Presentation of the management model of self-management drivers of the first secondary schools of Ahvaz city

Subject Areas :

Nasem Jafari ¹ , Gholamhossein Barekat ² , Mohammad Hosseinpour ³

1 - PhD student, Department of Educational Management, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
2 - Associate Professor, Department of Educational Management, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
3 - Associate Professor of Educational Management, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.

Received: 2023-08-03 Accepted : 2023-09-02

Keywords: Self-management of schools, Pishran, research future,

Abstract :

The main purpose of the present research was to present the model of self-management drivers of first secondary schools in Ahvaz city. The research method was quantitative-survey. The present research method is quantitative and has been done with a survey tool. The statistical population included principals of secondary schools in Ahvaz in 1400, and at this stage, Morgan's table was used to determine the sample size. Considering that exact statistics of the number of members of the statistical community were not available. The researcher used the last number of Morgan's table (384) as the sample size.However, the researcher considered the final sample size to be 400 people in order to be more sure of the sample size. The sampling method in this research was simple random and from among the statistical population with the mentioned characteristics. The research tool was a researcher-made questionnaire, which was validated by face validity and reliability with Cronbach's alpha of 0.91. For data analysis, confirmatory factor analysis was used using PLS software. Based on the confirmatory factor analysis approach, the findings showed that the presented model has good validity and fit.The analysis of the mutual effects of drivers showed that economic drivers and policy and decision-making drivers have a great impact on the drivers of school self-management facilities and equipment. Also, the results showed that the drivers of knowledge and information have a strong impact on the drivers of policy and decision-making in the field of school self-governance. Based on the results, it can be said that the issue of school autonomy is affected by various components and indicators that educational management planners can act by prioritizing and adapting various components and indicators to increase the quality of school leadership.