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.     

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.     

Interaction in ANOVA: misconceptions

Although interaction in analysis of variance has an unequivocal theoretical meaning (and so it appears in the statistic literature), frequent misconceptions are found in empirical research, which, in many cases, lead to wrong conclusions. In this paper, 150 articles are reviewed: in 12.7% of them, no attention is paid to the interaction (either because it is not analysed or because it is analysed but not discussed); in 79.1%, interaction is studied through simple effects analysis; and only in 8.2% of the cases, interaction is correctly discussed. It could be that psychology researchers tend to analyse and interpret the interaction between factors incorrectly because the most widespread statistic packages (with SPSS in the lead) do not allow performing the comparisons needed to analyse a significant interaction in factorial designs with randomized groups. In order to contribute to eradicating this problem, we herein show how to design some of the linear comparisons that allow isolating the interaction effect, and we explain how to use SPSS to compute these comparisons.     

Values and the scientific culture of behavior analysis

As scientists and practitioners, behavior analysts must make frequent decisions that affect many lives. Scientific principles have been our guide as we work to promote effective action across a broad spectrum of cultural practices. Yet scientific principles alone may not be sufficient to guide our decision making in cases with potentially conflicting outcomes. In such cases, values function as guides to work through ethical conflicts. We will examine two ethical systems, radical behaviorism and functional contextualism, from which to consider the role of values in behavior analysis, and discuss potential concerns. Finally, we propose philosophical pragmatism, focusing on John Dewey's notions of community and dialogue, as a tradition that can help behavior analysts to integrate talk about values and scientific practices in ethical decision making.