Viida Mirzapour; Iraj Malakmohammadi; Seyed.Mahmood Hosseini
Abstract
Lack of clear and codified scientific methods for agricultural waste management extension education (AWMEE) in the country is the most agricultural impresive problem. Therefore, it is worth considering that by applying an appropriate model of waste management extension education, agricultural development ...
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Lack of clear and codified scientific methods for agricultural waste management extension education (AWMEE) in the country is the most agricultural impresive problem. Therefore, it is worth considering that by applying an appropriate model of waste management extension education, agricultural development will bost in Iran. This applied research was conducted with the aim of designing a structural model Waste Management Extension Education in agricultural Through quasi-experimental method.The statistical population consisted of 242,235 farmers, gardeners and experts of Mazandaran province. In each group, 1061 participants were determined as a sample using Cochran's sampling formula. A questionnaire was used to collect required data. In order to determine validity of the questionnaire, construct validity average variance extracted AVE= 0.6 calculated and to determine the reliability, ordinal alpha coepicient (α=0.80), (θ=0.81) and cumulative reliability coefficient (CR=0.90) were used. Data analyses was performed using LISREL8.8 software for confirmatory factor analysis. results showed that the factor structure and measurement model designed to measure (AWMEE( factors and the data were in good shape for analysis. Results the path analysis showed that at P= 0.05, causing of agricultural waste, agricultural extension education waste management,waste reduction factors have a direct and significant positive effect on agricultural development (t> 1.96) and among them agricultural extension education waste management had the greatest impact on agricultural development (t = 6.53 and β =0.30). Also, based on the results of the final model, it can be said that the factor promoting waste reduction management had the greatest impact on agricultural development.
