There has been debate regarding the factor structure of the Children's Coping Strategies Scale (CCSS); in most previous studies there were different subscales, representing coping strategies. However, according to the theoretically multidimensional construct of coping, coping consists of an adaptive process and uses the lowest possible level of coping strategy. Accordingly, this study applies a new method of multidimensional item response theory (MIRT) to testing the latent structure of teenagers' coping strategies and to improve the construct validity of the CCSS. The participants were 1,138 16-year-old high school students (48.2% female, 51.8% male) studying arts and science. This study compares three different model types: a unidimensional model, a simple multidimensional construct model, and a bifactor model. The results indicate that the latent structure of CCSS is not only described by specific coping strategies (e.g., rumination) but also by a general adaptation process, which is consistent with theoretical understandings of coping. Furthermore, the five-factor model, which contains a "reflection" dimension, is more suitable for Chinese teenagers.
With schools closed due to the COVID-19, many children have been exposed to media devices for learning and entertainment, raising concerns over excessive screen time for young children. The current study examined how preschoolers’ screen time was associated with their family characteristics and anxiety/withdrawal and approaches to learning during the COVID-19 pandemic. Participants were 764 caregivers of 3- to 6-year-old children (mean age = 59.07 months, SD = 12.28 months; 403 boys and 361 girls) from nine preschools in Wuhan, China, where the pandemic started. The effects of family characteristics on children’s screen time during the pandemic outbreak and the associations between screen time and children’s anxiety/withdrawal and approaches to learning were examined using path analysis. The results showed that children who spent more time on interactive screen use (e.g., playing with tablets) showed higher levels of anxiety/withdrawal and fewer positive learning behaviors. Unexpectedly, children who spent more time on noninteractive screen use (e.g., watching TV) showed lower levels of anxiety/withdrawal. Additionally, children’s screen time was related to family characteristics: children living in more chaotic families with fewer screen time restrictions spent more time on screen use after the pandemic outbreak. The findings suggest that young children’s frequent use of interactive screens, such as tablets and smartphones, might be harmful to their learning and wellbeing during the pandemic. To mitigate the potential negative effects, it is essential to manage the screen time of preschoolers by establishing rules for their interactive screen use and improving the household routines related to the overall screen use.
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