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Session Type: Paper Session
Recent technology advances allow big data and innovative methodologies applied in educational measurement. This session illustrate several methodologies in psychometric evaluations, estimations, adaptive testing, and classifications.
Network Analysis for Factor Score Estimation: Supervised and Unsupervised Scenario - Jinying Ouyang, Peking University; Zhehan Jiang, Peking University; Lingling Xu, Hangzhou Normal University; Fen Cai, Peking University; Haiying Liang, University College London
Fine-Tuning a Pretrained Language Model to Classify Student Writing Exercises for Self-Affirming Attributes - Cong Ye, American Institutes for Research; Trisha Borman, Measured Decisions, Inc.; Geoffrey D. Borman, Arizona State University
The Choice of Item Selection Strategies and Termination Criteria in Grid Multidimensional Computerized Classification Test - BoHsien Hu, National Sun Yat-sen University; Tian-Hsiang Liu; Ching-Lin Shih, National Sun Yat-Sen University
Increasing Diagnosticity of Low-Stakes Tests With Adaptive Testing - Yun Leng Wong, University of Minnesota; Joseph N. DeWeese, University of Minnesota; Jiayi Deng, HumRRO; Mark L. Davison, University of Minnesota
Evaluating Model Fit in Bayesian IRT With Small Samples - Jihang Chen, Boston College; Zhushan Mandy Li, Boston College