Application Reviews and Case Studies (ARCS)
In this topical collection (25 articles)
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Application Reviews and Case Studies
Bayesian Dynamic Borrowing of Historical Information with Applications to the Analysis of Large-Scale Assessments
David Kaplan, Jianshen Chen, Sinan Yavuz, Weicong Lyu Pages 1-30 -
Application Reviews and Case Studies (ARCS)
Modeling Intensive Polytomous Time-Series Eye-Tracking Data: A Dynamic Tree-Based Item Response Model
Sun-Joo Cho, Sarah Brown-Schmidt, Paul De Boeck, Jianhong Shen Pages 154-184 -
Application Reviews and Case Studies
Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes
Esther Ulitzsch, Qiwei He, Vincent Ulitzsch, Hendrik Molter… Pages 190-214 -
Application Reviews and Case Studies
On the Quantification of Model Uncertainty: A Bayesian Perspective
David Kaplan Pages 215-238 -
Application Reviews and Case Studies
Multidimensional Item Response Theory in the Style of Collaborative Filtering
Yoav Bergner, Peter Halpin, Jill-Jênn Vie Pages 266-288 -
Application Reviews and Case Studies
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data
Meredith Langi, Minjeong Jeon Pages 332-356 -
Application Reviews and Case Studies
On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence
Domingo Morales, Joscha Krause, Jan Pablo Burgard Pages 344-368 -
Application Reviews and Case Studies
Trivariate Theory of Mind Data Analysis with a Conditional Joint Modeling Approach
Minjeong Jeon, Paul De Boeck, Xiangrui Li, Zhong-Lin Lu Pages 398-436 -
Application Reviews and Case Studies
Students’ Complex Problem Solving Profiles
Michela Gnaldi, Silvia Bacci, Thiemo Kunze, Samuel Greiff Pages 469-501 -
Application Reviews and Case Studies
Certainty-Based Marking on Multiple-Choice Items: Psychometrics Meets Decision Theory
Qian Wu, Monique Vanerum, Anouk Agten, Andrés Christiansen… Pages 518-543 -
Application Reviews and Case Studies
A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data
Esther Ulitzsch, Steffi Pohl, Lale Khorramdel, Ulf Kroehne… Pages 593-619 -
Application Reviews and Case Studies
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data
Joachim Büschken, Ulf Böckenholt, Thomas Otter, Daniel Stengel Pages 620-665 -
Application Reviews and Case Studies
Modeling Eye Movements During Decision Making: A Review
Michel Wedel, Rik Pieters, Ralf van der Lans Pages 697-729 -
Application Reviews and Case Studies
Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation
Björn E. Hommel, Franz-Josef M. Wollang, Veronika Kotova, Hannes Zacher… Pages 749-772 -
Application Reviews and Case Studies
Latent Theme Dictionary Model for Finding Co-occurrent Patterns in Process Data
Guanhua Fang, Zhiliang Ying Pages 775-811 -
Application Reviews and Case Studies
A Dyadic IRT Model
Brian Gin, Nicholas Sim, Anders Skrondal, Sophia Rabe-Hesketh Pages 815-836 -
Application Reviews and Case Studies
A Guide for Sparse PCA: Model Comparison and Applications
Rosember Guerra-Urzola, Katrijn Van Deun, Juan C. Vera, Klaas Sijtsma Pages 893-919 -
Application Reviews and Case Studies
Noncompensatory MIRT For Passage-Based Tests
Nana Kim, Daniel M. Bolt, James Wollack Pages 992-1009 -
Application Reviews and Case Studies
Pursuing Collective Synchrony in Teams: A Regime-Switching Dynamic Factor Model of Speed Similarity in Soccer
Daniel M. Smith, Theodore A. Walls Pages 1016-1038 -
Application Reviews and Case Studies
ProcData: An R Package for Process Data Analysis
Xueying Tang, Susu Zhang, Zhi Wang, Jingchen Liu, Zhiliang Ying Pages 1058-1083
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