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June 2025, Volume 50, Issue 3
- 387-419 Using Permutation Tests to Identify Statistically Sound and Nonredundant Sequential Patterns in Educational Event Sequences
by Yingbin Zhang & Luc Paquette & Nigel Bosch - 420-448 Approaches to Statistical Efficiency When Comparing the Embedded Adaptive Interventions in a SMART
by Timothy Lycurgus & Amy Kilbourne & Daniel Almirall - 449-470 Using Response Times in Answer Similarity Analysis
by Kylie Gorney & James A. Wollack - 471-496 Extending the Cluster Approach to Differential Item Functioning in Polytomous Items
by Martijn Schoenmakers & Jesper Tijmstra & Jeroen Vermunt & Maria Bolsinova - 497-525 The Rank-2PL IRT Models for Forced-Choice Questionnaires: Maximum Marginal Likelihood Estimation with an EM Algorithm
by Jianbin Fu & Xuan Tan & Patrick C. Kyllonen - 526-564 A Family of Cognitive Diagnosis Models for Continuous Bounded Responses
by Youxiang Jiang & Qingrong Tan & Wei Wen & Daxun Wang & Yan Cai & Dongbo Tu
April 2025, Volume 50, Issue 2
- 187-213 Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models
by Na Shan & Ping-Feng Xu - 214-238 Predictive Performance of Bayesian Stacking in Multilevel Education Data
by Mingya Huang & David Kaplan - 239-271 Measurement and Uncertainty Preserving Parametric Modeling for Continuous Latent Variables With Discrete Indicators and External Variables
by Roy Levy & Daniel McNeish - 272-295 Redefining Item Response Models for Small Samples
by Jean-Paul Fox - 296-330 Detecting Compromised Items With Response Times Using a Bayesian Change-Point Approach
by Yang Du & Susu Zhang - 331-382 Bayesian Diagnostic Classification Models for a Partially Known Q-Matrix
by Kazuhiro Yamaguchi
February 2025, Volume 50, Issue 1
- 3-4 Editorial
by Gongjun Xu & Minjeong Jeon - 5-43 Modeling Partial Knowledge in Multiple-Choice Cognitive Diagnostic Assessment
by Kentaro Fukushima & Nao Uchida & Kensuke Okada - 44-71 Power Analyses for Estimation of Complier Average Causal Effects Under Random Encouragement Designs in Education Research: Theory and Guidance
by Peter Z. Schochet - 72-101 Disentangling Person-Dependent and Item-Dependent Causal Effects: Applications of Item Response Theory to the Estimation of Treatment Effect Heterogeneity
by Joshua B. Gilbert & Luke W. Miratrix & Mridul Joshi & Benjamin W. Domingue - 102-127 A Novel Numerical Method for Solving Unknown Statistical Quantities in Multivariate Regression Models
by William R. Dardick & Jeffrey R. Harring - 128-148 Using Extant Data to Improve Estimation of the Standardized Mean Difference
by Kaitlyn G. Fitzgerald & Elizabeth Tipton - 149-179 Using Regularized Methods to Validate Q-Matrix in Cognitive Diagnostic Assessment
by Daoxuan Fu & Chunying Qin & Zhaosheng Luo & Yujun Li & Xiaofeng Yu & Ziyu Ye - 180-182 Reviewer Acknowledgments
by N/A
December 2024, Volume 49, Issue 6
- 879-911 Mixed-Effects Location Scale Models for Joint Modeling School Value-Added Effects on the Mean and Variance of Student Achievement
by George Leckie & Richard Parker & Harvey Goldstein & Kate Tilling - 912-929 A Simple Technique Assessing Ordinal and Disordinal Interaction Effects
by Sang-June Park & Youjae Yi - 930-945 Improving Balance in Educational Measurement: A Legacy of E. F. Lindquist
by Daniel Koretz - 955-975 The Use of Reparametrization and Constraints on Linear Models to Parse Qualitative and Quantitative Information for a Set of Predictors
