Se-Kang Kim, Ph.D.
Picture
Se-Kang Kim, Ph.D.
Professor
Positions
- Professor
-
Pediatrics - Psychology
²ÝÁñÉçÇøÈë¿Ú
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 ²ÝÁñÉçÇøÈë¿Ú 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. "." J Affect Disord. 2021;282:766–775. Pubmed PMID:
- Kim, S.-K., McKay, D., Ehrenreich-May, J., Wood, J., & Storch, E.A. "." J Affect Disord. 2020;265(15):645–650. Pubmed PMID:
- Kim, S.-K., McKay, D., Cepeda, S.L., Schneider, S.C., Wood, J., & Storch, E.C "." J Psychiatr Res. 2022;145:175–181. Pubmed PMID:
- Kim, S.-K., & Annunziato, R.A. "." Psychother Psychosom. 2020;89(2):125–127. Pubmed PMID:
- Kim, S.-K., & Annunziato, R.A "." Int J Methods Psychiatr Res. 2018; Pubmed PMID:
- Kim, S.-K., McKay, D., & Tolin, D.F. "." Br J Clin Psychol. 2022;61:613–628. Pubmed PMID:
- Kim, S.-K. "." Psychol Methods. 2023; Pubmed PMID:
- Kim, S.-K., & Frisby, C.L. "." Behav Res Methods. 2019;51(2):589–601. Pubmed PMID:
- Kim, S.-K., Annunziato, R.A., & Olatunji, B.O. "." Int J Methods Psychiatr Res. 2017; Pubmed PMID:
- Kim, S.-K. "." Behav Res Methods. 2020;52:1480-1490. Pubmed PMID:
- Kim, S.-K., McKay, D., Goodman, W.K., Small, B.J., McNamara, J.P., & Murphy, T.K., & Storch, E.A. "." J Psychopathol Behav Assess. 2020;42:739–750.
- Kim, S.-K., & Grochowalski, J.H "." J Classif. 2019;36(2):177–199.
- Kim, S.-K., & Kim, D. "." Methodology. 2017;13:71–81.
- Kim, S.-K., McKay, D., Taylor, S., Tolin, D.F, Olatunji, B.O, Timpano, K.R, & Abramowitz, J.S. "." J Anxiety Disord. 2016;38:79–87. Pubmed PMID:
- Kim, S.-K. "." Br J Math Stat Psychol. 2013;(66):435–451. Pubmed PMID:
- Se-Kang Kim and Rachel Annunziato "." J. Clin. Exp. Hepatol.. 2025 Jan;15(1) Pubmed PMID:
- Se-Kang Kim and Donghoh Kim "." QUANT METH PSYCHOL. 2024 Dec;20(3)
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
to edit your profile
