Trait emotional intelligence influences on academic achievement and school behaviour

Background. Trait emotional intelligence (trait EI or trait emotional self‐efficacy) refers to individuals’ emotion‐related self‐perceptions ( Petrides, Furnham, & Mavroveli, 2007 ). The children's trait EI sampling domain provides comprehensive coverage of their affective personality. Preliminary evidence shows that the construct has important implications for children's psychological and behavioural adjustment. Aims. This study investigates the associations between trait EI and school outcomes, such as performance in reading, writing, and maths, peer‐rated behaviour and social competence, and self‐reported bullying behaviours in a sample of primary school children. It also examines whether trait EI scores differentiate between children with and without special educational needs (SEN). Sample. The sample comprised 565 children (274 boys and 286 girls) between the ages of 7 and 12 (M_(age)= 9.12 years, SD= 1.27 years) attending three English state primary schools. Method. Pupils completed the Trait Emotional Intelligence Questionnaire‐Child Form (TEIQue‐CF), the Guess Who peer assessment, the Peer‐Victimization Scale, and the Bullying Behaviour Scale. Additional data on achievement and SEN were collected from the school archives. Results. As predicted by trait EI theory, associations between trait EI and academic achievement were modest and limited to Year 3 children. Higher trait EI scores were related to more nominations from peers for prosocial behaviours and fewer nominations for antisocial behaviour as well as lower scores on self‐reported bulling behaviours. Furthermore, SEN students scored lower on trait EI compared to students without SEN. Conclusions. Trait EI holds important and multifaceted implications for the socialization of primary schoolchildren.     

Prevalence and differentiating aspects related to gender with regard to the bullying phenomenon in poor countries

There is a large body of scientific knowledge about school violence and bullying in Europe and some other regions of the so-called developed world. However, improvement is scarce in poor and developing regions, as in the case of Latin America and, in particular, Nicaragua. The goal of this work was to determine the prevalence of the bullying phenomenon in Nicaraguan primary schools, to analyze the eventual relationships between the different forms of violence used by the students and to explore, in relation to these aspects, the similarities and differences between boys and girls. For this purpose, we surveyed 3042 pupils of primary school (50.3% girls) using the "Cuestionario sobre Convivencia, Violencia y Experiencias de Riesgo" (COVER, in English, Questionnaire about Living Together, Violence and Risk Experiences). We found that the level of involvement in bullying is significantly higher than in developed countries, that boys are more involved than girls in verbal, physical and psychological bullying, and that there are no differences with regard to social exclusion. The results are discussed, comparing them with studies conducted in different countries but with similar methodologies.     

Factor structure analysis of the Preschool and Kindergarten Behavior Scale scores in Spanish population

Social competence and antisocial behavior in children are interesting variables for researchers and educators. Nonetheless, there are few assessment instruments capable of measuring the two constructs in small children. The aim of this study is to verify the structural validity of the Preschool and Kindergarten Behavior Scale for Teachers and Caregivers (PKBS-2), in order to determine the theoretical model that best fits the data from a Spanish sample. 1509 children from preschool education (741 males and 768 females) from 3 to 6 years old (M= 3.78; SD= 0.815) participated in the study. Data was analyzed using the Statistical Package for the Social Sciences (SPSS-15.0) and the Structural Equations Program (EQS 6.1). The resulting models of social skills and behavioral problems show adequate fit indexes, statistically significant loadings, and a high internal consistency index (Cronbach's alpha). Lastly, the structural model confirms a two-factor structure: a first factor of Social Skills, comprising three variables (social cooperation, social interaction, and social independence), and a second factor of Behavior Problems, comprising two variables (externalization and internalization of problems).     