by Ernest C. Davenport Jr. & Mark L. Davison & Kyungin Park - 976-1012 Using Regularization to Identify Measurement Bias Across Multiple Background Characteristics: A Penalized Expectation–Maximization Algorithm
by William C. M. Belzak & Daniel J. Bauer - 1013-1043 Equivalencies Between Ad Hoc Strategies and Multivariate Models for Meta-Analysis of Dependent Effect Sizes
by James E. Pustejovsky & Man Chen
October 2024, Volume 49, Issue 5
- 691-693 Introduction to the JEBS Special Section on Artificial Intelligence in Educational Statistics
by Steven Andrew Culpepper - 694-701 Strive for Measurement, Set New Standards, and Try Not to Be Evil
by Derek C. Briggs - 702-708 Harnessing AI for Educational Measurement: Standards and Emerging Frontiers
by Hua-Hua Chang - 709-714 AI and Psychometrics: Epistemology, Process, and Politics
by Ezekiel Dixon-Román - 715-722 Artificial Intelligence and Educational Measurement: Opportunities and Threats
by Andrew D. Ho - 723-729 How Do We Demonstrate AI Responsibility: The Devil Is in the Details
by Matthew S. Johnson - 730-752 A Two-Level Adaptive Test Battery
by Wim J. van der Linden & Luping Niu & Seung W. Choi - 753-779 Analyzing Polytomous Test Data: A Comparison Between an Information-Based IRT Model and the Generalized Partial Credit Model
by Joakim Wallmark & James O. Ramsay & Juan Li & Marie Wiberg - 780-816 Combining Human and Automated Scoring Methods in Experimental Assessments of Writing: A Case Study Tutorial
by Reagan Mozer & Luke Miratrix & Jackie Eunjung Relyea & James S. Kim - 817-847 Sample Size Calculation and Optimal Design for Multivariate Regression-Based Norming
by Francesco Innocenti & Math J. J. M. Candel & Frans E. S. Tan & Gerard J. P. van Breukelen - 848-874 A Comparison of Latent Semantic Analysis and Latent Dirichlet Allocation in Educational Measurement
by Jordan M. Wheeler & Allan S. Cohen & Shiyu Wang
August 2024, Volume 49, Issue 4
- 499-532 Latent Trait Item Response Models for Continuous Responses
by Gerhard Tutz & Pascal Jordan - 533-564 Pairwise Regression Weight Contrasts: Models for Allocating Psychological Resources
by Mark L. Davison & Hao Jia & Ernest C. Davenport - 565-594 Evaluating Psychometric Differences Between Fast Versus Slow Responses on Rating Scale Items
by Nana Kim & Daniel M. Bolt - 595-629 Identifying Informative Predictor Variables With Random Forests
by Yannick Rothacher & Carolin Strobl - 630-657 Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design
by Jyun-Hong Chen & Hsiu-Yi Chao - 658-686 A Multistrategy Cognitive Diagnosis Model Incorporating Item Response Times Based on Strategy Selection Theories
by Junhuan Wei & Liufen Luo & Yan Cai & Dongbo Tu
June 2024, Volume 49, Issue 3
- 311-341 Cross-Classified Item Response Theory Modeling With an Application to Student Evaluation of Teaching
by Sijia Huang & Li Cai - 342-367 DINA-BAG: A Bagging Algorithm for DINA Model Parameter Estimation in Small Samples
by David Arthur & Hua-Hua Chang - 368-402 Extending an Identified Four-Parameter IRT Model: The Confirmatory Set-4PNO Model
by Justin L. Kern - 403-430 An Improved Inferential Procedure to Evaluate Item Discriminations in a Conditional Maximum Likelihood Framework
by Clemens Draxler & Andreas Kurz & Can Gürer & Jan Philipp Nolte - 431-464 A Multidimensional Partially Compensatory Response Time Model on Basis of the Log-Normal Distribution
