Hierarchical Latent Space Item Response Model for Analyzing Mental Health Vulnerability of Elementary School Students in South Korea
Fuente:
arXiv
Guardado en:
| Autores principales: | Park, Soyeon, Shin, Seoyoung, Jeon, Minjeong, Kim, Hyoun Kyoung, Jin, Ick Hoon |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data
por: Jin, Ick Hoon, et al.
Publicado: (2016)
por: Jin, Ick Hoon, et al.
Publicado: (2016)
Impacts of Innovation School System in Korea: A Latent Space Item Response Model with Neyman-Scott Point Process
por: Yi, Seorim, et al.
Publicado: (2023)
por: Yi, Seorim, et al.
Publicado: (2023)
Analyzing Process Data from Computer-Based Assessments: A Tutorial on Preprocessing, Feature Extraction, and Model-Based Inference
por: Hwangbo, Daeun, et al.
Publicado: (2026)
por: Hwangbo, Daeun, et al.
Publicado: (2026)
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
por: Park, Jina, et al.
Publicado: (2024)
por: Park, Jina, et al.
Publicado: (2024)
How social networks influence human behavior: An integrated latent space approach for differential social influence
por: Park, Jina, et al.
Publicado: (2021)
por: Park, Jina, et al.
Publicado: (2021)
Issue-Specific Polarization and Cohesion in a Multi-Party Legislature: Integrating the Latent Space Item Response Model with Topic-Based Regression
por: Lee, Seungju, et al.
Publicado: (2026)
por: Lee, Seungju, et al.
Publicado: (2026)
Constructing Reliable Social Networks from Conversational Data: An Ensemble Prompt Engineering Approach with Uncertainty Quantification
por: Kim, Gwanghee, et al.
Publicado: (2025)
por: Kim, Gwanghee, et al.
Publicado: (2025)
Network-based Topic Structure Visualization
por: Jeon, Yeseul, et al.
Publicado: (2024)
por: Jeon, Yeseul, et al.
Publicado: (2024)
Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models
por: Lee, Seungju, et al.
Publicado: (2025)
por: Lee, Seungju, et al.
Publicado: (2025)
Estimating Racial and Ethnic Healthcare Quality Disparities Using Exploratory Item Response Theory and Latent Class Item Response Theory Models
por: Normand, Sharon-Lise, et al.
Publicado: (2023)
por: Normand, Sharon-Lise, et al.
Publicado: (2023)
Spatial Two-Stage Hierarchical Optimization Analysis for Site Selection of Bitcoin Mining in South Korea
por: Choi, Yoonseul, et al.
Publicado: (2025)
por: Choi, Yoonseul, et al.
Publicado: (2025)
Quantifying Signal-to-Noise Ratio in Neural Latent Trajectories via Fisher Information
por: Jeon, Hyungju, et al.
Publicado: (2024)
por: Jeon, Hyungju, et al.
Publicado: (2024)
$\ell_0$-Regularized Item Response Theory Model for Robust Ideal Point Estimation
por: Seo, Kwangok, et al.
Publicado: (2025)
por: Seo, Kwangok, et al.
Publicado: (2025)
Dependencies in Item-Adaptive CAT Data and Differential Item Functioning Detection: A Multilevel Framework
por: Kaptur, Dandan Chen, et al.
Publicado: (2024)
por: Kaptur, Dandan Chen, et al.
Publicado: (2024)
Robust Estimation of Item Parameters via Divergence Measures in Item Response Theory
por: Itaya, Yuki, et al.
Publicado: (2025)
por: Itaya, Yuki, et al.
Publicado: (2025)
Latent Space Data Fusion Outperforms Early Fusion in Multimodal Mental Health Digital Phenotyping Data
por: Barkat, Youcef, et al.
Publicado: (2025)
por: Barkat, Youcef, et al.
Publicado: (2025)
Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
por: Xu, Tianchen, et al.
Publicado: (2023)
por: Xu, Tianchen, et al.
Publicado: (2023)
Latent Space-based Stochastic Model Updating
por: Lee, Sangwon, et al.
Publicado: (2024)
por: Lee, Sangwon, et al.
Publicado: (2024)
A Dynamic Latent Space Model for Healthcare Mobility Networks: the Italian National Health Service case
por: Manente, Cecilia, et al.
Publicado: (2026)
por: Manente, Cecilia, et al.
Publicado: (2026)
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data
por: Liu, Yang, et al.
Publicado: (2023)
por: Liu, Yang, et al.
Publicado: (2023)
Examining Differential Item Functioning (DIF) in Self-Reported Health Survey Data: Via Multilevel Modeling
por: Kaptur, Dandan Chen, et al.
