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 2020-11-01 to 2024-11-01.)
ArticleCitations
“Color‐Neutral” Is Not a Thing: Redefining Construct Definition and Representation through a Justice‐Oriented Critical Antiracist Lens69
The Impact of COVID‐19‐Related School Closures on Student Achievement—A Meta‐Analysis60
NCME Presidential Address 2020: Valuing Educational Measurement19
College Admission Tests and Social Responsibility17
Evaluating Item Fit Statistic Thresholds in PISA: Analysis of Cross‐Country Comparability of Cognitive Items15
Learning Theory, Classroom Assessment, and Equity15
Changing Educational Assessments in the Post‐COVID‐19 Era: From Assessment of Learning (AoL) to Assessment as Learning (AaL)12
Foundational Competencies in Educational Measurement11
Using Active Learning Methods to Strategically Select Essays for Automated Scoring8
Commentary: From Construct to Consequences: Extending the Notion of Social Responsibility8
A Longitudinal Diagnostic Model with Hierarchical Learning Trajectories8
Machine Learning and Small Data7
Investigating the Split‐Attention Effect in Computer‐Based Assessment: Spatial Integration and Interactive Signaling Approaches7
The Multidimensionality of Measurement Bias in High‐Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning7
Coconstructing a Meaningful Online Environment: Faculty–Student Rapport in the English as a Foreign Language College Classroom7
Measuring Comparison Effects: A Critical View on the Internal/External Frame of Reference Model5
An Ecological Framework for Item Responding Within the Context of a Youth Risk and Needs Assessment5
The Ramifications of COVID‐19 in Education: Beyond the Extension of the Kano Model and Unipolar View of Satisfaction and Dissatisfaction in the Field of Blended Learning5
An Exploration and Critical Examination of How “Intelligent Classroom Technologies” Can Improve Specific Uses of Direct Student Behavior Observation Methods5
Commentary: Evolution of Equity Perspectives on Higher Education Admissions Testing: A Call for Increased Critical Consciousness5
How Did Students Engage with a Remote Educational Assessment? A Case Study5
The Effect of Item Preknowledge on Response Time: Analysis of Two Datasets Using the Multiple‐Group Lognormal Response Time Model with a Gating Mechanism5
Considerations for Future Online Testing and Assessment in Colleges and Universities4
Inflection Point: The Role of Testing in Admissions Decisions in a Postpandemic Environment4
Measuring Digital Literacy during the COVID‐19 Pandemic: Experiences with Remote Assessment in Hong Kong4
Development and Validation of an Automatic Item Generation System for English Idioms4
A Rubric for the Detection of Students in Crisis4
The Good Side of COVID‐194
Bilevel Topic Model‐Based Multitask Learning for Constructed‐Responses Multidimensional Automated Scoring and Interpretation4
Estimating Classification Decisions for Incomplete Tests4
Are Fourth‐Year College Students Better Critical Thinkers than Their First‐Year Peers? Not So Much, and College Major and Ethnicity Matter4
A Probabilistic Filtering Approach to Non‐Effortful Responding4
Defining Test‐Score Interpretation, Use, and Claims: Delphi Study for the Validity Argument4
An Evaluation of Automatic Item Generation: A Case Study of Weak Theory Approach3
Average Rank and Adjusted Rank Are Better Measures of College Student Success than GPA3
Boolean Analysis of Interobserver Agreement: Formal and Functional Evidence Sampling in Complex Coding Endeavors3
To Score or Not to Score: Factors Influencing Performance and Feasibility of Automatic Content Scoring of Text Responses3
Balancing Trade‐Offs in the Detection of Primary Schools at Risk3
Introduction to the Focal Article, Commentaries, and Response to the Commentaries3
Gender‐Based EFL Writing Error Analysis Using Human and Computer‐Aided Approaches3
Development of a New Learning Progression Verification Method based on the Hierarchical Diagnostic Classification Model: Taking Grade 5 Students’ Fractional Operations as an Example3
The Role of Response Style Adjustments in Cross‐Country Comparisons—A Case Study Using Data from the PISA 2015 Questionnaire3
Transforming Assessment: The Impacts and Implications of Large Language Models and Generative AI2
Assessing the Impact of a Test Question: Evidence from the “Underground Railroad” Controversy2
Commentary: The Future of College Admissions Tests2