by Jochen Ranger & Christoph König & Benjamin W. Domingue & Jörg-Tobias Kuhn & Andreas Frey - 465-493 Alternatives to Weighted Item Fit Statistics for Establishing Measurement Invariance in Many Groups
by Sean Joo & Montserrat Valdivia & Dubravka Svetina Valdivia & Leslie Rutkowski
April 2024, Volume 49, Issue 2
- 151-172 A Psychometric Framework for Evaluating Fairness in Algorithmic Decision Making: Differential Algorithmic Functioning
by Youmi Suk & Kyung T. Han - 173-206 Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles
by Esther Ulitzsch & Steffi Pohl & Lale Khorramdel & Ulf Kroehne & Matthias von Davier - 207-240 Generalizing Beyond the Test: Permutation-Based Profile Analysis for Explaining DIF Using Item Features
by Maria Bolsinova & Jesper Tijmstra & Leslie Rutkowski & David Rutkowski - 241-267 Deep Learning Imputation for Asymmetric and Incomplete Likert-Type Items
by Zachary K. Collier & Minji Kong & Olushola Soyoye & Kamal Chawla & Ann M. Aviles & Yasser Payne - 268-307 A General Mixture Model for Cognitive Diagnosis
by Joemari Olea & Kevin Carl Santos
February 2024, Volume 49, Issue 1
- 3-31 Finding the Right Grain-Size for Measurement in the Classroom
by Mark Wilson - 32-60 Cognitive Diagnosis Testlet Model for Multiple-Choice Items
by Lei Guo & Wenjie Zhou & Xiao Li - 61-91 A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies
by Youmi Suk - 92-120 Chance-Constrained Automated Test Assembly
by Giada Spaccapanico Proietti & Mariagiulia Matteucci & Stefania Mignani & Bernard P. Veldkamp - 121-142 Bayesian Exploratory Factor Analysis via Gibbs Sampling
by Adrian Quintero & Emmanuel Lesaffre & Geert Verbeke - 143-146 Corrigendum to Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes
by N/A - 147-147 Erratum to Identifying Informative Predictor Variables With Random Forests
by N/A
December 2023, Volume 48, Issue 6
- 687-689 Introduction to JEBS Special Issue on Diagnostic Statistical Models
by Steven Andrew Culpepper & Gongjun Xu - 690-718 Latent Transition Cognitive Diagnosis Model With Covariates: A Three-Step Approach
by Qianru Liang & Jimmy de la Torre & Nancy Law - 719-749 The Restricted DINA Model: A Comprehensive Cognitive Diagnostic Model for Classroom-Level Assessments
by Pablo Nájera & Francisco J. Abad & Chia-Yi Chiu & Miguel A. Sorrel - 750-772 Optimizing Diagnostic Classification Models Application Considering Real-Life Constraints
by Kun Su & Robert A. Henson - 773-809 Bayesian Analysis Methods for Two-Level Diagnosis Classification Models
by Kazuhiro Yamaguchi - 810-841 Bayesian Estimation of Attribute Hierarchy for Cognitive Diagnosis Models
by Yinghan Chen & Shiyu Wang - 842-865 Diagnosing Primary Students’ Reading Progression: Is Cognitive Diagnostic Computerized Adaptive Testing the Way Forward?
by Yan Li & Chao Huang & Jia Liu - 866-888 IRT Models for Learning With Item-Specific Learning Parameters
by Albert Yu & Jeffrey A. Douglas - 889-913 Modeling Item-Level Heterogeneous Treatment Effects With the Explanatory Item Response Model: Leveraging Large-Scale Online Assessments to Pinpoint the Impact of Educational Interventions
by Joshua B. Gilbert & James S. Kim & Luke W. Miratrix - 914-941 A Diagnostic Tree Model for Adaptive Assessment of Complex Cognitive Processes Using Multidimensional Response Options
by Mark L. Davison & David J. Weiss & Joseph N. DeWeese & Ozge Ersan & Gina Biancarosa & Patrick C. Kennedy - 942-944 Acknowledgments
by N/A
October 2023, Volume 48, Issue 5
- 547-572 Expertise on Offer: Why Isn’t Anyone Buying?
