6 papers
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…
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…
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…
Analysis of Log Data from an International Online Educational Assessment System: A Multi-state Survival Modeling Approach to Reaction Time between and across Action Sequence
Jina Park, Ick Hoon Jin, Minjeong Jeon
With increasingly available computer-based or online assessments, researchers have shown keen interest in analyzing log data to improve our understanding of test takers' problem-so…
lsirm12pl: An R package for latent space item response modeling
Dongyoung Go, Gwanghee Kim, Jina Park +3
The item response model in latent space (LSIRM; Jeon et al., 2021) uncovers unobserved interactions between respondents and items in the item response data by embedding both in a s…