The present investigation aims to inquire about the capacity of three implicit instruments to measure the attitude toward natural and urban environments. One hundred and three students from a Mexican public university participated in the investigation. The implicit instruments used were the affective priming technique, the implicit association test, and the affect misattribution procedure. Further, an explicit scale was used for comparison. The results showed that all instruments converge in the same way; the nature images were viewed as more pleasant compared to the city images. Also, most results indicated good effect size values, observed power, and reliability, with the exception of the affective priming technique, which established low values. In addition, all instruments indicated weak correlations between each other. The results were discussed in terms of the capacity of the instruments to measure environmental attitudes, and also possible theoretical and methodological implications.

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ResumenSe presenta un estudio descriptivo y de simulaciones con redes bayesianas, en el cual se analiza la percepción y conducta ambiental de un grupo de 471 estudiantes universitarios de dos escuelas de una universidad pública mexicana. Se encuestó a los participantes y, en base a sus respuestas, se construyó una red bayesiana con la finalidad de determinar las relaciones de dependencia entre las variables. Los resultados mostraron que existe una percepción clara sobre el cambio climático, así como conductas acordes con la problemática ambiental en casi todos los casos. La red bayesiana indicó que las variables que presentan una mayor dependencia fueron de poseer árboles y utilizar luces ahorradoras. Se discuten los resultados en relación a otras investigaciones, así como su utilidad en términos de análisis estadísticos y ecológicos.Palabras clave: percepción ambiental, conducta ambiental, red bayesiana. AbstractA 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.

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