by Henry Braun - 573-602 An Explicit Form With Continuous Attribute Profile of the Partial Mastery DINA Model
by Tian Shu & Guanzhong Luo & Zhaosheng Luo & Xiaofeng Yu & Xiaojun Guo & Yujun Li - 603-635 Model Misspecification and Robustness of Observed-Score Test Equating Using Propensity Scores
by Gabriel Wallin & Marie Wiberg - 636-660 Using Item Scores and Distractors to Detect Item Compromise and Preknowledge
by Kylie Gorney & James A. Wollack & Sandip Sinharay & Carol Eckerly - 661-682 Clinical (In)Efficiency in the Prediction of Dangerous Behavior
by Ehsan Bokhari
August 2023, Volume 48, Issue 4
- 387-419 A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development
by Francesco Bartolucci & Fulvia Pennoni & Giorgio Vittadini - 420-453 Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation
by Benjamin Lu & Eli Ben-Michael & Avi Feller & Luke Miratrix - 454-489 Handling Missing Data in Cross-Classified Multilevel Analyses: An Evaluation of Different Multiple Imputation Approaches
by Simon Grund & Oliver Lüdtke & Alexander Robitzsch - 490-520 Bayesian Change-Point Analysis Approach to Detecting Aberrant Test-Taking Behavior Using Response Times
by Hongyue Zhu & Hong Jiao & Wei Gao & Xiangbin Meng - 521-542 Detecting Item Preknowledge Using Revisits With Speed and Accuracy
by Onur Demirkaya & Ummugul Bezirhan & Jinming Zhang
June 2023, Volume 48, Issue 3
- 271-295 A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys
by Yajuan Si & Roderick J. A. Little & Ya Mo & Nell Sedransk - 296-319 A Randomization P-Value Test for Detecting Copying on Multiple-Choice Exams
by Joseph B. Lang - 320-348 Handling Missing Data in Growth Mixture Models
by Daniel Y. Lee & Jeffrey R. Harring - 349-383 Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables
by PatrÃcia Martinková & FrantiÅ¡ek BartoÅ¡ & Marek Brabec
April 2023, Volume 48, Issue 2
- 147-188 Computational Strategies and Estimation Performance With Bayesian Semiparametric Item Response Theory Models
by Sally Paganin & Christopher J. Paciorek & Claudia Wehrhahn & Abel RodrÃguez & Sophia Rabe-Hesketh & Perry de Valpine - 189-219 Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis
by Yu Wang & Chia-Yi Chiu & Hans Friedrich Köhn - 220-243 Deep Reinforcement Learning for Adaptive Learning Systems
by Xiao Li & Hanchen Xu & Jinming Zhang & Hua-hua Chang - 244-261 Breaking Our Silence on Factor Score Indeterminacy
by Niels G. Waller - 262-268 Commentary on “Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spacesâ€
by Ziwei Zhang & Corissa T. Rohloff & Nidhi Kohli
February 2023, Volume 48, Issue 1
- 3-36 Estimating Heterogeneous Treatment Effects Within Latent Class Multilevel Models: A Bayesian Approach
by Weicong Lyu & Jee-Seon Kim & Youmi Suk - 37-69 A Collection of Numerical Recipes Useful for Building Scalable Psychometric Applications
by Harold Doran - 70-102 Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes
by Mikkel Helding Vembye & James Eric Pustejovsky & Therese Deocampo Pigott - 103-141 Development of a High-Accuracy and Effective Online Calibration Method in CD-CAT Based on Gini Index
by Qingrong Tan & Yan Cai & Fen Luo & Dongbo Tu
December 2022, Volume 47, Issue 6
- 639-665 Pooling Interactions Into Error Terms in Multisite Experiments
by Wendy Chan & Larry Vernon Hedges - 666-692 Testing Differential Item Functioning Without Predefined Anchor Items Using Robust Regression
by Weimeng Wang & Yang Liu & Hongyun Liu - 693-735 Zero and One Inflated Item Response Theory Models for Bounded Continuous Data
by Dylan Molenaar & Mariana Cúri & Jorge L. Bazán - 736-776 Cognitive Diagnosis Modeling Incorporating Response Times and Fixation Counts: Providing Comprehensive Feedback and Accurate Diagnosis
by Peida Zhan* & Kaiwen Man* & Stefanie A. Wind & Jonathan Malone - 777-780 Acknowledgments
by N/A
