Identifying Components of Administrative Health to Provide a Model for Promoting Administrative Health in the Public Education System of Iran

Subject Areas :

Houshang Shirian ¹ , Badri Shah Talebi ² , Narges Saeidian ³

1 - PhD Student of Educational Management, Faculty of Educational Sciences and Psychology, Islamic Azad University, Isfahan Branch (Khorasgan),
2 - Associate Professor, Department of Educational Management, Faculty of Educational Sciences and Psychology, Islamic Azad University, Isfahan Branch (Khorasgan), Isfahan
3 - Associate Professor, Department of Educational Management, Faculty of Educational Sciences and Psychology, Islamic Azad University, Isfahan

Received: 2021-03-06 Accepted : 2021-05-14 Published : 2021-11-22

Keywords: Administrative Health, Educational System, Administrative Health Promotion,

Abstract :

The aim of this study is to identify the components of administrative health in order to propose a model for promoting administrative health in the Iranian public education system through a heuristic mixed method. In the first (qualitative) phase of the study, thematic analysis was used with an inductive approach. The research environment in the two phases of the study was the resources of reputable websites and scientific databases in the period of time between 2010 and 2019 in the field of administrative health studies. The criterion-based purposive sampling method was applied to study 108 domestic and foreign articles and books, with which the researcher reached theoretical saturation. After coding and classifying 98 primary themes, content validity was determined in two qualitative methods of the themes network with seven general themes and 17 basic themes. In the quantitative phase, the research environment consisted of all members of the educational system in Iran and sample selection was carried out through non-random convenience sampling. A researcher-made 98-item questionnaire was prepared based on a 5-point Likert scale ranging from 1 meaning strongly disagree to 5 standing for strongly agree. Face validity and content validity of the questionnaire used in this study were confirmed by experts. Construct validity of the questionnaire was examined using factor analysis and its reliability was measured through Cronbach's alpha. Values for estimating Cronbach's alpha coefficient for themes higher than 0.75 were reported, indicating a high internal correlation in the basic themes. Data analysis was conducted through descriptive statistical methods for quantitative data including frequency distribution tables and graphs, as well as inferential statistics including confirmatory factor analysis and covariance-based structural equation modeling approach. According to the indicators, the research model had a good fit.