Psychometric & Computational Modeling Lab
심리측정 및 계산 모델링 연구실
The global aim of our lab is to tackle various issues in psychological measurement and data analysis based on integrations of psychometric models and cognitive decision-making theories to delve into psychological processes underlying responses, response times, and other behavioral measures. Currently, we focus on
generalized latent variable models integrated with perceptual and cognitive decision-making theories,
modeling conditional dependence between responses and response times with the diffusion process and the latent space modeling, and
joint modeling of multi-modal data.
Interested students are welcome to check the lab pages for ongoing/potential research topics!
News (2024)
A new paper is out! "A Recent Development of a Network Approach to Assessment Data: Latent Space Item Response Modeling for Intelligence Studies" (with MJ at UCLA), in the journal of intelligence.
2024/03/12 The lab started a semester workshop with six promising undergraduate trainees! (임구, 소현, 은우, 승찬, 명지, 오름)
2024/02/29 Inhan won the 2023 Yonsei Teaching Excellence Award (2023 우수강의교수상)!
News (2023)
2023/07/25 Inhan made his dissertation award presentation entitled "A Trilogy of Modeling Conditional Dependence in and between Responses and Response Times" at the 2023 International Meetings of Psychometric Society (IMPS)
Two in a row! Another new paper entitled "A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times" (with MJ at UCLA and Ivailo at Cito) has been published in Psychometrika.
A new paper entitled "A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data" (with Dylan at UvA and Roger at OSU) has been published in Psychometrika.
Inhan joined the Department of Psychology at Yonsei University (https://psychsci.yonsei.ac.kr/, in Korean), as an assistant professor (March 2023)
Inhan won the 2023 Psychometric Society Dissertation Prize!