4 citations · 5 across the 12 of their papers we have counts for
13 papers
Modeling Transition Dynamics and Network Structure in Cross-National Process Data: A Hierarchical Multi-State Survival Framework
Doungjun Kim, Daeun Hwangbo, Minjeong Jeon +1
Process data from computer-based assessments record the sequence and timing of actions through which respondents solve a task, providing information about both the pace and structu…
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…
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…
Network-based Topic Structure Visualization
Yeseul Jeon, Jina Park, Ick Hoon Jin +1
In the real world, many topics are inter-correlated, making it challenging to investigate their structure and relationships. Understanding the interplay between topics and their re…
Impacts of Innovation School System in Korea: A Latent Space Item Response Model with Neyman-Scott Point Process
Seorim Yi, Minkyu Kim, Jaewoo Park +2
South Korea's educational system has faced criticism for its lack of focus on critical thinking and creativity, resulting in high levels of stress and anxiety among students. As pa…
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…
A Latent Space Accumulator Model for Response Time: Applications to Cognitive Assessment Data
Ick Hoon Jin, Jonghyun Yun, Hyunjoo Kim +1
Response time has attracted increased interest in educational and psychological assessment for, e.g., measuring test takers' processing speed, improving the measurement accuracy of…
How social networks influence human behavior: An integrated latent space approach for differential social influence
Jina Park, Ick Hoon Jin, Minjeong Jeon
How social networks influence human behavior has been an interesting topic in applied research. Existing methods often utilized scale-level behavioral data to estimate the influenc…
Network-based Topic Interaction Map for Big Data Mining of COVID-19 Biomedical Literature
Yeseul Jeon, Dongjun Chung, Jina Park +1
Since the emergence of the worldwide pandemic of COVID-19, relevant research has been published at a dazzling pace, which yields an abundant amount of big data in biomedical litera…