Studying cross-cultural differences in temperament in toddlerhood: United States of America (U.S.) and Italy.

Cross-cultural differences between matched samples (N=306) of Italian and U.S. toddlers were evaluated. Italian toddlers received higher scores on cuddliness, impulsivity, low intensity pleasure, perceptual sensitivity and positive anticipation, whereas US toddlers were higher on frustration, high-intensity pleasure, inhibitory control, shyness, and soothability.

Seasonal variation, weather and behavior in day-care children: a multilevel approach.

This study analyzes the effect of weather variables, such as solar radiation, indoor and outdoor air temperature, relative humidity and time spent outdoor, on the behavior of 2-year-old children and their affects across different seasons: winter, spring and summer. Participants were a group of 61 children (33 males and 28 females) attending four day-care centers in Florence (Central Italy). Mean age of children at the beginning of the study was 24.1 months (SD = 3.6). We used multilevel linear analyses to account for the hierarchical structure of our data. The study analyzed the following behavioral variables: Activity Level, Attentional Focusing, Frustration, and Aggression. Results showed a different impact of some weather variables on children's behavior across seasons, indicating that the weather variable that affects children's behavior is usually the one that shows extreme values during the studied seasons, such as air temperature and relative humidity in winter and summer. Studying children and their reactions to weather conditions could have potentially wide-reaching implications for parenting and teaching practices, as well as for researchers studying social relationships development.

The measurement of cyberbullying: dimensional structure and relative item severity and discrimination.

In relation to a sample of 1,092 Italian adolescents (50.9% females), the present study aims to: (a) analyze the most parsimonious structure of the cyberbullying and cybervictimization construct in male and female Italian adolescents through confirmatory factor analysis; and (b) analyze the severity and the discrimination parameters of each act using the item response theory. Results showed that the structure of the cyberbullying scale for perpetrated and received behaviors in both genders could best be represented by a monodimensional model where each item lies on a continuum of severity of aggressive acts. For both genders, the less severe acts are silent/prank calls and insults on instant messaging, and the most severe acts are unpleasant pictures/photos on Web sites, phone pictures/photos/videos of intimate scenes, and phone pictures/photos/videos of violent scenes. The items nasty text messages, nasty or rude e-mails, insults on Web sites, insults in chatrooms, and insults on blogs range from moderate to high levels of severity. Regarding the discrimination level of the acts, several items emerged as good indicators at various levels of cyberbullying and cybervictimization severity, with the exception of silent/prank calls. Furthermore, gender specificities underlined that the visual items can be considered good indicators of severe cyberbullies and cybervictims only in males. This information can help in understanding better the nature of the phenomenon, its severity in a given population, and to plan more specific prevention and intervention strategies.

Weather daily variation in winter and its effect on behavior and affective states in day-care children.

This study aimed to analyze the impact of winter weather conditions on young children's behavior and affective states by examining a group of 61 children attending day-care centers in Florence (Italy). Participants were 33 males, 28 females and their 11 teachers. The mean age of the children at the beginning of the observation period was 24.1 months. The day-care teachers observed the children's behavioral and emotional states during the morning before their sleeping time and filled in a questionnaire for each baby five times over a winter period of 3 weeks. Air temperature, relative humidity, air pressure and solar radiation data were collected every 15 min from a weather station located in the city center of Florence. At the same time, air temperature and relative humidity data were collected in the classroom and in the garden of each day-care center. We used multilevel linear models to evaluate the extent to which children's emotional and behavioral states could be predicted by weather conditions, controlling for child characteristics (gender and age). The data showed that relative humidity and solar radiation were the main predictors of the children's emotional and behavioral states. The outdoor humidity had a significant positive effect on frustration, sadness and aggression; solar radiation had a significant negative effect only on sadness, suggesting that a sunny winter day makes children more cheerful. The results are discussed in term of implications for parents and teachers to improve children's ecological environment.