Background And Aims: Climate Change (CC) is a worldwide concern with important consequences for Public Health. A more sustainable and responsible way of living is necessary in order to reduce CC consequences, and adequation to this is directly related to risk perception and knowledge about the phenomenon. The aim of this study was to validate a questionnaire to measure the knowledge of Italians on CC and its consequences.

Material And Methods: The questionnaire was administered online to high school students, their parents and teachers that were participating to a meeting at Sapienza University. The questionnaire contained a sociodemographic section and 19 questions on causes and consequences of CC and ways to fight it. The statistical analysis was performed with Statistical Package for Social Sciences (SPSS) version 25.

Results: Sixty-four individuals answered the online questionnaire. The analysis of internal consistency was performed by 12 dichotomous variables that measured the knowledge level on CC. The analysis showed a standardized Cronbach's alpha equal to 0.39, corresponding to a low reliability. When females were excluded, the alpha value rose to 0.497, and ascended to the reliable value of 0.639 when refining the selection of the included questions.

Conclusions: The Cronbach's alpha value found showed a low reliability but achieves acceptable levels when considering only males and excluding some of the initial questions. Future studies should be performed in order to highlight the reliability of this tool to assess the knowledge about CC among the population.

Download full-text PDF

Source
http://dx.doi.org/10.7417/CT.2019.2131DOI Listing

Publication Analysis

Top Keywords

climate change
8
cronbach's alpha
8
low reliability
8
questionnaire
5
perception climate
4
change validation
4
validation questionnaire
4
questionnaire italy
4
italy background
4
background aims
4

Similar Publications

In the face of unabated urban expansion, understanding the intrinsic characteristics of landscape structure is pertinent to preserving ecological diversity and managing the supply of ecosystem services. This study integrates machine-learning-based geospatial and landscape ecological techniques to assess the dynamics of landscape structure in cities of the rainforest (Akure and Owerri) and Guinea savanna (Makurdi and Minna) ecological regions of Nigeria between 1986 and 2022. Supervised classification using the random forest (RF) machine-learning classifier was performed on Landsat images on the Google Earth Engine (GEE) platform, and landscape metrics were calculated with FRAGSTATS to assess landscape composition, configuration, and connectivity.

View Article and Find Full Text PDF

Terrestrial vegetation is a key component of the Earth system, regulating the exchange of carbon, water, and energy between land and atmosphere. Vegetation affects soil moisture dynamics by absorbing and transpiring soil water, thus modulating land-atmosphere interactions. Moreover, changes in vegetation structure (e.

View Article and Find Full Text PDF

The establishment of conservation areas is an important strategy for endangered species conservation. In this study, we investigated the distributions of suitable habitat areas for three level 1 endangered Cupressaceae plants (, , and ) in China and used the Marxan model to delineate the priority conservation areas for each species. The results showed that had the broadest suitable growing area under the current climate in China and is followed by , with an area of 91 × 10 km, and had the smallest suitable habitat areas at only 7 × 10 km.

View Article and Find Full Text PDF

With climate change, the frequency of regions experiencing water scarcity is increasing annually, posing a significant challenge to crop yield. Barley, a staple crop consumed and cultivated globally, is particularly susceptible to the detrimental effects of drought stress, leading to reduced yield production. Water scarcity adversely affects multiple aspects of barley growth, including seed germination, biomass production, shoot and root characteristics, water and osmotic status, photosynthesis, and induces oxidative stress, resulting in considerable losses in grain yield and its components.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!