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KMID : 0387420190300030153
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Korean Society of Oriental Neuropsychiatry
2019 Volume.30 No. 3 p.153 ~ p.164
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A Study of the Relationship of the CSEI (The Core Seven-Emotions Inventory) and MMPI-2 (Minnesota Multiphasic Personality Inventory-2)
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Heo Eun-Jung
Lee Ga-Won
Lee Na-Hyun
Cheong Moon-Ju
Lyu Yeoung-Su
Kang Hyung-Won
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Abstract
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Objectives: The purpose of this study was to examine the correlation between CSEI (The Core Seven- Emotions Inventory) and MMPI-2 (Minnesota Multiphasic Personality Inventory-2).
Methods: We analyzed the correlation between students’ demographic characteristics, blood type, MMPI-2, and CSEI using the SPSS (Statistical Package for the Social Science) 24.0. Descriptive Statistical Analysis, independent t-test, analysis of variance (ANOVA), subsequent analysis duncan (post hoc multiple comparison), and correlation analysis were conducted.
Results: 1. According to the demographic characteristics of 91 participants in this study: 60 males (65.9%), 88 unmarried (96.7%), 58 without religion (63.7%), 54 who have experienced stress in the last three months (59.4%), and 82 in their 20s (90.1%) comprised the majority. 2. As a result of verifying correlation by subfactors of CSEI, Hui (喜) showed statistically significant negative correlation with U (憂), Bi (悲), and Gong (恐). Six emotions except Hui (喜) showed statistically significant positive correlation, except for the relationship between U (憂) and Kyeong (驚). 3. Hui (喜) of CSEI had negative correlation with eight factors of MMPI-2 Clinical Scales except Pa (Paranoia) and Ma (Hypomania), whereas Bi (悲) had positive correlation with nine factors of MMPI-2 clinical scales except Mf (Masculinity- Femininity). Sa (思), Bi (悲), and Gong (恐) had similar tendency of positive correlation with six factors of MMPI-2 Restructured Clinical Scales.
Conclusions: Based on the above results, we concluded that CSEI’s sub factors had consistent correlations with MMPI-2. Thus, CSEI could contribute to psychiatry clinical use.
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KEYWORD
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CSEI, MMPI-2, Seven Emotions, Correlation analysis
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