Aggression toward teachers is linked to burnout and disengagement from teaching, but a positive school climate may reduce aggression and associated teacher distress. Using authoritative school climate theory, the study examined whether schools with high disciplinary structure and student support were associated with less aggression and less distress. The sample of 9,134 teachers in 389 middle schools came from the Virginia Secondary School Climate Survey, a statewide survey administered to all public schools with 7th and 8th grade enrollment. The majority of teachers (75%) were female. More than half (53%) reported that they had more than 10 years of teaching experience; 23% reported 6 to 10 years; 24% reported 1 to 5 years. Students reported on the degree to which their schools were structured and supportive. Teachers reported on their experiences of aggression by students, their level of distress, and their feelings of safety. Staff-related infractions computed from Department of Education records were also used. Multilevel modeling revealed that teachers in authoritative schools experienced less aggression and felt safer and less distressed. Lower aggression by students mediated the association between more authoritative schools and lower distress such that more structured and supportive schools had greater teacher safety and, in turn, less distress. The findings support the idea that more structured and supportive schools relate to greater safety for teachers and, in turn, less distress. Research limitations and implications for practice are discussed.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1037/spq0000132 | DOI Listing |
Ecology
January 2025
Securing Antarctica's Environmental Future, School of Biological Sciences, Monash University, Melbourne, Victoria, Australia.
Antarctica is one of Earth's most untouched, inhospitable, and poorly known regions. Although knowledge of its biodiversity has increased over recent decades, a diverse, wide-ranging, and spatially explicit compilation of the biodiversity that inhabits Antarctica's permanently ice-free areas is unavailable. This absence hinders both Antarctic biodiversity research and the integration of Antarctica in global biodiversity-related studies.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Department of Geomatics Engineering, Hacettepe University, 06800, Beytepe, Ankara, Türkiye.
This study presents a hybrid methodology for planning green spaces to enhance urban sustainability and livability, evaluating the impacts of climate change on cities. Cities, once accommodating a small population, have become major centers of migration and development since the eighteenth century. Rapid urban growth intensifies infrastructure, environmental, and social challenges.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Department of Medicine and Population Health, Institute for Excellence in Health Equity, New York University Grossman School of Medicine, New York, NY, USA.
The Journal of General Internal Medicine (JGIM) has a long-standing history of publishing manuscripts focused on health equity and is committed to diversity, equity, and inclusion (DEI) in scientific writing and publishing. This is extremely important in the current climate where false narratives and attacks on DEI and health equity are rampant. To demonstrate their commitment to DEI and health equity, the JGIM Editors-in-Chief created an inaugural DEI Advocacy Team.
View Article and Find Full Text PDFEcohealth
January 2025
Guangxi Key Laboratory for Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, Guangxi, 530000, People's Republic of China.
Chytridiomycosis is a wildlife disease that has caused significant declines in amphibian populations and species extinctions worldwide. Asia, where the causal pathogens Batrachochytrium dendrobatidis (Bd) and B. salamndrivorans (Bsal) originated, has not witnessed mass die-offs.
View Article and Find Full Text PDFAir conditioning systems are widely used to provide thermal comfort in hot and humid regions, but they also consume a large amount of energy. Therefore, accurate and reliable load demand forecasting is essential for energy management and optimization in air conditioning systems. Within the current paper, a novel model on the basis of machine learning has been presented for dynamic optimal load demand forecasting in air conditioning systems.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!