Clarifying the Terminology of Validity and the Investigative Stages of Validation2
Commentary: Achieving Educational Equity Requires a Communal Effort2
Using OpenAI GPT to Generate Reading Comprehension Items2
Reporting Pass–Fail Decisions to Examinees with Incomplete Data: A Commentary on Feinberg (2021)2
Combining Process Information and Item Response Modeling to Estimate Problem‐Solving Ability2
Commentary: Design Tests with a Learning Purpose2
Commentary: Social Responsibility, Fairness, and College Admissions Tests2
A Machine Learning Approach for the Simultaneous Detection of Preknowledge in Examinees and Items When Both Are Unknown2
Digital Module 21: Results Reporting for Large‐Scale Assessments2
College Admission Tests and Social Responsibility: A Response to the Commentaries2
On the Cover: Time Spent on Multiple‐Choice Items2
Personalizing Large‐Scale Assessment in Practice2
Using Classification Tree Models to Determine Course Placement2
Commentary: Social Responsibility in College Admissions Requires a Reimagining of Standardized Testing2
ITEMS Corner Update: The New ITEMS Module Development Process2
Examining Comparability across CAT Assessments2
Are There Distinctive Profiles in Examinee Essay‐Writing Processes?2
Mode Effects in College Admissions Testing and Differential Speededness as a Possible Explanation2
Commentary: Comment on College Admissions Tests and Social Responsibility2
The Impact of the COVID‐19 Pandemic on American Board of Surgery's Oral Certifying Exams1
Cheating Detection of Test Collusion: A Study on Machine Learning Techniques and Feature Representation1
On the Cover: Having Fun with Bubbles1
Do Subject Matter Experts’ Judgments of Multiple‐Choice Format Suitability Predict Item Quality?1
ITEMS Corner Update: Recording Audio and Adding an Editorial Polish to an ITEMS Module1
A Model‐Data‐Fit‐Informed Approach to Score Resolution in Performance Assessments1
Measuring Variability in Proctor Decision Making on High‐Stakes Assessments: Improving Test Security in the Digital Age1
Commentary: Response to Koljatic et al.: Neither a Persuasive Critique of Admissions Testing Nor Practical Suggestions for Improvement1
Psychometric Evaluation of the Preschool Early Numeracy Skills Test–Brief Version Within the Item Response Theory Framework1
Machine Learning Literacy for Measurement Professionals: A Practical Tutorial1
Disrupted Data: Using Longitudinal Assessment Systems to Monitor Test Score Quality1
Digital Module 27: Hierarchical Rater Models1
Evaluating Population Invariance of Test Equating During the COVID‐19 Pandemic1
Commentary: Where Does Classroom Assessment Fit in Educational Measurement?1
Digital Module 29: Multidimensional Item Response Theory Equating1
A Problem with the Bookmark Procedure's Correction for Guessing1
Digital Module 22: Supporting Decisions with Assessment1
Introduction to the Special Section “Lingering Impact of COVID‐19 on Educational Measurement”1
Rethinking Measurement 101: Lessons Learned from Teachers1
Does It Matter How the Rigor of High School Coursework Is Measured? Gaps in Coursework Among Students and Across Grades1
Blending Strategic Expertise and Technology: A Case Study for Practice Analysis1
Commentary: Large‐Scale Assessment and Legitimacy beyond the Corporate Responsibility Model1
ITEMS Corner Update: The Initial Steps in the ITEMS Development Process1
Digital Module 30: Validity and Educational Testing: Purposes and Uses of Educational Tests1
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Surveying the Measurement Profession to Assist Recruiting in the United States1
Reconceptualization of Coefficient Alpha Reliability for Test Summed and Scaled Scores1
Commentary: An Evidence‐Based Response to “College Admission Tests and Social Responsibility”1
Commentary: Restoring Public Trust1
ITEMS Corner Update: The Final Three Steps in the Development Process1
Supporting the Interpretive Validity of Student‐Level Claims in Science Assessment with Tiered Claim Structures1
Modeling Slipping Effects in a Large‐Scale Assessment with Innovative Item Formats1
NCME Presidential Address 2021: Assessment Research and Practice in the Post‐COVID‐19 Era1
Diving Into Students’ Transcripts: High School Course‐Taking Sequences and Postsecondary Enrollment1
Commentary: The Questions We Should Be Asking About Socially Responsible College Admission Testing1
Commentary: Reviving the Messenger: A Response to Koljatic et al. (2021)1
