완벽주의 유형 분류와 예측 요인 탐색: 잠재프로파일 분석과 머신러닝을 활용하여 = Classification of Perfectionism Types and Exploration of Predictive Factors: Using Latent Profile Analysis and Machine Learning

다국어 초록 (Multilingual Abstract)

This study explored the classification of perfectionism types, their psychological characteristics, and predictors across parental, personal, and environmental domains. 385 Korean adults completed self-report measures assessing perfectionism, parenting, temperament, meritocracy, well-being, and inferiority. Latent profile analysis identified four types: adaptive perfectionism, maladaptive perfectionism, non-perfectionism, and perfectionistic pressure. The maladaptive and perfectionistic pressure types showed lower happiness and higher inferiority than the other two types. Machine learning analyses revealed predictors for each type. Adaptive perfectionism was associated with high affection, low inconsistency, high effortful control, low behavioral inhibition, and low negative emotionality. Maladaptive perfectionism was predicted by high monitoring, high intrusiveness, high negative emotionality, and high perceived meritocracy. Non-perfectionism was related to low over-expectations, low negative emotionality, and low perceived meritocracy. Perfectionistic pressure was associated with high abuse, high neglect, low social sensitivity, and high negative emotionality. This study offers theoretical insights into the developmental trajectories of each type of perfectionism.