testing2
Comparative Analysis of Psychometric Frameworks and Properties of Scores from Autogenerated Test Forms2
Investigating Approaches to Controlling Item Position Effects in Computerized Adaptive Tests2
Ronald K. Hambleton (1943–2022): Setting the Standard for Measurement Excellence2
Validation as Evaluating Desired and Undesired Effects: Insights From Cross‐Classified Mixed Effects Model2
An Investigation of the Nature and Consequence of the Relationship between IRT Difficulty and Discrimination2
Development of a New Learning Progression Verification Method based on the Hierarchical Diagnostic Classification Model: Taking Grade 5 Students’ Fractional Operations as an Example2
Applications and Modeling of Keystroke Logs in Writing Assessments2
The Relationship between Item Developer Alignment of Items to Range Achievement‐Level Descriptors and Item Difficulty: Implications for Validating Intended Score Interpretations2
What Should Psychometricians Know about the History of Testing and Testing Policy?2
Commentary: How Research and Testing Companies can Support Early‐Career Measurement Professionals2
Issue Cover2
Issue Cover2
Commentary: Past, Present, and Future of Educational Measurement2
ITEMS Corner Update: Recording Audio and Adding an Editorial Polish to an ITEMS Module2
Foundational Competencies in Educational Measurement: A Rejoinder2
Exploration of Latent Structure in Test Revision and Review Log Data2
Measuring Variability in Proctor Decision Making on High‐Stakes Assessments: Improving Test Security in the Digital Age2
Measurement Reflections2
Issue Cover2
Transforming Assessment: The Impacts and Implications of Large Language Models and Generative AI2
2
Editorial1
Introduction to the Special Section “Issues and Practice in Applying Machine Learning in Educational Measurement”1
Commentary: Restoring Public Trust1
On the Cover: Illustrating Collusion Networks with Graph Theory1
Supporting the Interpretive Validity of Student‐Level Claims in Science Assessment with Tiered Claim Structures1
NCME Presidential Address 2021: Assessment Research and Practice in the Post‐COVID‐19 Era1
Exploring the Effect of Human Error When Using Expert Judgments to Train an Automated Scoring System1
On the Cover: Person Infit Density Contour1
Issue Cover1
On the Cover: Tell‐Tale Triangles of Subscore Value1
Diving Into Students’ Transcripts: High School Course‐Taking Sequences and Postsecondary Enrollment1
Changing Educational Assessments in the Post‐COVID‐19 Era: From Assessment of Learning (AoL) to Assessment as Learning (AaL)1
1
AI: Can You Help Address This Issue?1
Issue Information1
Issue Cover1
Issue Information1
Reached or Not Reached: A Tale of Two Data Sources1
MxML (Exploring the Relationship between Measurement and Machine Learning): Current State of the Field1
Issue Cover1
You Win Some, You Lose Some1
1
Instruction‐Tuned Large‐Language Models for Quality Control in Automatic Item Generation: A Feasibility Study1
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
Digital Module 33: Fairness in Classroom Assessment: Dimensions and Tensions1
Using Active Learning Methods to Strategically Select Essays for Automated Scoring1
The Impact of COVID‐19‐Related School Closures on Student Achievement—A Meta‐Analysis0
Issue Cover0
Does It Matter How the Rigor of High School Coursework Is Measured? Gaps in Coursework Among Students and Across Grades0
Examining Comparability across CAT Assessments0
Digital Module 35: Through‐Year Assessment0
Leading ITEMS: A Retrospective on Progress and Future Goals0
On the Cover: Distractor Cascade Analysis0
On the Cover: Predicted Racial‐Ethnic Composition of Educational Measurement Publications0
2024 NCME Presidential Address: Challenging Traditional Views of Measurement0
Measurement Efficiency for Technology‐Enhanced and Multiple‐Choice Items in a K–12 Mathematics Accountability Assessment0
Demystifying Adequate Growth Percentiles0
There Is No Right Way: A Reply to Sinharay (2022)0
Commentary: Modernizing Educational Assessment Training for Changing Job Markets0
Editorial0
Disrupted Data: Using Longitudinal Assessment Systems to Monitor Test Score Quality0
