36 citations · 65 across the 9 of their papers we have counts for
9 papers
A latent process model for monitoring progress towards hard-to-measure targets, with applications to mental health and online educational assessments
Minjeong Jeon, Michael Schweinberger
The recent shift to remote learning and work has aggravated long-standing problems, such as the problem of monitoring the mental health of individuals and the progress of students…
Comparing multiple latent space embeddings using topological analysis
Kisung You, Ilmun Kim, Ick Hoon Jin +2
The latent space model is one of the well-known methods for statistical inference of network data. While the model has been much studied for a single network, it has not attracted…
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…
Mapping unobserved item-respondent interactions: A latent space item response model with interaction map
Minjeong Jeon, Ick Hoon Jin, Michael Schweinberger +1
Classic item response models assume that all items with the same difficulty have the same response probability among all respondents with the same ability. These assumptions, howev…
Bayesian Shrinkage for Functional Network Models, with Applications to Longitudinal Item Response Data
Jaewoo Park, Yeseul Jeon, Minsuk Shin +2
Longitudinal item response data are common in social science, educational science, and psychology, among other disciplines. Studying the time-varying relationships between items is…
Applying the Network Item Response Model to Student Assessment Data
Alex Brodersen, Ick Hoon Jin, Ying Cheng +1
This study discusses an alternative tool for modeling student assessment data. The model constructs networks from a matrix item responses and attempts to represent these data in lo…
Multilevel Network Item Response Modeling for Discovering Differences Between Innovation and Regular School Systems in Korea
Ick Hoon Jin, Minjeong Jeon, Michael Schweinberger +2
The innovation school system in South Korea has been developed in response to the traditional high-pressure school system in South Korea, with a view to cultivating a bottom-up and…
A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data
Ick Hoon Jin, Minjeong Jeon
Item response theory (IRT) models explain an observed item response as a function of a respondent's latent trait and the item's property. IRT is one of the most widely utilized too…