Youth Psychopathic Traits Inventory--Child Version

2008 ◽  
Author(s):  
Yoast van Baardewijk ◽  
Hedy Stegge ◽  
Henrik Andershed ◽  
Sander Thomaes ◽  
Evert Scholte ◽  
...  
Keyword(s):  
Psychopathic Traits ◽  
Youth Psychopathic Traits Inventory

Youth Psychopathic Traits Inventory--Triarchic; Short Version

2019 ◽  
Author(s):  
Pedro Pechorro ◽  
Matt DeLisi ◽  
James V. Ray ◽  
Isabel Alberto ◽  
Mário R. Simões
Keyword(s):  
Psychopathic Traits ◽  
Short Version ◽  
Youth Psychopathic Traits Inventory

Youth Psychopathic Traits Inventory--Chinese Version

2015 ◽  
Author(s):  
Meng-Cheng Wang ◽  
Qiaowen Deng ◽  
Cherie Armour ◽  
Xiang Yang Bi ◽  
Hong Zeng
Keyword(s):  
Psychopathic Traits ◽  
Chinese Version ◽  
Youth Psychopathic Traits Inventory

Youth Psychopathic Traits Inventory–Italian Short Version

2016 ◽  
Author(s):  
Andrea Fossati ◽  
Antonella Somma ◽  
Serena Borroni ◽  
Fernanda Frera ◽  
Cesare Maffei ◽  
...  
Keyword(s):  
Psychopathic Traits ◽  
Short Version ◽  
Youth Psychopathic Traits Inventory

scholarly journals The Youth Psychopathic Traits Inventory: A Bifactor Model, Dimensionality, and Measurement Invariance

Assessment ◽  
2016 ◽  
Vol 24 (7) ◽  
pp. 932-944 ◽  
Author(s):  
Wendy Zwaanswijk ◽  
Violaine C. Veen ◽  
Paul Vedder
Keyword(s):  
Measurement Invariance ◽  
Community Sample ◽  
Psychopathic Traits ◽  
Bifactor Model ◽  
Ethnic Background ◽  
Latent Structure ◽  
Factor Scores ◽  
Modeling Approach ◽  
Youth Psychopathic Traits Inventory ◽  
Bifactor Modeling

The current study examines a bifactor model for the Youth Psychopathic Traits Inventory (YPI) in a Dutch community sample of adolescents ( N = 2,874). The primary goal was to examine the latent structure of the YPI with a bifactor modeling approach. Furthermore, the study examines the dimensionality and measurement invariance of the YPI. Results show that a bifactor model at subscale level fits the YPI best. The general psychopathy factor influences the 10 subscales of the YPI strongly, indicating that the YPI seems to be rather unidimensional than multidimensional. Nevertheless, the dimensions still explain nearly one third of the variance found. Findings imply that the bifactor model of the YPI should be used when examining relations with outcome variables, with a focus on the total score of the YPI, while factor scores should be reported with caution. Furthermore, the bifactor model appears invariant for gender, age, and ethnic background.

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