Email

se-kang.kim@bcm.edu

Positions

Professor

Pediatrics - Psychology
Baylor College of Medicine
Houston, US

Addresses

1102 Bates Ave Ste 940 (Office)

Houston, TX 77030
United States
Phone: (832) 822-3645
Se-Kang.Kim@bcm.edu

Education

PhD from University of Minnesota

09/1999 - Twin Cities, Minnesota United States

Statistics, Psychometrics

MA from University of Toledo

09/1994 - Toledo, Ohio United States

Psychology, Personality & Social Psychology

Professional Statement

Professor Se-Kang Kim participates in the development and application of sophisticated statistical methodologies. Present research interests include profile analysis for continuous data and correspondence analysis for categorical data. Correspondence analysis is intended to estimate association visually and quantitatively between any pair of categories included in a two-or multiway-contingency table. Profile analysis is intended to detect the central response patterns from a sample of various person response profiles. Both methods can detect novel, clinically significant features that are not readily captured by conventional statistical methods. His recent research focuses on the creation of innovative and efficient statistical methods and their application to clinical and medical domains. Professor Kim is eager to continue collaborating with research faculty in the Pediatric Psychology Division at Baylor College of Medicine to conduct data-driven, clinically relevant research.

Professional Development

The SAS Mixed Modeling

Course (Participant, 2024)

Sponsor: BCM/TCH

The SAS certification for the completion of mixed modeling training

Utilizing Nonsymmetric Correspondence Analysis to Predict Psychological Capital via Organizational Support, Sense of Power, Self-Control, and Gender

Conference (Presenter, 2024)

Sponsor: International Society for the Study of Work and Organizational Values (ISSWOV)

One of Essential Elements for Successful Scholars: Novel Research Paradigms, including Profile Analysis and Correspondence Analysis via Multivariate Statistics

Seminar (Presenter, 2023)

Sponsor: The Seoul National University

Segment Profile Analysis (SEPA): "Peeling Off" Person Profiles of Observed Scores across Two-Dimensional Biplots for Better Assessment

Conference (Presenter, 2023)

Sponsor: International Conference on Data Science

Utility of Profile Analysis via Multidimensional Scaling in R for the Study of Person Response Profiles in Cross-Sectional and Longitudinal Data and a workshop entitled Two Stages of Quantification of Categorical Data: A Variant of Correspondence Analysis

Workshop (Presenter, 2023)

Sponsor: Sejoung University

Seeking Pure Pattern Effects: Latent Level and Pattern Variance in Profile Analysis is Evidenced by Reparametrized Observed Level and Pattern Variance

Conference (Presenter, 2023)

Sponsor: Correspondence Analysis and Related Methods

Selected Publications

• Kim, S.-K., McKay, D., Murphy, T.K., Bussing, R., McNamara, J.P, Goodman, W.K., & Storch, E.C. "Age moderated–anxiety mediation for multimodal treatment outcome among children with obsessive-compulsive disorder: An evaluation with correspondence analysis." J Affect Disord. 2021;282:766–775. Pubmed PMID: 33601717
• Kim, S.-K., McKay, D., Ehrenreich-May, J., Wood, J., & Storch, E.A. "Assessing treatment efficacy by examining relationships between age groups of children with autism spectrum disorder and clinical anxiety symptoms: Prediction by correspondence analysis." J Affect Disord. 2020;265(15):645–650. Pubmed PMID: 31787421
• Kim, S.-K., McKay, D., Cepeda, S.L., Schneider, S.C., Wood, J., & Storch, E.C "Assessment of improvement in anxiety severity for children with autism spectrum disorders: The matched correspondence analysis approach." J Psychiatr Res. 2022;145:175–181. Pubmed PMID: 34923358
• Kim, S.-K., & Annunziato, R.A. "Can eating disorder treatment also alleviate psychiatric comorbidity: Matched correspondence analysis?." Psychother Psychosom. 2020;89(2):125–127. Pubmed PMID: 31991442

Skills

Correspondence Analysis

Correspondence analysis is a statistical method used to examine the relationship between categories in a two- or multi-way contingency table. It allows for the estimation of associations between categories both visually and numerically. The biplot paradigm is employed to project categories onto a two-dimensional plane for a visual examination of category associations. In order to provide numerical estimates of visually observed associations, correlations are calculated based on the category coordinates in the biplot plane.

Profile Analysis

Profile analysis is to detect the most predominant response patterns among a set of individual profiles of observed responses. The profile analytic method has been employed to evaluate patients in terms of their symptom improvement and deterioration.

Languages

Korean