5 papers
A Representation-Learning Item Response Model for Identifying Behaviorally Important Actions in PIAAC Process Data
Junyeong Park, Daeun Hwangbo, Seyoung Park +2
Problem-solving log process data from computer-based assessments provide detailed information about how respondents approach and complete tasks. However, the resulting action seque…
Analyzing Process Data from Computer-Based Assessments: A Tutorial on Preprocessing, Feature Extraction, and Model-Based Inference
Daeun Hwangbo, Junyeong Park, Minjeong Jeon +1
Computer-based assessments routinely generate detailed interaction logs -- commonly referred to as process data -- that record every action a respondent performs during task comple…
Hierarchical Latent Space Item Response Model for Analyzing Mental Health Vulnerability of Elementary School Students in South Korea
Soyeon Park, Seoyoung Shin, Minjeong Jeon +2
Mental health difficulties among elementary school students represent a growing public health concern in South Korea, yet analytical tools for identifying school-specific vulnerabi…
Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models
Seungju Lee, In Kyun Kim, Jong Hee Park +1
Conventional ideal point models rely on Gaussian or quadratic utility functions that violate the triangle inequality, producing non-metric distances that complicate geometric inter…
Constructing Reliable Social Networks from Conversational Data: An Ensemble Prompt Engineering Approach with Uncertainty Quantification
Gwanghee Kim, Ick Hoon Jin, Minjeong Jeon
Conversational data are central to the study of interaction dynamics and social structures across psychological research. However, constructing structured social networks from unst…