KU StatLab - Theses and Dissertations

Department of Statistics, Korea University

PhD Dissertation:

1. 김영선 (2024) Structural Modeling for Multiple Latent Class Variables 

Master Theses (In English):

• 1. 박예성 (2025) Latent Class Profile Analysis with Three-Step Approach

  2. 김지원 (2025) Bayesian Approach to Multilevel Latent Class Analysis

  3. 김보승 (2024) Multilevel Topic Model with Group-level Covariates: An Application to Topic Dependency of Political Column Corpus

  4. 표지우 (2024) Joint Latent Class Tree with Covariates

  5. 윤아연 (2023) Joint Latent Class Tree: An Application to Adolescents Risk Behaviors.

  6. 명재성 (2022) Personalized Recommender System Using LDA.

  7. 최혁진 (2021) Latent Class Analysis for Ordinal Data.

  8. 장유형 (2021) Comparison of Estimation Methods for Multivariate Latent Class-Profile Analysis. 

  9. 이태연 (2021) Random-Effect Latent Class Profile Analysis: An Application to the Childhood Asthma Prevention Study.

  10. 이윤아 (2020) Multilevel Latent Class Profile Analysis: An Application to the Sequential Pattern of Adolescents Alcohol Use in Canada.

  11. 서태석 (2018) Joint Latent Class Profile Analysis for Multi-dimensional Longitudinal data: A Study on the Substance Use Progression.

  12. 이윤정 (2018) Dealing with Label Switching for Multi-level Mixture Model.

  13. 김은아 (2017) Joint Latent Class Analysis for Longitudinal Data :An Application on Aspects of Adolescent Functioning in Family Contexts.

  14. 이정운 (2017) Discrete Latent Variable Modeling: An Application to Adolescent Violence and Substance Use Behavior.

  15. 이연하 (2016) Latent Class Analysis with Multiple Latent Groups: Patterns of Substance Uses and Suicidality among White Male High School Students in USA.

  16. 박범성 (2016) A Bayesian Approach to a Joint Latent Class Analysis.

  17. 최형 (2015) The Inference and Estimation for Latent Class Profile Analysis with Small Sample.

  18. 김창현 (2015) Joint Latent Class Analysis with Covariates.

  19. 김형규 (2015) Estimating Average Causal Effect in Latent Class Analysis.

  20. 김민진 (2015) Joint Latent Class Analysis: The Identification of the Joint Patterns of Delinquent Behaviors and Substance Use of the US High School Students in Grade 12.

Master Theses (In Korean):

• 1. 조하영(2018) 잠재범주프로파일모형에서의 삼단계 다중대체방법.

  2. 하수경 (2018) 잠재범주분석에서의 인과효과 추론에 관한 모의실험 연구.

  3. 권범 (2017) 잠재범주분석에서의 인과효과 추론 연구.

  4. 이미솔 (2017) 잠재범주분석에서 인과효과 추론을 위한 모의실험 연구.

  5. 박가영 (2014) 잠재범주분석을 이용한 원인적 영향력 추론에 관한 연구.

  6. 함지혜 (2014) 잠재범주분석에서의 표본 크기 결정 방법에 대한 고찰.

Department of Statistics, Ewha Womans University:

Master Theses (In Korean):

• 1. 홍수연 (2013) 잠재변수분석 LCA와 LPA를 이용한 취업 장애인의 직업만족도에 대한 연구.

  2. 홍정화 (2013) 요인분석과 잠재범주분석, 잠재추이분석을이용한청소년 스트레스 패턴 분석.

  3. 고소진 (2012) 요인분석과 잠재범주분석을 이용한 청소년 게임중독 분석.

  4. 김수민 (2012) 잠재범주모형과 로지스틱 회귀모형을 이용한 청소년 위험행동 분석.

  5. 송한이 (2012) 패널자료와 LCA기법을 이용한 청소년 비행패턴 예측.

  6. 이하영 (2011) 성장곡선 모형을 이용한 영화의 수요예측.

Department of Statistics and Probability, Michigan State University:

PhD Dissertation:

• 1. Chang, Hsiu-Ching (2011) Latent Class Profile Analysis: Inference, Estimation, and Its Applications.

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