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A Person-Centered Approach To Emotional Security: Latent Profile Analysis of the Dark Triad and Psychological Symptoms

dc.authorid Kaya, Alican/0000-0003-2933-0161
dc.authorid Ozok, Halil Ibrahim/0000-0002-6427-6335
dc.authorid Mukba, Gamze/0000-0003-2287-4115
dc.authorscopusid 57556095100
dc.authorscopusid 57220741747
dc.authorscopusid 57222899852
dc.authorwosid Mukba, Gamze/Acz-0051-2022
dc.authorwosid Özok, Halil İbrahim/Iaq-5947-2023
dc.authorwosid Kaya, Ali̇can/Gxa-3489-2022
dc.contributor.author Kaya, Alican
dc.contributor.author Mukba, Gamze
dc.contributor.author Ozok, Halil Ibrahim
dc.date.accessioned 2025-05-10T17:18:19Z
dc.date.available 2025-05-10T17:18:19Z
dc.date.issued 2023
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp [Kaya, Alican] Agri Ibrahim Cecen Univ, Dept Guidance & Psychol Counselling, Agri, Turkiye; [Mukba, Gamze] Van Yuzuncu Yil Univ, Dept Guidance & Psychol Counselling, Van, Turkiye; [Ozok, Halil Ibrahim] Van Yuzuncu Yil Univ, Dept Mesurament & Assessment, Van, Turkiye; [Kaya, Alican] Agri Ibrahim Cecen Univ Agri, Fac Educ, Dept Psychol Counseling & Guidance, TR-04100 Agri, Turkiye en_US
dc.description Kaya, Alican/0000-0003-2933-0161; Ozok, Halil Ibrahim/0000-0002-6427-6335; Mukba, Gamze/0000-0003-2287-4115 en_US
dc.description.abstract Few studies have examined emotional security utilizing a person-centered approach. Therefore, in the present study, we conceptualized a multidimensional construct that includes psychological symptoms (i.e., depression, anxiety, and stress) and the dark triad traits (i.e., Machiavellianism, narcissism, and psychopathy). Applying latent profile analysis (LPA) allows the exploration of the interaction of emotional security with the dark triad traits and psychological symptoms in the sample at the level of sub-classes. Depression, stress, anxiety, Machiavellianism, narcissism, and psychopathy were determined as profile indicators. Moreover, satisfaction with life and the psychological well-being of the sub-classes were predicted. Data were gathered from 558 participants (418 females, %74.9) with an average age of 22.44 years). LPA indicated four distinct profiles: 'High emotional security and low psychological symptoms, and dark triad traits' (22%), 'Low emotional security and high psychological symptoms, dark triad traits' (5%), 'Low emotional security and moderate dark triad traits' (28%), 'Moderate emotional security, psychological symptoms, and dark triad traits' (45%). Mixture modeling approach-based research provides a complementary view of the previous psychopathology literature. The findings could help practitioners target at-risk university students with low emotional security, low psychological well-being, and low life satisfaction and design programs to aid them in alleviating the psychological symptoms and the dark triad traits. en_US
dc.description.sponsorship We are grateful to the individuals all participants who participated in this study. en_US
dc.description.sponsorship We are grateful to the individuals all participants who participated in this study. en_US
dc.description.woscitationindex Social Science Citation Index
dc.identifier.doi 10.1177/00332941231203561
dc.identifier.issn 0033-2941
dc.identifier.issn 1558-691X
dc.identifier.pmid 37738659
dc.identifier.scopus 2-s2.0-85171985564
dc.identifier.scopusquality Q1
dc.identifier.uri https://doi.org/10.1177/00332941231203561
dc.identifier.uri https://hdl.handle.net/20.500.14720/9633
dc.identifier.wos WOS:001068820300001
dc.identifier.wosquality Q3
dc.language.iso en en_US
dc.publisher Sage Publications inc en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Attachment en_US
dc.subject Machiavellianism en_US
dc.subject Narcissism en_US
dc.subject Psychopathy en_US
dc.subject Psychological Distress en_US
dc.subject Mixture Model en_US
dc.title A Person-Centered Approach To Emotional Security: Latent Profile Analysis of the Dark Triad and Psychological Symptoms en_US
dc.type Article en_US

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