Early childhood social responsiveness predicts the general factor of personality in early adolescence

2019 ◽  
Vol 28 (2) ◽  
pp. e2123 ◽  
Author(s):  
Curtis S. Dunkel ◽  
Dimitri van der Linden ◽  
Tetsuya Kawamoto
Keyword(s):  
Early Childhood ◽  
Early Adolescence ◽  
General Factor ◽  
Social Responsiveness ◽  
General Factor Of Personality

scholarly journals Early Childhood Predictors of Anxiety in Early Adolescence

2018 ◽  
Vol 47 (7) ◽  
pp. 1121-1133 ◽  
Author(s):  
Jennifer L. Hudson ◽  
Kou Murayama ◽  
Lotte Meteyard ◽  
Talia Morris ◽  
Helen F. Dodd
Keyword(s):  
Early Childhood ◽  
Early Adolescence ◽  
Childhood Predictors

scholarly journals Early Childhood Psychopathology Prospectively Predicts Social Functioning in Early Adolescence

2018 ◽  
Vol 49 (3) ◽  
pp. 353-364 ◽  
Author(s):  
Megan C. Finsaas ◽  
Ellen M. Kessel ◽  
Lea R. Dougherty ◽  
Sara J. Bufferd ◽  
Allison P. Danzig ◽  
...  
Keyword(s):  
Early Childhood ◽  
Social Functioning ◽  
Early Adolescence ◽  
Childhood Psychopathology

The Hierarchical Structure of Childhood Personality in Five Countries: Continuity From Early Childhood to Early Adolescence

2012 ◽  
Vol 80 (4) ◽  
pp. 847-879 ◽  
Author(s):  
Jennifer L. Tackett ◽  
Helena R. Slobodskaya ◽  
Raymond A. Mar ◽  
James Deal ◽  
Charles F. Halverson ◽  
...  
Keyword(s):  
Early Childhood ◽  
Hierarchical Structure ◽  
Early Adolescence ◽  
The Hierarchical Structure

General Factor of Personality Questionnaire (GFPQ): Only one Factor to Understand Personality?

2010 ◽  
Vol 13 (1) ◽  
pp. 5-17 ◽  
Author(s):  
Salvador Amigó ◽  
Antonio Caselles ◽  
Joan C. Micó
Keyword(s):  
Emotional Disorders ◽  
Sensation Seeking ◽  
Personality Factors ◽  
General Factor ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
Approach And Avoidance ◽  
Sensitivity To Reward ◽  
General Factor Of Personality ◽  
Sensitivity To Punishment

This study proposes a psychometric approach to assess the General Factor of Personality (GFP) to explain the whole personality. This approach defends the existence of one basic factor that represents the overall personality. The General Factor of Personality Questionnaire (GFPQ) is presented to measure the basic, combined trait of the complete personality. The questionnaire includes 20 items and is constituted by two scales with 10 items each one: the Extraversion Scale (ES) and the Introversion Scale (IS). The GFPQ shows adequate internal consistency and construct validity, while the relationships with the personality factors of other models and with psychopathology are as expected. It correlates positively and significantly with Extraversion (E) and Psychoticism (P), and negatively with Neuroticism (N) of Eysenck's EPQ (Eysenck Personality Questionnaire); it correlates positively and significantly with the Sensation Seeking Scaled (SSS) of Zuckerman, and is inside the expected direction with Sensitivity to Reward (SR) and Sensitivity to Punishment (SP) of the Sensitivity to Punishment and Sensitivity to Reward Questionnaire (SPSRQ), which represent the approach and avoidance trends of behavior, respectively. It not only relates negatively with the personality disorders of the anxiety spectrum, but also with the emotional disorders in relation to anxiety and depression, and it relates positively with the antisocial personality disorder.

Construct validation using multitrait‐multimethod‐twin data: The case of a general factor of personality

2010 ◽  
Vol 24 (3) ◽  
pp. 258-277 ◽  
Author(s):  
Rainer Riemann ◽  
Christian Kandler
Keyword(s):  
Study Design ◽  
Convergent Validity ◽  
Structural Equation ◽  
Twin Studies ◽  
Higher Order ◽  
Genetic Effects ◽  
Order Structure ◽  
General Factor ◽  
General Factor Of Personality ◽  
Peer Report

We describe a behavioural genetic extension of the classic multitrait‐multimethod study design that allows estimating genetic and environmental influences on method effects in twin studies (MTMM‐T). Genetic effects and effects of the environment shared by siblings are interpreted as indicators of convergent validity. In an application of the MTMM study design, we used self‐ and peer report data to examine the higher‐order structure of the NEO‐PI‐R. Structural equation modelling did not support a general factor of personality in multimethod data. The higher‐order factor Stability turns out to be, at most, a weak trait factor. Genetic effects on method factors indicate that especially self‐reports but also peer reports show convergent validity between twins but not between methods. Copyright © 2010 John Wiley & Sons, Ltd.

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