Educational Measurement: Models, Methods, and Theory0
Editorial0
To Score or Not to Score: Factors Influencing Performance and Feasibility of Automatic Content Scoring of Text Responses0
0
An Application of Text Embeddings to Support Alignment of Educational Content Standards0
0
Reporting Pass–Fail Decisions to Examinees with Incomplete Data: A Commentary on Feinberg (2021)0
Call for Papers: Issues and Practice in Applying Machine Learning in Educational Measurement0
ITEMS Corner: Educating the Educational Measurement Community0
Digital Module 30: Validity and Educational Testing: Purposes and Uses of Educational Tests0
Using Classification Tree Models to Determine Course Placement0
Knowledge Integration in Science Learning: Tracking Students' Knowledge Development and Skill Acquisition with Cognitive Diagnosis Models0
Introduction to the Focal Article, Commentaries, and Response to the Commentaries0
ITEMS Corner Update: Two Years of Changes to ITEMS0
Introduction to the Special Section “Lingering Impact of COVID‐19 on Educational Measurement”0
Issue Information0
Improving Instructional Decision‐Making Using Diagnostic Classification Models0
Item Response Theory Models for Polytomous Multidimensional Forced‐Choice Items to Measure Construct Differentiation0
Bilevel Topic Model‐Based Multitask Learning for Constructed‐Responses Multidimensional Automated Scoring and Interpretation0
Digital Module 37: Introduction to Item Response Tree (IRTree) Models0
Communicating Measurement Outcomes with (Better) Graphics0
The 2025 EM:IP Cover Graphic/Data Visualization Competition0
Issue Cover0
In the beginning, there was an item…0
0
Editorial0
Average Rank and Adjusted Rank Are Better Measures of College Student Success than GPA0
Editorial0
Comparing Large‐Scale Assessments in Two Proctoring Modalities with Interactive Log Data Analysis0
Issue Cover0
Do Subject Matter Experts’ Judgments of Multiple‐Choice Format Suitability Predict Item Quality?0
Issue Information0
A Workflow for Minimizing Errors in Template‐Based Automated Item‐Generation Development0
On the Cover: Lindquist Center0
Causal Inference and COVID: Contrasting Methods for Evaluating Pandemic Impacts Using State Assessments0
Personalizing Large‐Scale Assessment in Practice0
Mode Effects in College Admissions Testing and Differential Speededness as a Possible Explanation0
Hierarchical Agglomerative Clustering to Detect Test Collusion on Computer‐Based Tests0
Automated Scoring in Learning Progression‐Based Assessment: A Comparison of Researcher and Machine Interpretations0
On the Cover: Key Specifications for a Large‐Scale Medical Exam0
Digital Module 32: Understanding and Mitigating the Impact of Low Effort on Common Uses of Test and Survey Scores0
On the Cover: High School Coursetaking Sequence Clusters and Postsecondary Enrollment0
Machine Learning–Based Profiling in Test Cheating Detection0
0
ITEMS Corner Update: Announcing Two Significant Changes to ITEMS0
Issue Information0
Issue Cover0
College Admission Tests and Social Responsibility: A Response to the Commentaries0
Editorial0
Linking Unlinkable Tests: A Step Forward0
Issue Information0
Modeling Slipping Effects in a Large‐Scale Assessment with Innovative Item Formats0
Evaluating Population Invariance of Test Equating During the COVID‐19 Pandemic0
A Machine Learning Approach for the Simultaneous Detection of Preknowledge in Examinees and Items When Both Are Unknown0
Issue Cover0
Introduction to the Special Section on the Past, Present, and Future of Educational Measurement0
The Good Side of COVID‐190
Issue Information0
Defining Test‐Score Interpretation, Use, and Claims: Delphi Study for the Validity Argument0
Revisiting the Usage of Alpha in Scale Evaluation: Effects of Scale Length and Sample Size0
0
Using OpenAI GPT to Generate Reading Comprehension Items0
Editorial0
Admission Testing in Higher Education: Changing Landscape and Outcomes from Test‐Optional Policies0
On the Cover: Indicators for Item Preknowledge0
The Multidimensionality of Measurement Bias in High‐Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning0