October 2022, Volume 47, Issue 5
- 507-543 Jenss–Bayley Latent Change Score Model With Individual Ratio of the Growth Acceleration in the Framework of Individual Measurement Occasions
by Jin Liu - 544-575 Improving Accuracy and Stability of Aggregate Student Growth Measures Using Empirical Best Linear Prediction
by J. R. Lockwood & Katherine E. Castellano & Daniel F. McCaffrey - 576-602 Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings
by Benjamin W. Domingue & Klint Kanopka & Ben Stenhaug & Michael J. Sulik & Tanesia Beverly & Matthieu Brinkhuis & Ruhan Circi & Jessica Faul & Dandan Liao & Bruce McCandliss & Jelena Obradović & Chris Piech & Tenelle Porter & Project iLEAD Consortium & James Soland & Jon Weeks & Steven L. Wise & Jason Yeatman - 603-634 Forced-Choice Ranking Models for Raters’ Ranking Data
by Su-Pin Hung & Hung-Yu Huang
August 2022, Volume 47, Issue 4
- 367-405 Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Estimators With Variation in Treatment Timing
by Peter Z. Schochet - 406-437 A Critical View on the NEAT Equating Design: Statistical Modeling and Identifiability Problems
by Ernesto San MartÃn & Jorge González - 438-458 Statistical Inference for G-indices of Agreement
by Douglas G. Bonett - 459-484 Regression Discontinuity Designs With an Ordinal Running Variable: Evaluating the Effects of Extended Time Accommodations for English-Language Learners
by Youmi Suk & Peter M. Steiner & Jee-Seon Kim & Hyunseung Kang - 485-504 Two Statistical Tests for the Detection of Item Compromise
by Wim J. van der Linden
June 2022, Volume 47, Issue 3
- 263-296 Reporting Proficiency Levels for Examinees With Incomplete Data
by Sandip Sinharay - 297-321 A New Multiprocess IRT Model With Ideal Points for Likert-Type Items
by Kuan-Yu Jin & Yi-Jhen Wu & Hui-Fang Chen - 322-352 Item Pool Quality Control in Educational Testing: Change Point Model, Compound Risk, and Sequential Detection
by Yunxiao Chen & Yi-Hsuan Lee & Xiaoou Li - 353-362 What Is Actually Equated in “Test Equating†? A Didactic Note
by Wim J. van der Linden
April 2022, Volume 47, Issue 2
- 131-166 Comparison of Within- and Between-Series Effect Estimates in the Meta-Analysis of Multiple Baseline Studies
by Seang-Hwane Joo & Yan Wang & John Ferron & S. Natasha Beretvas & Mariola Moeyaert & Wim Van Den Noortgate - 167-201 Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces
by Jin Liu & Robert A. Perera & Le Kang & Roy T. Sabo & Robert M. Kirkpatrick - 202-230 On the Generalized S − X 2 –Test of Item Fit: Some Variants, Residuals, and a Graphical Visualization
by Jochen Ranger & Kay Brauer - 231-260 Analyzing Longitudinal Social Relations Model Data Using the Social Relations Structural Equation Model
by Steffen Nestler & Oliver Lüdtke & Alexander Robitzsch
February 2022, Volume 47, Issue 1
- 3-35 Using Sequence Mining Techniques for Understanding Incorrect Behavioral Patterns on Interactive Tasks
by Esther Ulitzsch & Qiwei He & Steffi Pohl - 36-68 Mean Comparisons of Many Groups in the Presence of DIF: An Evaluation of Linking and Concurrent Scaling Approaches
by Alexander Robitzsch & Oliver Lüdtke - 69-100 Block What You Can, Except When You Shouldn’t
by Nicole E. Pashley & Luke W. Miratrix - 101-125 Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations
by Francis L. Huang
December 2021, Volume 46, Issue 6
- 651-681 Cross-Classified Random Effects Modeling for Moderated Item Calibration
by Seungwon Chung & Li Cai - 682-716 A Rating Scale Mixture Model to Account for the Tendency to Middle and Extreme Categories
by Roberto Colombi & Sabrina Giordano & Gerhard Tutz - 717-752 Detecting Noneffortful Responses Based on a Residual Method Using an Iterative Purification Process
by Yue Liu & Hongyun Liu - 753-775 Item Characteristic Curve Asymmetry: A Better Way to Accommodate Slips and Guesses Than a Four-Parameter Model?
