Psychometric properties of the Icelandic NEO-FFI in a general population sample compared to a sample recruited for a study on the genetics of addiction

The relationship between personality traits and learning styles in medical education students at Iran University of Medical Sciences: A cross-sectional study

BACKGROUND

The relationship between personality traits and learning styles is an attractive subject for researchers. "Learning Style" indicates on a method of education for effective studying. The Kolb's Learning Style is a known theory in the field of learning style. The Kolb's four learning styles include: Divergent, convergent, assimilating, and accommodating. Furthermore, personality, known as relatively fixed and durable characteristics that distinguish people from each other, and personality contains five broad identified traits of extraversion, agreeableness, openness, conscientiousness, and neuroticism. In this study, we intended to evaluate the relationship between personality traits and learning styles in medical education students.

MATERIALS AND METHODS

This research was an observational analytic cross-sectional study that was conducted on medical education students at Iran University of Medical Sciences, between 2018 and 2019, and 31 students were participated as volunteers. NEO Five-Factor Inventory and the Kolb's learning style inventory (version 3.1) were used to evaluate the students' personality traits and learning styles, respectively. The simple and multiple analysis of multinomial logistic regression were used for statistical analysis.

RESULTS

The results indicated that if one unit would be added to the score of the "Extraversion" personality trait, the estimated odds, by which the student's learning style would become "Accommodating" rather than "Assimilating," is 1.3 times more than the basic condition, in which "Extraversion" score would be remained unchanged (P = 0.035).

CONCLUSION

It seems that "Accommodating" learning style might be related to "Extraversion" personality trait in medical education students. However, researches with a larger population are suggested.

Structural analysis of the PCL-R and relationship to BIG FIVE personality traits and parenting characteristics in an Hispanic female offender sample

Valid measurement of psychopathic traits in females using the Psychopathy Checklist Revised (PCL-R) continues to be an under researched topic. Previous latent variable and other psychometric studies have raised questions concerning the structure and predictive effects of psychopathic traits in females. New cross-cultural research finds good support for a four-factor model of psychopathy in females and the predictive effects of the psychopathy factors (Declercq, Carter, & Neumann, 2015; Neumann, Hare, & Pardini, 2015). Nevertheless, additional research is needed on females, especially individuals from diverse cultural backgrounds. We investigated the factor structure and construct validity of the PCL-R in a female Hispanic sample (n = 155). Confirmatory factor analysis showed that the four-factor model provided an adequate fit. Furthermore, structural equation modelling revealed significant negative and positive predictive effects, respectively, between general personality (Agreeableness and Conscientiousness), and indifferent/abusive parenting with the broad syndrome of psychopathy.

Genome-wide analyses for personality traits identify six genomic loci and show correlations with psychiatric disorders

Personality is influenced by genetic and environmental factors and associated with mental health. However, the underlying genetic determinants are largely unknown. We identified six genetic loci, including five novel loci, significantly associated with personality traits in a meta-analysis of genome-wide association studies (N = 123,132-260,861). Of these genome-wide significant loci, extraversion was associated with variants in WSCD2 and near PCDH15, and neuroticism with variants on chromosome 8p23.1 and in L3MBTL2. We performed a principal component analysis to extract major dimensions underlying genetic variations among five personality traits and six psychiatric disorders (N = 5,422-18,759). The first genetic dimension separated personality traits and psychiatric disorders, except that neuroticism and openness to experience were clustered with the disorders. High genetic correlations were found between extraversion and attention-deficit-hyperactivity disorder (ADHD) and between openness and schizophrenia and bipolar disorder. The second genetic dimension was closely aligned with extraversion-introversion and grouped neuroticism with internalizing psychopathology (e.g., depression or anxiety).