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Mixed Linear Models performed with the SPSS v.23 was used for statistical analyses. The results revealed statistically significant differences based on gender and physical education teaching competencies. click here In conclusion, the study highlights that physical education teacher skills influence disruptive behaviors in the classroom, and that this is also related to school satisfaction. Furthermore, it highlights that boys showed higher levels of negative behaviors than girls. Copyright © 2020 Granero-Gallegos, Baños, Baena-Extremera and Martínez-Molina.Previous research has suggested that personality and cognitive functions are essential in the emergence of persistent aggressive antisocial behaviors and that character maturity could be an important protective factor against these behaviors. The aims of this study were (1) to determine associations between personality traits, intellectual ability, and executive function in young male violent offenders, and (2) to investigate differences in intellectual ability and executive function between groups of violent offenders with low, medium, and high character maturity. A cohort of 148 male violent offenders (18-25 years of age) participated in this study. The Temperament and Character Inventory was used as a self-report measure of personality traits, and cognitive functions were measured with the Wechsler Adult Intelligence Scale - Third Edition and the Cambridge Neuropsychological Test Automated Battery. Intellectual ability was negatively correlated to the temperament dimension Harm Avoidance and the character ander, Billstedt and Wallinius.In addition to a large variety of somatic symptoms, fever also affects cognition, sleep, and mood. In an online survey with 164 participants, 100 fever dream reports were submitted. Fever dreams were more bizarre and more negatively toned and included more references to health and temperature perception compared to "normal" most recent dreams - findings that are in line with the continuity hypothesis of dreaming. Future studies should follow up this line of research by conducting diary studies during naturally occurring febrile illnesses and sleep laboratory studies with experimentally induced fever. It would also be very interesting to study the effect of thermal stimulation applied during sleep on dream content. This research helps to understand subjective experiences while sleeping in an extreme condition (elevated body temperature). Copyright © 2020 Schredl and Erlacher.This paper continues our previous study in which we examined the respondents' reaction to two morphologically different snake stimuli categories - one evoking exclusively fear and another evoking exclusively disgust. Here we acquired Likert-type scale scores of fear and disgust evoked by the same snake stimuli by a total of 330 respondents. Moreover, we collected data about the respondents' age, gender, education, snake fear [Snake Questionnaire (SNAQ)], and disgust propensity [Disgust Scale-Revised (DS-R)], and we analyzed the effect of these variables on the emotional scores (with special focus on snake-fearful respondents). In addition, we collected the SNAQ and DS-R scores from the respondents tested in the previous study using the rank-ordering method to directly compare the results of these two approaches. The results showed that non-fearful respondents give high scores of fear to the fear-eliciting snakes and high scores of disgust to the disgust-eliciting snakes, but they give low scores of the other emotional dimension (disgust/fear) to each. In contrast, snake-fearful respondents not only give higher fear and disgust scores to the respective snake stimuli, but they also give high scores of fear to the disgust-eliciting snakes and high scores of disgust to the fear-eliciting snakes. Both Likert-scale scores and rank-ordering data show that the clear border dividing both snake stimuli categories dissolves when evaluated by the snake-fearful respondents. Copyright © 2020 Rádlová, Polák, Janovcová, Sedláčková, Peléšková, Landová and Frynta.In a growing context of multiculturalism, prosocial behavior is important to build effective social exchange and service orientation among university students. The present study investigates prosocial behavior from a psychometric approach, to obtain evidence of the internal structure of the prosocial behavior scale (PS), in 737 young people enrolled at universities in Argentina (207), Spain (310), and Peru (220). First, the clarity of the items was explored in the three countries; second, possible irrelevant patterns of response, such as the careless and extreme responses, were evaluated; third, the non-parametric Mokken methodology was applied to identify the basic properties of the scale score; fourth, the structural equation modeling (SEM) methodology was used to identify the properties of the internal structure (dimensionality, tau-equivalence) of the latent construct; fifth, the measurement invariance according to sex (intra-equivalence) and country (inter-equivalence) was examined with the SEM methodology and other complementary strategies. Finally, reliability and internal consistency were evaluated both at score level and at item level. Implications for use of the PS instrument are discussed. Copyright © 2020 Martí-Vilar, Merino-Soto and Rodriguez.This study examines the underlying mechanism that connects career social support with employability through a survey of 392 Chinese college students. The results showed that career social support had a positive effect on career adaptation and employability of college students, and career adaptation mediated the association between career social support and employability. Furthermore, proactive personality was found to play a moderating role in linking career adaptation and employability. More specifically, higher levels of a proactive personality strengthen the enhancing effect of career adaptation on the employability of college students. Therefore, there was a moderated mediation effect between career social support and employability of college students. Copyright © 2020 Xia, Gu, Huang, Zhu and Cheng.