by Xiangyi Liao & Daniel M. Bolt - 776-778 Acknowledgments
by N/A
October 2021, Volume 46, Issue 5
- 527-559 Design Considerations in Multisite Randomized Trials Probing Moderated Treatment Effects
by Nianbo Dong & Benjamin Kelcey & Jessaca Spybrook - 560-591 Adaptive Weight Estimation of Latent Ability: Application to Computerized Adaptive Testing With Response Revision
by Shiyu Wang & Houping Xiao & Allan Cohen - 592-610 Estimating Difference-Score Reliability in Pretest–Posttest Settings
by Zhengguo Gu & Wilco H. M. Emons & Klaas Sijtsma - 611-648 Monitoring Item Performance With CUSUM Statistics in Continuous Testing
by Yi-Hsuan Lee & Charles Lewis
August 2021, Volume 46, Issue 4
- 403-429 The Use of the Posterior Probability in Score Differencing
by Sandip Sinharay & Matthew S. Johnson - 430-465 On the Treatment of Missing Data in Background Questionnaires in Educational Large-Scale Assessments: An Evaluation of Different Procedures
by Simon Grund & Oliver Lüdtke & Alexander Robitzsch - 466-500 Ordinal Approaches to Decomposing Between-Group Test Score Disparities
by David M. Quinn & Andrew D. Ho - 501-518 A Practical Guide for Analyzing Large-Scale Assessment Data Using Mplus: A Case Demonstration Using the Program for International Assessment of Adult Competencies Data
by Takashi Yamashita & Thomas J. Smith & Phyllis A. Cummins - 519-522 A Review of Handbook of Item Response Theory: Vol. 1
by Peter F. Halpin
June 2021, Volume 46, Issue 3
- 271-296 Insights on Variance Estimation for Blocked and Matched Pairs Designs
by Nicole E. Pashley & Luke W. Miratrix - 297-322 A Class of Cognitive Diagnosis Models for Polytomous Data
by Xuliang Gao & Wenchao Ma & Daxun Wang & Yan Cai & Dongbo Tu - 323-347 Hybridizing Machine Learning Methods and Finite Mixture Models for Estimating Heterogeneous Treatment Effects in Latent Classes
by Youmi Suk & Jee-Seon Kim & Hyunseung Kang - 348-373 Testing the Within-State Distribution in Mixture Models for Responses and Response Times
by Renske E. Kuijpers & Ingmar Visser & Dylan Molenaar - 374-398 Testing Latent Variable Distribution Fit in IRT Using Posterior Residuals
by Scott Monroe
April 2021, Volume 46, Issue 2
- 135-137 Introduction to JEBS Special Issue on NAEP Linked Aggregate Scores
by Daniel F. McCaffrey & Steven A. Culpepper - 138-167 Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scale
by Sean F. Reardon & Demetra Kalogrides & Andrew D. Ho - 168-172 Commentary on Reardon, Kalogrides, and Ho’s “Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scaleâ€
by Daniel Bolt - 173-186 Commentary on “Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scaleâ€
by Mark L. Davison - 187-202 Aggregate-Level Test-Scale Linking: A New Solution for an Old Problem?