Parent-Child Engagement in Decision Making and the Development of Adolescent Affective Decision Capacity and Binge Drinking

The goal of this study was to investigate how parents’ engagement of their child in everyday decision-making influenced their adolescent’s development on two neuropsychological functions, namely, affective decision-making and working memory, and its effect on adolescent binge-drinking behavior.We conducted a longitudinal study of 192 Chinese adolescents. In 10th grade, the adolescents were tested for their affective decision-making ability using the Iowa Gambling Task (IGT) and working memory capacity using the Self-ordered Pointing Test (SOPT). Questionnaires were used to assess perceived parent-child engagement in decision-making, academic performance and drinking behavior. At one-year follow-up, the same neuropsychological tasks and questionnaires were repeated.Results indicate that working memory and academic performance were uninfluenced by parent-child engagement in decision-making. However, compared to adolescents whose parents made solitary decisions for them, adolescents engaged in everyday decision-making showed significant improvement on affective decision capacity and significantly less binge-drinking one year later.These findings suggest that parental engagement of children in everyday decision-making might foster the development of neurocognitive functioning relative to affective decision-making and reduce adolescent substance use behaviors.     

Comparison between two continuous performance tests for identifying ADHD: Traditional vs. virtual realityEjecución continua para la detección del TDAH: pruebas tradicionales frente a la realidad virtual

Background/Objective: Continuous Performance Tests (CPTs) have demonstrated validity when differentiating children with ADHD from healthy controls. However, these CPTs have limitations such as low ecological validity. New CPTs based on the use of Virtual Reality (VR) have appeared as supposedly improved methods for assessing ADHD. This study aims to compare the discriminant value of attentional variables produced by a VR CPT (Aula Nesplora) with that of variables from a traditional CPT (Test of Variables of Attention; TOVA) for identifying ADHD. Method: A total of 338 children aged between 6 and 16 years old (M = 10.84, SD = 3.01) participated in the study: 31.95% correspond to the inattentive presentation, 15.38% to the impulsive-hyperactive presentation, 22.78% to the combined presentation, and the remaining 29.88% correspond to children without ADHD. Results: Results indicated that Aula Nesplora predicts ADHD presentations better than TOVA. It also differentiates better between ADHD and non-ADHD students. Conclusions: These findings show the potential advantages of using virtual reality in ADHD assessment, as it facilitates the diagnosis of ADHD and the differentiation of its presentations in a realistic environment.     

The impact of education on intergenerational occupational mobility in Spain

Intergenerational occupational mobility is a topic that has attracted considerable interest in the sociological and economic literature for developed countries. In particular, one of the central issues in political debate is the role of education on the intergenerational social mobility. The modern capitalist economies are characterised by continual technological changes which lead to the need of a highly skilled workforce. In this potentially meritocratic society, the equality of opportunities, the efficient allocation of talent and the education can be instruments that encourage the social mobility and decrease the effect of the parents' economic status on the career of their children. This paper takes into account these facts and sheds empirical evidence for Spain about the relationships between social origin, educational attainment and occupational destination. The methodology applied consists of the specification and estimation of discrete choice models, and the empirical analysis is based on data provided by the Living Condition Survey (LCS) conducted for the Spanish National Statistics Institute (INE).     

Family communication styles, attitude towards institutional authority and adolescents' violent behaviour at school

The purpose of present study is to analyse the relationship among certain family and school factors, adolescents' attitude towards institutional authority, and violent behaviour at school. The sample is composed of 1049 adolescents of both sexes and aged from 11 to 16 years old. Statistical analyses were carried out using structural equation modelling. Results indicate a close association between negative communication with father and violent behaviour in adolescence. Moreover, data suggest that teachers' expectations affect students' attitude towards institutional authority, which in turn is closely related to school violence. Finally, findings show an indirect influence of father, mother and teacher in adolescents' violent behaviour, mainly through their effect on family- and school-self-concept.     

How to fit and interpret multilevel models using SPSS

Hierarchic or multilevel models are used to analyse data when cases belong to known groups and sample units are selected both from the individual level and from the group level. In this work, the multilevel models most commonly discussed in the statistic literature are described, explaining how to fit these models using the SPSS program (any version as of the 11 th ) and how to interpret the outcomes of the analysis. Five particular models are described, fitted, and interpreted: (1) one-way analysis of variance with random effects, (2) regression analysis with means-as-outcomes, (3) one-way analysis of covariance with random effects, (4) regression analysis with random coefficients, and (5) regression analysis with means- and slopes-as-outcomes. All models are explained, trying to make them understandable to researchers in health and behaviour sciences.