Integrating Normal and Abnormal Personality Structure: The Five-Factor Model

It is evident that the conceptualization, diagnosis, and classification of personality disorder (PD) is shifting toward a dimensional model. The purpose of this special issue of Journal of Personality is to indicate how the Five‐Factor Model (FFM) can provide a useful and meaningful basis for an int...

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Veröffentlicht in:Journal of personality Jg. 80; H. 6; S. 1471 - 1506
Hauptverfasser: Widiger, Thomas A., Costa, Paul T.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Blackwell Publishing Ltd 01.12.2012
Schlagworte:
Classification
Concept formation
Diagnostic and Statistical Manual
Disorders
Factor Analysis, Statistical
Five factor model
Humans
Medical diagnosis
Mental disorders
Mental health
Models, Psychological
Normal
Personality
Personality - classification
Personality Assessment - standards
Personality disorders
Personality Disorders - classification
Personality Disorders - diagnosis
Personality Disorders - psychology
Personality psychology
Personality traits
Psychiatric disorders
Psychiatric Status Rating Scales - standards
ISSN:0022-3506, 1467-6494, 1467-6494
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:It is evident that the conceptualization, diagnosis, and classification of personality disorder (PD) is shifting toward a dimensional model. The purpose of this special issue of Journal of Personality is to indicate how the Five‐Factor Model (FFM) can provide a useful and meaningful basis for an integration of the description and classification of both normal and abnormal personality functioning. This introductory article discusses its empirical support and the potential advantages of understanding personality disorders, including those included within the American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders and likely future PDs from the dimensional perspective of the FFM.
Bibliographie:ArticleID:JOPY776
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ISSN:0022-3506
1467-6494
1467-6494
DOI:10.1111/j.1467-6494.2012.00776.x