by Tim Moses & Neil J. Dorans - 203-208 Commentary on “Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scaleâ€
by Alina A. von Davier - 209-218 Validation Methods for Aggregate-Level Test Scale Linking: A Rejoinder
by Andrew D. Ho & Sean F. Reardon & Demetra Kalogrides - 219-243 The Bayesian Covariance Structure Model for Testlets
by Jean-Paul Fox & Jeremias Wenzel & Konrad Klotzke - 244-265 Estimation of Latent Regression Item Response Theory Models Using a Second-Order Laplace Approximation
by Björn Andersson & Tao Xin
February 2021, Volume 46, Issue 1
- 3-33 Using Pooled Heteroskedastic Ordered Probit Models to Improve Small-Sample Estimates of Latent Test Score Distributions
by Benjamin R. Shear & Sean F. Reardon - 34-57 A Bayesian Item Response Model for Examining Item Position Effects in Complex Survey Data
by Matthias Trendtel & Alexander Robitzsch - 58-84 Learning Attribute Hierarchies From Data: Two Exploratory Approaches
by Chun Wang & Jing Lu - 85-108 Sensitivity Analysis for Pretreatment Confounding With Multiple Mediators
by Soojin Park & Kevin M. Esterling - 109-132 Design-Based Covariate Adjustments in Paired Experiments
by Edward Wu & Johann A. Gagnon-Bartsch
December 2020, Volume 45, Issue 6
- 639-666 A Bayesian Nonparametric Latent Approach for Score Distributions in Test Equating
by Inés M. Varas & Jorge González & Fernando A. Quintana - 667-689 Detecting Compromised Items Using Information From Secure Items
by Xi Wang & Yang Liu - 690-718 Power Analysis for Two-Level Multisite Randomized Cost-Effectiveness Trials
by Wei Li & Nianbo Dong & Rebecca A. Maynard - 719-749 Identifying and Classifying Aberrant Response Patterns Through Functional Data Analysis
by Eduardo Doval & Pedro Delicado - 750-770 Confidence Intervals for Ratios of Means and Medians
by Douglas G. Bonett & Robert M. Price Jr. - 771-773 Acknowledgments
by N/A
October 2020, Volume 45, Issue 5
- 515-533 Conditional Subscore Reporting Using Iterated Discrete Convolutions
by Richard A. Feinberg & Matthias von Davier - 534-568 Assessing Fit of the Lognormal Model for Response Times
by Sandip Sinharay & Peter W. van Rijn - 569-597 Variational Bayes Inference for the DINA Model
by Kazuhiro Yamaguchi & Kensuke Okada - 598-636 Propensity Score Analysis With Latent Covariates: Measurement Error Bias Correction Using the Covariate’s Posterior Mean, aka the Inclusive Factor Score
by Trang Quynh Nguyen & Elizabeth A. Stuart
August 2020, Volume 45, Issue 4
- 383-402 IRT and MIRT Models for Item Parameter Estimation With Multidimensional Multistage Tests
by Paul A. Jewsbury & Peter W. van Rijn - 403-425 A Robust Test for Checking the Homogeneity of Variability Measures and Its Application to the Analysis of Implicit Attitudes
by Ryan C. Erps & Kimihiro Noguchi - 426-445 Causal Inference With Two Versions of Treatment
by Raiden B. Hasegawa & Sameer K. Deshpande & Dylan S. Small & Paul R. Rosenbaum - 446-474 Optimal Sample Allocation Under Unequal Costs in Cluster-Randomized Trials
by Zuchao Shen & Benjamin Kelcey - 475-506 Sensitivity Evaluation of Methods for Estimating Complier Average Causal Mediation Effects to Assumptions
by Soojin Park & Gregory J. Palardy - 507-511 Review of Handbook of Item Response Theory, Volume II: Statistical Tools
by Dylan Molenaar
June 2020, Volume 45, Issue 3
- 251-273 A Bias-Corrected RMSD Item Fit Statistic: An Evaluation and Comparison to Alternatives
by Carmen Köhler & Alexander Robitzsch & Johannes Hartig - 274-296 Bayesian Nonparametric Monotone Regression of Dynamic Latent Traits in Item Response Theory Models
