Se-Kang Kim

Se-Kang Kim, Ph.D.

Professor

Email

se-kang.kim@bcm.edu

Positions

Professor: Pediatrics - Psychology
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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 ��vlog�� 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.. " " J Affect Disord. 2021 ; 282 : 766–775.
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Kim, S.-K., McKay, D., Ehrenreich-May, J., Wood, J., & Storch, E.A.. " " J Affect Disord. 2020 ; 265 (15) : 645–650.
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Kim, S.-K., McKay, D., Cepeda, S.L., Schneider, S.C., Wood, J., & Storch, E.C. " " J Psychiatr Res. 2022 ; 145 : 175–181.
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Kim, S.-K., & Annunziato, R.A.. " " Psychother Psychosom. 2020 ; 89 (2) : 125–127.
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Kim, S.-K., & Annunziato, R.A. " " Int J Methods Psychiatr Res. 2018 ;
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Kim, S.-K., McKay, D., & Tolin, D.F.. " " Br J Clin Psychol. 2022 ; 61 : 613–628.
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Kim, S.-K.. " " Psychol Methods. 2023 ;
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Kim, S.-K., & Frisby, C.L.. " " Behav Res Methods. 2019 ; 51 (2) : 589–601.
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Kim, S.-K., Annunziato, R.A., & Olatunji, B.O.. " " Int J Methods Psychiatr Res. 2017 ;
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Kim, S.-K.. " " Behav Res Methods. 2020 ; 52 : 1480-1490.
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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.
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Kim, S.-K.. " " Br J Math Stat Psychol. 2013 ; (66) : 435–451.
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Kim, S.-K. & Annunziato, R.A.. " " J. Clin. Exp. Hepatol.. 2025 Jan ; 15 (1)
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Kim, S.-K., & Kim, D.. " " 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

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