Personality: Description, Classification and Evaluation

Taymur, İbrahim

doi:10.5455/cap.20120410

Cited by 37 publications

(14 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, in this study it became noticeable that dependent personality belief is a significant predictor of smart phone addiction. According to cognitive behavioural approach, every personality has a non-functional fundamental belief 26 . Individuals with dependent personality belief are in intense need of another for their individual lives.…”

Section: Discussionmentioning

confidence: 99%

“…It is known that individuals with dependent and passive aggressive personality beliefs display submissive behaviour before authority. Individuals with paranoid personality beliefs also have important difficulties with authority; however, unlike dependent and passive-aggressive, they use projectional defense mechanism 26 and believe that what is unreliable is the external object. The common feature of these three personality beliefs is that they have problems with confidence and authority.…”

Section: Discussionmentioning

confidence: 99%

“…Cognitive theory deals with the belief dimension of personality whereas it explains personality disorders with non-functional beliefs 24 . Basic beliefs shaped by the experiences of the individual direct his/her emotions and behaviours 26 . Beliefs which are activated with an experience affect the experience of the individual negatively if they are not functional 27 .…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Personality beliefs as a predictor of smartphone addiction

Direktör

Nuri

2019

Arch. Clin. Psychiatry (São Paulo)

View full text Add to dashboard Cite

Objective: The purpose of this study is to determine the relation between smart phone addiction and personality beliefs of university students. Methods: A total of 1007 students, 637 females (63.3%) and 370 males (36.7%) participated in the study. "Smart phone addiction scale short form" was used to measure smart phone addiction and "personality beliefs scale" was used to identify personality beliefs. Results: According to the performed multiple regression analysis, it was found out that dependent, antisocial, narcissist, histrionic, borderline, paranoid personality, schizoid personality, obsessive compulsive personality, passive-aggressive personality and avoidant personality beliefs predicted smart phone addiction at significant level (R = 0.38, R2 = 0.15, p < 0.001). The mentioned variables explain 15% of the variance. An examination of the t-test shows that dependent personality (t = 5.585, p < 0.001), passive-aggressive personality (t = -4.485, p < .001) and paranoid personality (t = 2.901, p < .01) belief among the mentioned variables are a significant predictor of smart phone addiction. Discussion:The obtained results show that dependent, passive-aggressive and paranoid personality beliefs are a significant predictor of smart phone addiction. Research findings are discussed in the light of relevant literature. C et al. / Arch Clin Psychiatry. 2019;46(3):61-5 Direktör

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Personality beliefs as a predictor of smartphone addiction

Direktör

Nuri

2019

Arch. Clin. Psychiatry (São Paulo)

View full text Add to dashboard Cite

show abstract

“…DSM-IV ve ICD-10 tanı kriterlerinin bir karması olarak, klinisyenlerin deneyimleri sonucunda oluşturulmuştur. Ölçeği geliştirme sürecinde savunma düzenekleri, baş etme yöntemleri ve kişilerarası ilişkilerdeki patolojiler 7 yıllık bir süreçte incelenmiş, yalnızca tanı koymak değil kişiliği tanımak amaçlanmıştır (Taymur & Turkcapar, 2012).Ölçekte kişilik özelliklerini tanımlayan 200 durum 8 kategoride değerlendirilmiştir. Ölçek için üretilen bilgisayar programı aracılığı ile DSM-4 kişilik bozukluğu tanıları otomatik olarak raporlanabilmektedir (Westen & Shedler, 2007).…”

Section: Shedler-western Değerlendirme Prosedürü-200 (Shedler-western Assessment Procedure-200; Swap-200)unclassified

Kişilik bozukluklarının tanısı: yeni bulgular ile tanıda kullanılan anket ve ölçekler

CANKORUR¹

2017

Kriz Dergisi

View full text Add to dashboard Cite

Kişilik bozukluğu biliş duygulanım,dürtü denetimi ve kişilerarası ilişkilerde sorunlara sebep olan, süreklilik gösteren davranış örüntüleri olarak tanımlanabilir. Bu örüntülere tanı konulması ve tedavi süreci, kişinin kendisine ve çevreye yarattığı risklerin azaltılması yönünde önemli olduğu kadar zordur. Son yıllarda kişilik bozukluklarına yönelik genetik ve nörogörüntüleme çalışmaları yapılmasına rağmen henüz tanıda kullanılabilecek bir biyobelirteç mevcut değildir. Tanıda kullanılmak üzere kişilik bozuklukları ile ilişkili kuramlara dayalı olarak oluşturulmuş birçok görüşme ve ölçek bulunmaktadır. Fakat bu ölçek ve görüşmelerin çok azı dilimize çevrilmiş ve Türk hekimlerinin kullanımına sunulmuştur. Tanıda ve araştırmalarda kullanılmak üzere dünyada sıklıkla kullanılan ölçek ve görüşmelerin Türkçe geçerlilik güvenilirlik çalışmalarının yapılmasına, Türk toplumunun özellikleri dikkate alınarak oluşturulabilecek yeni ölçeklere ihtiyaç vardır.

show abstract

“…These features have been modified by Eysenck and many other theorists. [ 8 , 10 ] In the beginning, Eysenck developed scales to measure the dimensions of extraversion and neuroticism. Eysenck later developed his theory, saying that personality consists of three sub-dimensions: extraversion, neuroticism, and psychoticism.…”

mentioning

confidence: 99%

The Relationship Between Personality Traits and BMI Categories

Tekin

Öner

Çeti̇n

et al. 2020

North Clin Istanbul

View full text Add to dashboard Cite

OBJECTIVE: To compare personality traits between average weight, overweight and obese people using Eysenck Personality Questionnaire Revised-Abbreviated Form (EPQR-A). Study design: Cross-sectional, descriptive study. Place and duration of study: S. B. U Kartal Dr. Lutfi Kirdar Training and Research Hospital Family Medicine Obesity Policlinic and Family Medicine Outpatient Clinics, from November 2018 to January 2019. METHODS: Participants aged between 18 and 65 years (279 female and 150 male) were layered according to Turkish Endocrinology and Metabolism Society (TEMD) Body Mass Index (BMI) categories to compare personality traits between normal weight, overweight and obese people. Each layer was compared to each other in this study. A questionnaire, including socio-demographic form, and EPQR-A Form were applied to the participants. RESULTS: Patients aged between 18 and 65 years (279 female and 150 male) were evaluated according to BMI categories. There was a significant difference in psychoticism score averages by BMI categories (p<0.001). The mean of psychoticism scores showed a V-shaped distribution according to the BMI categories. There were no significant differences between the average scores of neuroticism and extraversion according to BMI categories (p=0.094; p=0.157, respectively). CONCLUSION: There was a significant difference in psychoticism score averages by BMI categories. The mean of psychoticism scores showed a V-shaped distribution according to the BMI categories.

show abstract

Personality: Description, Classification and Evaluation

Cited by 37 publications

References 71 publications

Personality beliefs as a predictor of smartphone addiction

Personality beliefs as a predictor of smartphone addiction

Kişilik bozukluklarının tanısı: yeni bulgular ile tanıda kullanılan anket ve ölçekler

The Relationship Between Personality Traits and BMI Categories

Contact Info

Product

Resources

About