by Yang Liu & Xiaojing Wang - 297-315 Full Information Optimal Scoring
by James Ramsay & Marie Wiberg & Juan Li - 316-338 Adaptive Pairwise Comparison for Educational Measurement
by Elise A. V. Crompvoets & Anton A. Béguin & Klaas Sijtsma - 339-368 On Longitudinal Item Response Theory Models: A Didactic
by Chun Wang & Steven W. Nydick - 369-373 A Review of Nonparametric Models for Longitudinal Data
by Sy-Miin Chow & Meng Chen - 374-378 A Review of Causality in a Social World: Moderation, Mediation, and Spill-Over
by Nianbo Dong & Benjamin M. Kelcey
April 2020, Volume 45, Issue 2
- 119-142 Variable Selection for Causal Effect Estimation: Nonparametric Conditional Independence Testing With Random Forests
by Bryan Keller - 143-174 Limitless Regression Discontinuity
by Adam C. Sales & Ben B. Hansen - 175-208 Online Calibration of a Joint Model of Item Responses and Response Times in Computerized Adaptive Testing
by Hyeon-Ah Kang & Yi Zheng & Hua-Hua Chang - 209-226 Scoring Tests With Contaminated Response Vectors
by Arnond Sakworawich & Howard Wainer - 227-248 Deep Learning With TensorFlow: A Review
by Bo Pang & Erik Nijkamp & Ying Nian Wu
February 2020, Volume 45, Issue 1
- 3-4 Editorial Statement
by Steven Andrew Culpepper - 5-31 The Reliability of the Posterior Probability of Skill Attainment in Diagnostic Classification Models
by Matthew S. Johnson & Sandip Sinharay - 32-57 Analyzing Grouped Administrative Data for RCTs Using Design-Based Methods
by Peter Z. Schochet - 58-85 A Fast and Simple Algorithm for Bayesian Adaptive Testing
by Wim J. van der Linden & Hao Ren - 86-107 A Scaled Threshold Model for Measuring Extreme Response Style
by Dirk Lubbe & Christof Schuster - 108-115 Review of Computerized Adaptive and Multistage Testing With R: Using Packages catR and mstR
by Leslie Rutkowski & Montserrat Valdivia
December 2019, Volume 44, Issue 6
- 647-647 Introduction to the Special Issue on Research and Development on Large-Scale Educational Assessment Programs
by Li Cai - 648-670 Research on Psychometric Modeling, Analysis, and Reporting of the National Assessment of Educational Progress
by Andreas Oranje & Andrew Kolstad - 671-705 Developments in Psychometric Population Models for Technology-Based Large-Scale Assessments: An Overview of Challenges and Opportunities
by Matthias von Davier & Lale Khorramdel & Qiwei He & Hyo Jeong Shin & Haiwen Chen - 706-732 Process Data in NAEP: Past, Present, and Future
by Yoav Bergner & Alina A. von Davier - 733-751 Toward Education Quality Improvement in China: A Brief Overview of the National Assessment of Education Quality
by Yu Jiang & Jiahui Zhang & Tao Xin - 752-781 TIMSS 2015: Illustrating Advancements in Large-Scale International Assessments
by Michael O. Martin & Ina V.S. Mullis - 782-784 Acknowledgments
by N/A
October 2019, Volume 44, Issue 5
- 507-542 School Differences in Social–Emotional Learning Gains: Findings From the First Large-Scale Panel Survey of Students
by Susanna Loeb & Michael S. Christian & Heather Hough & Robert H. Meyer & Andrew B. Rice & Martin R. West - 543-570 More Than One Replication Study Is Needed for Unambiguous Tests of Replication
by Larry V. Hedges & Jacob M. Schauer - 571-596 Writing Process Differences in Subgroups Reflected in Keystroke Logs
by Hongwen Guo & Mo Zhang & Paul Deane & Randy E. Bennett - 597-624 Latent Variable Regression Four-Level Hierarchical Model Using Multisite Multiple-Cohort Longitudinal Data
by Kilchan Choi & Jinok Kim