Literature DB >> 1757868

The five-factor model and its assessment in clinical settings.

R R McCrae1.   

Abstract

Personality researchers have recently converged on the five-factor model as an adequate representation of the structure of personality traits. This article introduces the factors and the NEO Personality Inventory (NEO-PI), a questionnaire designed to measure the factors and some of the traits that define them. Data on the comprehensiveness of the model and on the reliability, validity, and stability of measures of the factors are reviewed, and correlations between scales from the NEO-PI and two instruments widely used in clinical practice (the Minnesota Multiphasic Personality Inventory [MMPI] and the Millon Clinical Multiaxial Inventory [MCMI]) are used to illustrate similarities and differences between normal and clinical assessment. Some issues regarding the clinical use of the five-factor model are discussed.

Mesh:

Year:  1991        PMID: 1757868     DOI: 10.1207/s15327752jpa5703_2

Source DB:  PubMed          Journal:  J Pers Assess        ISSN: 0022-3891


  23 in total

1.  Multidimensional comparison of personality characteristics of the Big Five model, impulsiveness, and affect in pathological gambling and obsessive-compulsive disorder.

Authors:  Jae Yeon Hwang; Young-Chul Shin; Se-Won Lim; Hye Youn Park; Na Young Shin; Joon Hwan Jang; Hye-Yoon Park; Jun Soo Kwon
Journal:  J Gambl Stud       Date:  2012-09

2.  Protective personality traits: High openness and low neuroticism linked to better memory in multiple sclerosis.

Authors:  Victoria M Leavitt; Korhan Buyukturkoglu; Matilde Inglese; James F Sumowski
Journal:  Mult Scler       Date:  2017-01-09       Impact factor: 6.312

3.  The desire to belong: Social identification as a predictor of treatment outcome in social anxiety disorder.

Authors:  Alicia E Meuret; Michael Chmielewski; Ashton M Steele; David Rosenfield; Sibylle Petersen; Jasper A J Smits; Naomi M Simon; Michael W Otto; Luana Marques; Mark H Pollack; Stefan G Hofmann
Journal:  Behav Res Ther       Date:  2016-04-02

4.  The role of patient personality in the identification of depression in older primary care patients.

Authors:  Laura W McCray; Hillary R Bogner; Mary D Sammel; Joseph J Gallo
Journal:  Int J Geriatr Psychiatry       Date:  2007-11       Impact factor: 3.485

5.  An alternative to the search for single polymorphisms: toward molecular personality scales for the five-factor model.

Authors:  Robert R McCrae; Matthew Scally; Antonio Terracciano; Gonçalo R Abecasis; Paul T Costa
Journal:  J Pers Soc Psychol       Date:  2010-12

6.  Social status and anger expression: the cultural moderation hypothesis.

Authors:  Jiyoung Park; Shinobu Kitayama; Hazel R Markus; Christopher L Coe; Yuri Miyamoto; Mayumi Karasawa; Katherine B Curhan; Gayle D Love; Norito Kawakami; Jennifer Morozink Boylan; Carol D Ryff
Journal:  Emotion       Date:  2013-10-07

7.  Resilient, undercontrolled, and overcontrolled personality prototypes among persons with spinal cord injury.

Authors:  Jack W Berry; Timothy R Elliott; Patricia Rivera
Journal:  J Pers Assess       Date:  2007-12

8.  Pessimistic, anxious, and depressive personality traits predict all-cause mortality: the Mayo Clinic cohort study of personality and aging.

Authors:  Brandon R Grossardt; James H Bower; Yonas E Geda; Robert C Colligan; Walter A Rocca
Journal:  Psychosom Med       Date:  2009-03-25       Impact factor: 4.312

9.  Graduate entry to medicine: widening psychological diversity.

Authors:  David James; Eamonn Ferguson; David Powis; Miles Bore; Don Munro; Ian Symonds; Janet Yates
Journal:  BMC Med Educ       Date:  2009-11-13       Impact factor: 2.463

10.  Psychological profile of sasang typology: a systematic review.

Authors:  Han Chae; Soo Hyun Park; Soo Jin Lee; Myoung-Geun Kim; Danny Wedding; Young-Kyu Kwon
Journal:  Evid Based Complement Alternat Med       Date:  2009-09       Impact factor: 2.629

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