About

About

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Yonggi Kim

Education

M.A. in Psychology

  • August 2026, Department of Psychology, Chungbuk National University
  • Dissertation: Local Dependence in Psychological Scales
  • Advisor: Wooyeol Lee, Ph. D.

B.A. in Psychology & Brain and Cognitive Engineering

  • August 2025, Department of Psychology, Chungbuk National University

Research Interests

My research focuses on generalized latent variable modeling for estimating and explaining individual differences across diverse measurement contexts. A current concern is how the metric and continuum of continuous latent variables are defined in item response theory and what practical consequences follow when functional-form assumptions are violated.

More broadly, I am interested in psychometric issues surrounding the measurement of psychological constructs. These include how validity and reliability are conceptualized in classical test theory and factor analysis. Within the item response theory framework, my interests extend to optimal test design, scoring, linking and equating, and differential item functioning.

I am also interested in the philosophy of measurement, particularly the philosophical issues and axiomatic systems concerned with establishing the equal-interval property of measurement scales.

Publications

2025

Kim, Y., & Lee, W. (2025). Shape of the null distribution in the likelihood ratio test for selecting random effects structures in experimental data analysis. Korean Journal of Psychology: General, 44(1), 1-23. https://doi.org/10.22257/kjp.2025.3.44.1.1

Manuscripts

Kim, Y., & Lee, W. (under review). Consequences of model misspecification when the shape of the item information function is bimodal.

Conference Presentations

2026

Kim, Y., & Lee, W. (2026, August). Measurement invariance in cross-culutral comparsions of the Big Five: A comparsion of scoring and linking methods [Poster session]. Korean Psychology Association 80th Anniversary Annual Conference 2026, Seoul, Republic of Korea.

Kim, Y., & Han, Y. (2026, July). Comparing permutation methods for evaluating multidimensional scaling configuration similarity [Poster session]. International Meeting of the Psychometric Society (IMPS) 2026, Seoul, Republic of Korea.

Kim, Y., & Lee, W. (2026, April). Effects of model misspecification on abilities in the presence of item complexity [Graduate student e-board session]. National Council on Measurement in Education (NCME) Annual Meeting 2026, Los Angeles, CA, USA.

Teaching Experience

Teaching Assistant

  • August 2025 to August 2026, Department of Psychology, Chungbuk National University

Awards

2026

Paper Presentation Award (Representative Awardee)

  • August 2026, Korean Psychological Association 80th Anniversary Annual Conference

Outstanding Academic Research Award (Research Presentation Category)

  • June 2026, Department of Psychology, Chungbuk National University

Selected Participant (Graduate Student Works-In-Progress eBoard Competition)

  • February 2026, 2025-2026 NCME Graduate Student Issues Committee

2025

Outstanding Academic Research Award (Thesis Presentation Category)

  • December 2025, Department of Psychology, Chungbuk National University

Junior BK Fellowship (Outstanding Paper Scholarship)

  • April 2025, Chungbuk National University

Technical Skills

I primarily use R for data analysis and Monte Carlo simulation. Key packages include mirt (custom item response functions via createItem), lavaan (measurement and structural models, mediation analysis), lme4 (generalized linear mixed-effects models for multilevel and longitudinal data), brms (Bayesian estimation for generalized linear mixed-effects models), and galamm (generalized latent variable modeling). I am also familiar with Stan and JAGS for Bayesian parameter estimation. For Monte Carlo simulations, I usually use expand.grid, apply/map, and the tidyverse to generate simulation conditions, iterate across them, and summarize results.

Relevant Coursework

Graduate Courses (Advisor: Wooyeol Lee, Ph. D.)

  • Categorical Data Analysis
  • Item Response Theory
  • Bayesian Statistics
  • Issues in Regression Analysis
  • Multilevel Modeling

Workshops (Korean Society of Psychological Measurement and Assessment)

  • Designing Regression Analysis and Understanding the Results
  • Multilevel Modeling
  • Experimental Design and Analysis of Variance
  • Mixture Model
  • Survival Analysis
  • Structural Equation Modeling
  • Longitudinal Study
  • Item Response Theory and Computer Adaptive Testing

Certifications

Advanced Data Analytics Semi-Professional

  • August 2026, Korea Data Agency