Parenting styles and trait emotional intelligence in adolescence

The existence of individual differences in trait emotional intelligence (trait EI) makes the investigation of factors that contribute to such variations critical. Given the paucity of research in this area, the purpose of this study was the examination of the relationship between parenting styles and trait EI in an adolescent population. The sample of our study consisted of 127 adolescents (M age = 16.4, SD = 0.96; 42.2% female) from Greek schools, 15–19 years old, who were asked to complete questionnaires of perceived parenting (Parental Authority Questionnaire – PAQ) and trait EI (Trait Emotional Intelligence Questionnaire–Adolescent Short Form – TEIQue–ASF). The estimation of the association between parenting scores and trait EI was based on a multivariable mixed‐effects regression model. An association between parenting styles and trait EI, statistically significant for authoritativeness (b = 0.27, z = 3.92, p < 0.001) and marginally significant for authoritarianism (b = –0.10, z = –1.77, p = 0.08), emerged even after controlling for a set of potential predictors of trait EI. Additionally, statistically significant associations of adolescents’ gender (b = –0.29, z = –2.37, p = 0.02) and parental education (b = 0.32, z = 2.54, p = 0.01) with trait EI were found. These findings provide insight in the field of trait EI antecedents and underline the potential significance of primary prevention programs with parents that aim to develop trait EI at a young age.     

Opening the cuebox: The information children and young adults generate and rely on when making inferences from memory

We used a cue‐generation and a cue‐selection paradigm to investigate the cues children (9‐ to 12‐year‐olds) and young adults (17‐year‐olds) generate and select for a range of inferences from memory. We found that children generated more cues than young adults, who, when asked why they did not generate some particular cues, responded that they did not consider them relevant for the task at hand. On average, the cues generated by children were more perceptual but as informative as the cues generated by young adults. When asked to select the most informative of two cues, both children and young adults tended to choose a hidden (i.e., not perceptual) cue. Our results suggest a developmental change in the cuebox (i.e., the set of cues used to make inferences from memory): New cues are added to the cuebox as more cues are learned, and some old, perceptual cues, although informative, are replaced with hidden cues, which, by both children and young adults, are generally assumed to be more informative than perceptual cues.     

Assessment of generalised Bayesian structural equation models for continuous and binary data

The paper proposes a novel model assessment paradigm aiming to address shortcoming of posterior predictive $p$-values, which provide the default metric of fit for Bayesian structural equation modelling (BSEM). The model framework presented in the paper focuses on the approximate zero approach (Psychological Methods, 17 , 2012, 313), which involves formulating certain parameters (such as factor loadings) to be approximately zero through the use of informative priors, instead of explicitly setting them to zero. The introduced model assessment procedure monitors the out-of-sample predictive performance of the fitted model, and together with a list of guidelines we provide, one can investigate whether the hypothesised model is supported by the data. We incorporate scoring rules and cross-validation to supplement existing model assessment metrics for BSEM. The proposed tools can be applied to models for both continuous and binary data. The modelling of categorical and non-normally distributed continuous data is facilitated with the introduction of an item-individual random effect. We study the performance of the proposed methodology via simulation experiments as well as real data on the ‘Big-5’ personality scale and the Fagerstrom test for nicotine dependence.