Happy thoughts: Enhancing well-being in the classroom with a positive events diary

Positive psychology interventions (PPIs) are effective in increasing well-being across the population. Whilst educators are recognising the importance of well-being in the classroom and of its long-term impact on life trajectory, the transformative potential of PPIs in educational settings is yet to be fully realised. This study investigates, for the first time, the effects of a PPI in school children by means of a daily dairy. Self-report questionnaires were used to measure well-being in school children aged 8–11 years. Across two studies, children kept a positive events diary, recording three experiences every day for a week. The intervention led to an increase in happiness and a decrease in depressive symptoms immediately following the intervention and at a three-month follow-up. Children who had unhappier baseline scores benefitted more from the intervention. This study demonstrates significant scope, in school settings, for targeted light-touch interventions to promote well-being in those with the greatest need.     

Distilling Heterogeneity among Children with Disruptive Behavior: Associations between Symptom Patterns and Social Functioning

Children with disruptive behavior (DB) are a heterogeneous group who exhibit several characteristics that may contribute to poor social functioning. The present study identified profiles of reactive aggression, proactive aggression, callous-unemotional (CU) traits, and prosocial behavior in a sample of children with DB. Associations with social functioning (social interaction, social status) were then examined, along with sex differences in profile membership. Parent ratings of 304 clinic-referred children ages 6–12 years with DB were analyzed using latent profile analysis. Five profiles were identified: 1) Moderate prosocial behavior, reactive aggression, and CU, and low proactive aggression (labelled Moderate); 2) Relatively high prosocial behavior and low reactive and proactive aggression and CU traits (Prosocial); 3) High prosocial behavior and reactive aggression, moderate proactive aggression, and low-moderate CU (Reactive-Prosocial); 4) Low prosocial behavior, high CU, high-moderate reactive aggression, and low-moderate proactive aggression (Reactive-CU); and 5) Low prosocial behavior and high reactive and proactive aggression and CU (Aggressive-CU). Profiles characterized by CU traits, reactive aggression, and low prosocial behavior were associated with the most problematic parent-rated social interaction and social status. The results highlight the need to differentiate profiles of psychopathology in children with DB to better address factors most associated with social functioning.     

Helping parents to motivate adolescents in mathematics and science: an experimental test of a utility-value intervention

The pipeline toward careers in science, technology, engineering, and mathematics (STEM) begins to leak in high school, when some students choose not to take advanced mathematics and science courses. We conducted a field experiment testing whether a theory-based intervention that was designed to help parents convey the importance of mathematics and science courses to their high school-aged children would lead them to take more mathematics and science courses in high school. The three-part intervention consisted of two brochures mailed to parents and a Web site, all highlighting the usefulness of STEM courses. This relatively simple intervention led students whose parents were in the experimental group to take, on average, nearly one semester more of science and mathematics in the last 2 years of high school, compared with the control group. Parents are an untapped resource for increasing STEM motivation in adolescents, and the results demonstrate that motivational theory can be applied to this important pipeline problem.     

A synchronization account of false recognition

We describe a computational model to explain a variety of results in both standard and false recognition. A key attribute of the model is that it uses plausible semantic representations for words, built through exposure to a linguistic corpus. A study list is encoded in the model as a gist trace, similar to the proposal of fuzzy trace theory (Brainerd & Reyna, 2002), but based on realistically structured semantic representations of the component words. The model uses a decision process based on the principles of neural synchronization and information accumulation. The decision process operates by synchronizing a probe with the gist trace of a study context, allowing information to be accumulated about whether the word did or did not occur on the study list, and the efficiency of synchronization determines recognition. We demonstrate that the model is capable of accounting for standard recognition results that are challenging for classic global memory models, and can also explain a wide variety of false recognition effects and make item-specific predictions for critical lures. The model demonstrates that both standard and false recognition results may be explained within a single formal framework by integrating realistic representation assumptions with a simple processing mechanism.