Issue Information0
Commentary: Where Does Classroom Assessment Fit in Educational Measurement?0
Expected Classification Accuracy for Categorical Growth Models0
Digital Module 29: Multidimensional Item Response Theory Equating0
On the Cover: Gendered Trajectories of Digital Literacy Development: Insights from a Longitudinal Cohort Study0
Call for Papers: Leveraging Measurement for Better Decisions0
Generalizability Theory Approach to Analyzing Automated‐Item Generated Test Forms0
Using Process Data to Evaluate the Impact of Shortening Allotted Case Time in a Simulation‐Based Assessment0
Weighing the Value of Complex Growth Estimation Methods to Evaluate Individual Student Response to Instruction0
Measurement Must Be Qualitative, then Quantitative, then Qualitative Again0
Editorial0
0
Issue Information0
Digital Module 39: Introduction to Generalizability Theory0
Machine Learning Literacy for Measurement Professionals: A Practical Tutorial0
What Mathematics Content Do Teachers Teach? Optimizing Measurement of Opportunities to Learn in the Classroom0
Commentary: What Is Truly Foundational?0
Editorial0
Machine Learning and Small Data0
Examining Gender Differences in TIMSS 2019 Using a Multiple‐Group Hierarchical Speed‐Accuracy‐Revisits Model0
From Mandated to Test‐Optional College Admissions Testing: Where Do We Go from Here?0
Considerations for Future Online Testing and Assessment in Colleges and Universities0
Rethinking Measurement 101: Lessons Learned from Teachers0
Investigating the Split‐Attention Effect in Computer‐Based Assessment: Spatial Integration and Interactive Signaling Approaches0
The Past, Present, and Future of Large‐Scale Assessment Consortia0
A Case for Reimagining Universal Design of Assessment Systems0
Adjusting for Ability Differences of Equating Samples When Randomization Is Suboptimal0
An Automated Item Pool Assembly Framework for Maximizing Item Utilization for CAT0
A Special Case of Brennan's Index for Tests That Aim to Select a Limited Number of Students: A Monte Carlo Simulation Study0
Editorial0
Issue Information0
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Editorial0
2023 NCME Presidential Address: Some Musings on Comparable Scores0
Issue Cover0
Weighting Content Specifications for the National Medical Licensing Examination via Group Analytic Hierarchy Process0
ITEMS Corner: Next Chapter of ITEMS0
Personalizing Assessment: Dream or Nightmare?0
Psychometric Evaluation of the Preschool Early Numeracy Skills Test–Brief Version Within the Item Response Theory Framework0
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Inflection Point: The Role of Testing in Admissions Decisions in a Postpandemic Environment0
Examining the Psychometric Impact of Targeted and Random Double‐Scoring in Mixed‐Format Assessments0
Achievement and Growth on English Language Proficiency and Content Assessments for English Learners in Elementary Grades0
Issue Information0
Digital Module 27: Hierarchical Rater Models0
0
ITEMS Corner ITEMS Portal Development Update https://ncme.elevate.commpartners.com0
Measuring Digital Literacy during the COVID‐19 Pandemic: Experiences with Remote Assessment in Hong Kong0
Are There Distinctive Profiles in Examinee Essay‐Writing Processes?0
0
Reframing Research and Assessment Practices: Advancing an Antiracist and Anti‐Ableist Research Agenda0
Issue Information0
Combining Process Information and Item Response Modeling to Estimate Problem‐Solving Ability0
Deriving Decisions from Disrupted Data0
The 2023 EM:IP Cover Graphic/Data Visualization Competition0
On the Cover: Unraveling Reading Recognition Trajectories: Classifying Student Development through Growth Mixture Modeling0
The Role of Response Style Adjustments in Cross‐Country Comparisons—A Case Study Using Data from the PISA 2015 Questionnaire0
Editorial0
On the Cover: The Increasing Impact of EM:IP0
0
Measurement Invariance for Multilingual Learners Using Item Response and Response Time in PISA 20180
Reconceptualization of Coefficient Alpha Reliability for Test Summed and Scaled Scores0
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