Five-factor model-based personality profiles in South Korea

This study aimed to (1) identify personality profiles based on the Five-Factor Model using a large South Korean sample (N = 813,611) and (2) examine their associations with well-being and related variables (e.g., self-esteem, loneliness, subjective social status). Using a Gaussian Mixture Model (GMM), we identified five personality types: Average, with mid-range scores on all traits; Introverted-Open, with high Openness and low Extraversion and Agreeableness; Introverted-Reactive, with low Conscientiousness and Extraversion and high Neuroticism; Expressive, with high Openness and Extraversion; and Conventional, with low Openness and, to a lesser extent, low Agreeableness and Neuroticism. Membership probabilities for the five personality profiles showed distinct patterns of association with the aforementioned variables, providing further insight into their characteristics. Expressive and Average type membership was associated with only beneficial outcomes, though the magnitude of these associations differed, while the Introverted-Reactive type was linked to lower well-being and various psychological vulnerabilities. The Introverted-Open and Conventional types displayed a nuanced profile, characterized by a combination of both adaptive and maladaptive attributes. These findings build on previous personality typology research by identifying empirically derived profiles in a Korean sample and offer insights for developing targeted, person-centered well-being interventions.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-01-13
DOI
https://doi.org/10.1038/s41598-025-34511-4
Primary Topic
Personality Traits and Psychology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Five-factor model-based personality profiles in South Korea

In-Gyu Choi, Jennifer Hyunji Kim, Mina Jyung, Kipoong Kim
Scientific Reports
Personality Traits and Psychology
article

Five-factor model-based personality profiles in South Korea

In-Gyu Choi, Jennifer Hyunji Kim, Mina Jyung, Kipoong Kim
article en

Abstract

This study aimed to (1) identify personality profiles based on the Five-Factor Model using a large South Korean sample (N = 813,611) and (2) examine their associations with well-being and related variables (e.g., self-esteem, loneliness, subjective social status). Using a Gaussian Mixture Model (GMM), we identified five personality types: Average, with mid-range scores on all traits; Introverted-Open, with high Openness and low Extraversion and Agreeableness; Introverted-Reactive, with low Conscientiousness and Extraversion and high Neuroticism; Expressive, with high Openness and Extraversion; and Conventional, with low Openness and, to a lesser extent, low Agreeableness and Neuroticism. Membership probabilities for the five personality profiles showed distinct patterns of association with the aforementioned variables, providing further insight into their characteristics. Expressive and Average type membership was associated with only beneficial outcomes, though the magnitude of these associations differed, while the Introverted-Reactive type was linked to lower well-being and various psychological vulnerabilities. The Introverted-Open and Conventional types displayed a nuanced profile, characterized by a combination of both adaptive and maladaptive attributes. These findings build on previous personality typology research by identifying empirically derived profiles in a Korean sample and offer insights for developing targeted, person-centered well-being interventions.

Scientific ReportsVol. 16(1)
Seoul National University (KR), Changwon National University (KR)
National Research Foundation, Seoul National University, National Research Foundation of Korea
Reduced inequalities
Openalex Percentile: Top 90%
Personality Traits and Psychology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Five-factor model-based personality profiles in South Korea — In-Gyu Choi, Jennifer Hyunji Kim, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS