A descriptive study with Bayesian network simulations is presented, in which the perception and environmental behavior of a group of 471 students from two schools of a Mexican public university were analyzed. All participants were surveyed, and a Bayesian network was built with the survey data, aiming to determine dependency relationships among variables. The results showed a clear perception about climate change and behaviors consistent with environmental problems in almost all the cases. The Bayesian network indicated that the variables that present a higher dependence were: to own trees and to use energy saving bulbs. Results are discussed in relation with other investigations and their utility in terms of statistical and ecological analysis.
Sánchez, M. P., de la Garza-González, A., & Rodríguez, M. C. (2015). Bayesian network analysis of environmental perception and behavior. Revista De Psicología, 23(2). https://doi.org/10.5354/0719-0581.2014.36148