Publicado: (2024)
por: Kaptur, Dandan Chen, et al.
Publicado: (2024)
Climate Vulnerability and Community Health: Identifying Greensboro Neighborhoods at Intersectional Risk
por: Usman, Rehinatu, et al.
Publicado: (2026)
por: Usman, Rehinatu, et al.
Publicado: (2026)
Creating a Spatial Vulnerability Index for Environmental Health
por: Price, Aiden, et al.
Publicado: (2024)
por: Price, Aiden, et al.
Publicado: (2024)
Analyzing Residential Speeding Using Connected Vehicle Data: A Case Study in Charlottesville, VA Area
por: Feng, Shi, et al.
Publicado: (2026)
por: Feng, Shi, et al.
Publicado: (2026)
Vine Copulas for Analyzing Multivariate Conditional Dependencies in Electronic Health Records Data
por: Samad, Manar D., et al.
Publicado: (2026)
por: Samad, Manar D., et al.
Publicado: (2026)
Modeling U.S. Mortality and Suicide Rates by Integrating Mental Health and Socio-Economic Indicators
por: Weaver, Brianne, et al.
Publicado: (2025)
por: Weaver, Brianne, et al.
Publicado: (2025)
Reducing Differential Item Functioning via Process Data
por: Chen, Ling, et al.
Publicado: (2025)
por: Chen, Ling, et al.
Publicado: (2025)
Generalized method of L-moment estimation for stationary and nonstationary extreme value models
por: Shin, Yonggwan, et al.
Publicado: (2025)
por: Shin, Yonggwan, et al.
Publicado: (2025)
Hierarchical Latent Class Models for Mortality Surveillance Using Partially Verified Verbal Autopsies
por: Zhu, Yu, et al.
Publicado: (2024)
por: Zhu, Yu, et al.
Publicado: (2024)
Federated Item Response Models: A Gradient-driven Privacy-preserving Framework for Distributed Psychometric Estimation
por: Zhou, Biying, et al.
Publicado: (2025)
por: Zhou, Biying, et al.
Publicado: (2025)
Modeling climate extremes using the four-parameter kappa distribution for $r$-largest order statistics
por: Shin, Yire, et al.
Publicado: (2020)
por: Shin, Yire, et al.
Publicado: (2020)
Generalized logistic model for $r$ largest order statistics, with hydrological application
por: Shin, Yire, et al.
Publicado: (2024)
por: Shin, Yire, et al.
Publicado: (2024)
DIF Analysis with Unknown Groups and Anchor Items
por: Wallin, Gabriel, et al.
Publicado: (2023)
por: Wallin, Gabriel, et al.
Publicado: (2023)
lsirm12pl: An R package for latent space item response modeling
por: Go, Dongyoung, et al.
Publicado: (2022)
por: Go, Dongyoung, et al.
Publicado: (2022)
Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration
por: Brantner, Carly L., et al.
Publicado: (2025)
por: Brantner, Carly L., et al.
Publicado: (2025)
Does a Large Language Model Really Speak in Human-Like Language?
por: Park, Mose, et al.
Publicado: (2025)
por: Park, Mose, et al.
Publicado: (2025)
Elementary econometric and strategic analysis of curling matches
por: Fry, John, et al.
Publicado: (2024)
por: Fry, John, et al.
Publicado: (2024)
DIF Statistical Inference without Knowing Anchoring Items
por: Chen, Yunxiao, et al.
Publicado: (2021)
por: Chen, Yunxiao, et al.
Publicado: (2021)
Multiple Imputation of Hierarchical Nonlinear Time Series Data with an Application to School Enrollment Data
por: Liu, Daphne H., et al.
Publicado: (2024)
por: Liu, Daphne H., et al.
Publicado: (2024)
Analyzing and Predicting Student Performance in Discrete Mathematics Using Supervised Learning Algorithms
por: Mohammad Salah Uddin
Publicado: (2025)
por: Mohammad Salah Uddin
Publicado: (2025)
Ejemplares similares
-
A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data
por: Jin, Ick Hoon, et al.
Publicado: (2016) -
Impacts of Innovation School System in Korea: A Latent Space Item Response Model with Neyman-Scott Point Process
por: Yi, Seorim, et al.
Publicado: (2023) -
Analyzing Process Data from Computer-Based Assessments: A Tutorial on Preprocessing, Feature Extraction, and Model-Based Inference
por: Hwangbo, Daeun, et al.
Publicado: (2026) -
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
por: Park, Jina, et al.
Publicado: (2024) -
How social networks influence human behavior: An integrated latent space approach for differential social influence
por: Park, Jina, et al.
Publicado: (2021)