This section highlights my research outputs including manuscripts under review, published work, and conference presentation. In other words: what happens after the model converges.
This section highlights my research outputs including manuscripts under review, published work, and conference presentation. In other words: what happens after the model converges.
He, S, & Lee, W. (under review). Dynamic Multilevel Location–Scale Models for evaluating dynamic treatment effects in Intensive Longitudinal Data. Multivariate Behavioral Research
He, S, & Lee, W. (2022). Generalized linear mixed models for studies using different sets of stimuli across conditions. Frontiers in Psychology. 13 doi: 10.3389/fpsyg.2022.955722
2024.09–2025.05, “Comparison of multidimensional scaling results according to data characteristics: Similarity and proximity data” (PI: Wooyeol Lee), Researcher, funded by the National Research Foundation of Korea
2022.03–2023.06, “Predicting suicidal crisis: converging evidence from a population-based cohort study and cognitive control experiments” (PI: Sungeun You), Researcher, funded by the National Research Foundation of Korea
He, S, & Lee, W (2025, April). Evaluating Dynamic Treatment Effects via Random Residual Variance in DSEM: A Simulation Study [poster session]. Korean Society for Psychological Measurement and Assessment – 2025 Spring Conference, Seoul, South Korea.
He, S, & Lee, W (2024, August). Importance of Random Residual Variance in the Dynamic Structural Equation Modeling (DSEM) Framework [poster session]. American Psychological Association 2024 Convention, Seattle, WA, United States.
He, S, & Lee, W (2023, February). Establishment of experimental stimulus effects in a generalized linear mixed-effects model [paper presentation]—the 2nd BK21 Project Group (Team) Regional University Psychology Department Joint Academic Conference.
He, S. (2022, June). Dynamic structural equation model (DSEM) for Ecological Momentary Assessment [paper presentation]. The Psychological Resolution of BK21 Social Inequality in 2022: EQUALS Summer Academic Study Presentation. [Presentation Excellence Award]
He, S, & Lee, W. (2021, December). Generalized linear mixed-effects model for experimental designs having non-repeated items [paper presentation]. The Psychological Resolution of BK21 Social Inequality in 2021: EQUALS Winter Academic Study Presentation.
He, S, & Lee, W. (2021, April). Results of ignoring the heterogeneity due to the random effect of the item [poster session]. The 2021 online spring conference of the Korean Society of Psychological Measurement and Assessment. [Presentation Excellence Award]
He, S., Kim, Y., Lee, W., Han, Y. (Manuscript in preparation). Recent Extensions of Item Response Theory (IRT) Models.
This project focuses on how extended Item Response Theory (IRT) models can be applied in clinical psychology to capture individual differences and complex measurement structures.
He, S., & Han, Y. (in progress). Evaluating the Interchangeability of INDSCAL and Unfolding Models.
This project examines the relationship between INDSCAL and Unfolding models in modeling perceptual and preference data, assessing their similarities, differences, and the conditions under which they yield comparable results.
He, S., & Lee, W. (in progress). APIM in the Dynamic Structural Equation Modeling.
This project employs the Actor–Partner Interdependence Model (APIM) within the Dynamic Structural Equation Modeling (DSEM) framework to analyze dyadic intensive longitudinal data, offering comparisons with traditional SEM to guide applied researchers.
He, S., & Lee, W. (in progress). Modeling residual variance as a predictor: A new perspective.
He, S., Han, Y. & Lee, W. (in progress). Validity study: A meta-analysis.
Lee, S., He, S., Ahn, J.K. (Manuscript in preparation). Evaluating social anxiety interventions using multilevel models.
Kim, J., He, S., You, S. (in progress). Network analysis of psychological symptoms.
Kim, S.H., He, S., Lee, W., You, S. (in progress). Machine Learning for suicide risk prediction
He, S., & Lee, W. 2023.09–2024.08, Importance of Random Residual Variance in the Dynamic Structural Equation Modeling (DSEM) Framework(APA).
He, S., & Lee, W. 2022.01 – 2023.08, “Introduction to Dynamic Structural Equation Models for Ecological Momentary Assessment Data”, Master's topic.
He, S., & Lee, W. 2021 – 2022, “Generalized linear mixed-effects model for experimental designs having non-repeated items,” published in Frontiers in Psychology.