Anthropogenic Pollution Validation of Networking Approach in Environmental Policy in IRAN to Decrease Environmental Pollution by Factor Analysis Method Volume 3 (2019) Issue 2, September 2019 2024 01 14 Validation of Networking Approach in Environmental Policy in IRAN to Decrease Environmental Pollution by Factor Analysis Method EN Hosseini Department of Governmental Management, Faculty of Economy and Management, Research and Science Branch, Islamic Azad University, Tehran, Iran Daneshfard Department of Governmental Management, Faculty of Economy and Management, Research and Science Branch, Islamic Azad University, Tehran, Iran Memarzadeh Tehran Department of Governmental Management, Faculty of Economy and Management, Research and Science Branch, Islamic Azad University, Tehran, Iran Bahmanpour Department of Environment, Faculty of Engineering, Islamic Azad University, Shahrood Branch, Shahroud, Iran Journal Article 2024 01 14 the study aimed to validate the proposed model for environmental policy in the country to decrease environmental pollution in form of a network approach. This descriptive-analytical and cross-sectional study was carried out through survey approach. The statistical population of the study consisted of experts and policy makers in the field of environment who had environmental planning and policy making experience at national and regional level. In this research, Structural Equation Method (SEM) was used for analysis. The results showed good and acceptable fit regarding two indices of TLI and CFI (0.93). On the other hand, the number obtained in terms of the GFI index also indicates the relative fitness of the model (0.86). Also, the acceptability of the model is confirmed regarding PNFI and PGFI indices through the obtained numbers which were 0.78 and 0.84, respectively. The achieved value of the RMSEA index (0.073) also indicates that the model is acceptable. Finally, the results of factor analysis showed that this model was fit and all the numbers and parameters were significant. These facts confirm the acceptability and excellent fitness of the model. In sum, among the three main factors related to the data of the network-based environmental policy system, the “intervening conditions” with the factor loading of 0.96 was the best predictors. Out of the 17 measured items, the component of "national maturity" had the highest factor loading and the component of "Eleventh State Environmental Policies" had the lowest factor loading.