Se-Kang Kim

Professor

Baylor College of Medicine

United States

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Professor Se-Kang Kim is a faculty member at Baylor College of Medicine in the United States. His research focuses on psychosocial impacts related to health, psychological capital in workplace settings, and the analysis of person response profiles using multidimensional scaling. Recent publications include works on the implications of COVID stress syndrome and the examination of language profiles in primary progressive aphasia.

Articles (14)

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2025

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2024

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2020

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2020

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2020

Collaborators (4)

Sophie Schneider

Clinical Assistant Professor

Baylor College of Medicine

UNITED STATES

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Matthew Weinshenker

Associate Professor of Sociology

Fordham University - Rose Hill Campus

UNITED STATES

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David Tolin

Yale University School of Medicine

UNITED STATES

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Dean McKay

Professor

Fordham University

UNITED STATES

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Se-Kang Kim

Research Interests

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About

Articles (14)

An Innovative Approach to Assessing the Psychosocial Impacts on Liver Transplant Recipients: The Prediction-by-correspondence Analysis

Analysis of Employees’ Profiles of Responses to Personal and Workplace-Related Factors of Psychological Capital: The Profile Analysis via Multidimensional Scaling Approach

Utility of Profile Analysis via Multidimensional Scaling in R for the Study of Person Response Profiles in Cross-Sectional and Longitudinal Data

Examination of COVID stress syndrome facets and relations to substance misuse using profile analysis via multidimensional scaling (PAMS)

Heterogeneity and overlap in the continuum of linguistic profile of logopenic and semantic variants of primary progressive aphasia: a Profile Analysis based on Multidimensional Scaling study

Concerted cultivation and parental satisfaction: a profile analysis via principal component analysis

Factorization of person response profiles to identify summative profiles carrying central response patterns.

Examining the generality and specificity of gender moderation in obsessive compulsive beliefs: Stacked prediction by correspondence analysis

Assessment of improvement in anxiety severity for children with autism spectrum disorder: The matched correspondence analysis approach

Age moderated–anxiety mediation for multimodal treatment outcome among children with obsessive-compulsive disorder: An evaluation with correspondence analysis

Understanding Anxiety and Symptom Impact as Mediators Explaining Cognitive-Behavior Therapy and Pharmacotherapy Response in Childhood Obsessive-Compulsive Disorder

Test treatment effect differences in repeatedly measured symptoms with binary values: The matched correspondence analysis approach

Assessing treatment efficacy by examining relationships between age groups of children with autism spectrum disorder and clinical anxiety symptoms: Prediction by correspondence analysis

Can Eating Disorder Treatment also Alleviate Psychiatric Comorbidity? Matched Correspondence Analysis

Collaborators (4)

Sophie Schneider

Matthew Weinshenker

David Tolin

Dean McKay

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