Factor Convergence and Predictive Analysis of the Five Factor and Alternative Five Factor Personality Models with the Five-Factor Personality Inventory for ICD-11 (FFICD).
A. Aluja, M. Sorrel, L. F. García, Ó. García, F. Gutiérrez
{"title":"Factor Convergence and Predictive Analysis of the Five Factor and Alternative Five Factor Personality Models with the Five-Factor Personality Inventory for ICD-11 (FFICD).","authors":"A. Aluja, M. Sorrel, L. F. García, Ó. García, F. Gutiérrez","doi":"10.1521/pedi_2021_35_542","DOIUrl":null,"url":null,"abstract":"The authors analyze and compare the factor convergence and predictive power of the Revised NEO Personality Inventory (NEO-PI-R) and the Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ/SF) with respect to the Five-Factor Personality Inventory for ICD-11 (FFiCD). A total of 803 White Spanish subjects were analyzed. All the personality domains had significant predictive power with regard to the FFiCD except NEO Openness. The explained variance of the personality domains with respect to FFiCD Negative Affectivity (71% and 77%) and Detachment (56% and 56%) were similar for NEO-PI-R and ZKA-PQ/SF, respectively, but the NEO-PI-R accounted for greater variance for FFiCD Anankastia, Dissociality, and Disinhibition. The FFiCD facets of Rashness, Thrill- Seeking (Disinhibition), and Unassertiveness (Detachment) were located in factors other than those theoretically expected. The authors conclude that normal personality measured by the NEO-PI-R and the ZKA-PQ/SF contribute, in a differential but complementary way, to knowledge of the maladaptive personality measured by the FFiCD.","PeriodicalId":48175,"journal":{"name":"Journal of Personality Disorders","volume":"36 3 1","pages":"296-319"},"PeriodicalIF":2.1000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Personality Disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1521/pedi_2021_35_542","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
The authors analyze and compare the factor convergence and predictive power of the Revised NEO Personality Inventory (NEO-PI-R) and the Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ/SF) with respect to the Five-Factor Personality Inventory for ICD-11 (FFiCD). A total of 803 White Spanish subjects were analyzed. All the personality domains had significant predictive power with regard to the FFiCD except NEO Openness. The explained variance of the personality domains with respect to FFiCD Negative Affectivity (71% and 77%) and Detachment (56% and 56%) were similar for NEO-PI-R and ZKA-PQ/SF, respectively, but the NEO-PI-R accounted for greater variance for FFiCD Anankastia, Dissociality, and Disinhibition. The FFiCD facets of Rashness, Thrill- Seeking (Disinhibition), and Unassertiveness (Detachment) were located in factors other than those theoretically expected. The authors conclude that normal personality measured by the NEO-PI-R and the ZKA-PQ/SF contribute, in a differential but complementary way, to knowledge of the maladaptive personality measured by the FFiCD.
期刊介绍:
The Journal of Personality Disorders has long been the only forum devoted exclusively to the diagnosis and treatment of clinically significant personality disorders. The journal fosters dialogue among researchers and practitioners working from a variety of orientations and approaches. Its international impact is well established, with subscribers in over 30 countries. This multidisciplinary journal regularly features: - Research on normal and pathological personality and development - New methodologies for assessing personality - Etiologies and clinical classifications for personality disorders - Epidemiological studies and outcomes research on diagnostic criteria - Treatment techniques and innovations