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Response Process Data Analysis
Thu, April 21, 11:30am to 1:00pm PDT (11:30am to 1:00pm PDT), Manchester Grand Hyatt, Floor: 2nd Level, Harbor Tower, Harbor Ballroom BSession Type: Paper Session
Abstract
Response process data provides an additional source of information to the outcome data in understanding test takers' problems solving process. In this session, new modeling techniques are proposed to analyze a variety of response process data, including response time, eye-movement and log file data.
Sub Unit
Chair
Papers
The Speed-Accuracy Hierarchical Models for TIMSS 2019 Math Items - Jihang Chen, Boston College; Zhushan Mandy Li, Boston College; Matthias Von Davier, Boston College
Evaluating Consistency of Behavioral Patterns Across Multiple Tasks Using Process Data: An Empirical Study in PIAAC - Qiwei He, Educational Testing Service; Dandan Liao, Cambium Assessment, Inc.; Hok Kan Ling; Hong Jiao, University of Maryland-College Park
One-Parameter Dynamic Choice Measurement Model for Process Data - Yue Xiao, Beijing Normal University; Hongyun Liu
Sequential Response Model With Covariates (SRM-C): Assessing Item Recovery in Process Data Analysis - Yuting Han, Peking University; Hongyun Liu
Understanding Simulation-Type Items Using Eye Movement and Log-File Data - Paula Lehane, Dublin City University; Michael O'Leary, Dublin City University; Darina Scully, Dublin City University