Causal relationship model of network policy in non-formal skill training

  The aim of the current research was to present the causal relationship model of network policy making in non-formal education in the country. In order to achieve the goal of the research, a sequential mixed method was used, which includes two qualitative and quantitative parts. The qualitative part of extracting the main components and indicators was collected based on thematic analysis method using interviews with experts and policy makers of informal skill training in Iran; The statistical population in the qualitative section was 18 selected faculty members and managers with expertise in the field of skill training, and 286 in the quantitative section. The sampling method in the qualitative part was purposeful and in the quantitative part it was simple random based on Cochran's formula with the number of 165 people. A questionnaire was used to collect data, and 153 people answered the questionnaire questions. This questionnaire has included 45 questions, the validity of which was determined based on the judgment of experts in terms of form and content, and its reliability was determined based on the method of correlation between components (Cronbach's AF). The method of data analysis in the qualitative part was coding the interviews and in the quantitative part, using descriptive and inferential statistics (exploratory and confirmatory factor analysis). The data analysis tool was manual-paper and spss 20 and PLS Smart. The research findings indicate that the network policy model has 9 dimensions and 45 indicators.