Latent profiles of perfectionism and self-compassion: further validation of the tripartite model of perfectionists in South Korea

Research output: Contribution to journalArticlepeer-review

Abstract

The tripartite model of perfectionism comprising maladaptive, adaptive, and non-perfectionists, has been consistently supported in the literature. However, the conceptual grounds of the grouping variables which distinguish maladaptive and adaptive perfectionists are relatively weak. Drawing on the robust conceptual intersections of perfectionism and self-compassion and employing Latent Profile Analysis, this cross-sectional study purported to validate the tripartite model of perfectionism with South Korean college students. Data were collected from 375 South Korean college students through an online survey. Participants completed an online survey assessing their levels of perfectionism, self-compassion, depression, psychological distress, self-esteem, and life satisfaction. Latent Profile Analysis revealed three distinct groups of maladaptive perfectionists, adaptive perfectionists, and non-perfectionists, categorized by varying levels of perfectionism and self-compassion. Psychological characteristics of the three groups were illuminated by their mean differences across depression, psychological distress, self-esteem, and life satisfaction. Self-compassion may assist as a key differentiator between adaptive and maladaptive perfectionists, despite their shared perfectionistic tendencies. Implications for the study findings and directions for future research were discussed.

Original languageEnglish
Article number1570718
JournalFrontiers in Psychology
Volume16
DOIs
StatePublished - 2025

Keywords

  • latent profile analysis
  • perfectionism
  • self-compassion
  • South Korea
  • tripartite model

Fingerprint

Dive into the research topics of 'Latent profiles of perfectionism and self-compassion: further validation of the tripartite model of perfectionists in South Korea'. Together they form a unique fingerprint.

Cite this