Communicating Measurement Outcomes with (Better) Graphics1
Digital Module 28: Unusual Things That Usually Occur in a Credentialing Testing Program1
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Digital Module 26: Content Alignment in Standards‐based Educational Assessment0
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ITEMS Corner Update: Announcing Two Significant Changes to ITEMS0
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Commentary: What Is the Breadth of “Educational Measurement?”0
Weighting Content Specifications for the National Medical Licensing Examination via Group Analytic Hierarchy Process0
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ITEMS Corner ITEMS Portal Development Update https://ncme.elevate.commpartners.com0
Digital Module 19: Foundations of IRT Estimation0
Commentary: Past, Present, and Future of Educational Measurement0
ITEMS Corner Update: High Traffic to the ITEMS Portal on the NCME Website0
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Commentary: How Research and Testing Companies can Support Early‐Career Measurement Professionals0
Item Response Theory Models for Polytomous Multidimensional Forced‐Choice Items to Measure Construct Differentiation0
On the Cover: High School Coursetaking Sequence Clusters and Postsecondary Enrollment0
ITEMS CornerITEMS Portal Development Updatehttps://ncme.elevate.commpartners.com0
Digital Module 35: Through‐Year Assessment0
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An Investigation of the Nature and Consequence of the Relationship between IRT Difficulty and Discrimination0
A Special Case of Brennan's Index for Tests That Aim to Select a Limited Number of Students: A Monte Carlo Simulation Study0
Digital Module 33: Fairness in Classroom Assessment: Dimensions and Tensions0
On the Cover: Network of Educational Measurement Articles0
Weighing the Value of Complex Growth Estimation Methods to Evaluate Individual Student Response to Instruction0
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On the Cover: Predicted Racial‐Ethnic Composition of Educational Measurement Publications0
Call for Papers: Leveraging Measurement for Better Decisions0
ITEMS Corner ITEMS Portal Development Update https://ncme.elevate.commpartners.com0
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Investigating Approaches to Controlling Item Position Effects in Computerized Adaptive Tests0
Item Selection Algorithm Based on Collaborative Filtering for Item Exposure Control0
Visualizing Distributions Across Grades0
Knowledge Integration in Science Learning: Tracking Students' Knowledge Development and Skill Acquisition with Cognitive Diagnosis Models0
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Exploration of Latent Structure in Test Revision and Review Log Data0
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Achievement and Growth on English Language Proficiency and Content Assessments for English Learners in Elementary Grades0
ITEMS Corner: Educating the Educational Measurement Community0
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The 2024 EM:IP Cover Graphic/Data Visualization Competition0
Digital Module 24: Assessment Literacy0
Applying Evidence‐Centered Design in the Development of a Multidimensional Adaptive Reading Motivation Measure0
On the Cover: Person Infit Density Contour0
Comparing Large‐Scale Assessments in Two Proctoring Modalities with Interactive Log Data Analysis0
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Digital Module 23: Multidimensional Item Response Theory Graphics0
Examining Gender Differences in TIMSS 2019 Using a Multiple‐Group Hierarchical Speed‐Accuracy‐Revisits Model0
Foundational Competencies in Educational Measurement: A Rejoinder0
Setting and Validating Multiple Standards on a Multistage‐Adaptive Test0
The 2023 EM:IP Cover Graphic/Data Visualization Competition0
ITEMS Corner ITEMS Portal Development Update https://ncme.elevate.commpartners.com0
State Assessment Score Reporting Practices for English Learner Parents0
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On the Cover: Indicators for Item Preknowledge0
The Past, Present, and Future of Large‐Scale Assessment Consortia0
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Commentary: A Data‐Driven Analysis of Recent Job Posts to Evaluate the Foundational Competencies0
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An Automated Item Pool Assembly Framework for Maximizing Item Utilization for CAT0
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On the Cover: Distractor Cascade Analysis0
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The Relationship between Item Developer Alignment of Items to Range Achievement‐Level Descriptors and Item Difficulty: Implications for Validating Intended Score Interpretations0
Introduction to the Special Section “Issues and Practice in Applying Machine Learning in Educational Measurement”0
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2023 NCME Presidential Address: Some Musings on Comparable Scores0
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Digital Module 31: Testing Accommodations for Students with Disabilities0
Guesses and Slips as Proficiency‐Related Phenomena and Impacts on Parameter Invariance0
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Retraction: Commentary: Negative Consequences of Testing and Admission Practices: Should Blame Be Attributed to Testing Organizations?0
ITEMS Corner ITEMS Portal Development Update https://ncme.elevate.commpartners.com0
Improving Instructional Decision‐Making Using Diagnostic Classification Models0
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Applying a Mixture Rasch Model‐Based Approach to Standard Setting0
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Commentary: Perspectives of Early Career Professionals on Enhancing Cultural Responsiveness in Educational Measurement0
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Measurement Efficiency for Technology‐Enhanced and Multiple‐Choice Items in a K–12 Mathematics Accountability Assessment0
On the Cover: Turning the Page0
Digital Module 32: Understanding and Mitigating the Impact of Low Effort on Common Uses of Test and Survey Scores0
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Evaluating Panelists’ Understanding of Standard Setting Data0
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Ronald K. Hambleton (1943–2022): Setting the Standard for Measurement Excellence0
Digital Module 20: Classroom Assessment Standards0
Commentary: Modernizing Educational Assessment Training for Changing Job Markets0
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Revisiting the Usage of Alpha in Scale Evaluation: Effects of Scale Length and Sample Size0
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On the Cover: Key Specifications for a Large‐Scale Medical Exam0
Examining the Psychometric Impact of Targeted and Random Double‐Scoring in Mixed‐Format Assessments0
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On the Cover: Is my Test Speeded?0
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Demystifying Adequate Growth Percentiles0
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ITEMS Corner Update: Two Years of Changes to ITEMS0
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There Is No Right Way: A Reply to Sinharay (2022)0
Causal Inference and COVID: Contrasting Methods for Evaluating Pandemic Impacts Using State Assessments0
Adjusting for Ability Differences of Equating Samples When Randomization Is Suboptimal0
Call for Papers: Issues and Practice in Applying Machine Learning in Educational Measurement0
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Deriving Decisions from Disrupted Data0
Machine Learning–Based Profiling in Test Cheating Detection0
On the Cover: Tell‐Tale Triangles of Subscore Value0
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Validation as Evaluating Desired and Undesired Effects: Insights From Cross‐Classified Mixed Effects Model0
Reached or Not Reached: A Tale of Two Data Sources0
Digital Module 34: Introduction to Multilevel Measurement Modeling0
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Expected Classification Accuracy for Categorical Growth Models0
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MxML (Exploring the Relationship between Measurement and Machine Learning): Current State of the Field0
Hierarchical Agglomerative Clustering to Detect Test Collusion on Computer‐Based Tests0
Commentary: What Is Truly Foundational?0
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Digital Module 25: Testlet Response Theory0
What Mathematics Content Do Teachers Teach? Optimizing Measurement of Opportunities to Learn in the Classroom0
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A Workflow for Minimizing Errors in Template‐Based Automated Item‐Generation Development0
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