This section consists of a thematic analysis process and consists of two sections of coding and analysis of concepts. In coding, all sources were first reviewed and, after reviewing, related resources were identified. Different content from various articles and books was originally lacking in coherence. Each source and reference looked from different angle to the managerial competencies. In the codification process, individual articles and resources considered and taking into account the general concept, selected parts of the text of the sources that were explicitly or implicitly associated with the code. Given the meaning of each concept, a name is assigned to that concept in the text and is included in the explanation in that section of the relevant source. After, with more text encodings, the file was continually being referred to and examined whether the specified section is related to one of the assigned themes or whether a new topic should be determined. During the work, these themes were revised and changed several times (
Table 1).
| Variable | Organizing Themes | Frequency of Codes |
|---|
| Health management | Physical health | 43 |
| Mental health | 23 |
| Happiness | 66 |
| Physical safety | 31 |
As shown in the table above, the theme of health management has four dimensions of physical health with 43 codes, mental health with 23 codes, happiness with 66 code and physical safety with 31 codes.
Parts of the content related to the topic “physical health” are from the source text: Scientific evidence about the relation of the children and adult’s health with washing hands, eating safe water and using a suitable sewage system is very high. In 1990, the World Health Organization (WHO) and the UNICEF developed a joint monitoring program for water supply, sanitation, and hygiene (WASH) across the world. Since that time, the program (WASH) has been a world leader in comparing progress in improving drinking water, sewage, and sanitation in the world. Nutrition is associated with the overall physical health and academic performance (
20). Nutrition is considering as a problematic issue for school children (
21). Food with high sodium, high fat, and low protein profiles are increasingly available and mostly not expensive. Physical activity is related with physical fitness program. However, the children’s consumption of low nutrition-dense foods is increasing and school-aged children spend less hours in doing physical activities (
22).
Parts of the material related to the theme “mental health” from the source text are as follows: Mental health as a large part of the students health, has a complex interaction with physical health and greatly relates success of the students’ School, work and society. Both mental and physical health affect how we think, how we feel, as well as our inner and outer behaviors. Therefore, all children have the right to have a happy and healthy life. When we discuss health, many people think physically and they are less concerned about the importance of mental health. Mental health issues such as low self-esteem, stress, coping with emotional issues has a clear impact on physical health, as well as a lack of physical health can impact on mental health such as stress, depression and anxiety (
23). Mental health, It does not mean having mental illness, but it includes good social communication, emotions, behavioral health, and the ability to adapt to the challenges of life (
24).
Parts of the content related to the theme of “happiness” from the source text are as follows: A high level of happiness is associated with positive outcomes in various aspects of life, such as effective learning, creativity, innovation, good communication, appropriate social behavior, health and longevity (
25). In other words, happiness means how much a person likes his life. Research shows happiness is one of the factors that can improve physical health. Lyubomirsky et al. (
26) examines the role of individual factor in the happiness of individuals. He found that in particular in schools, students can successfully solve many future problems that may have a negative impact on them if they are raised with positive attitudes. If we want students to experience the process of learning in school, we need to bring joy and happiness to the learning environment for them, as well as review the content of education. Today, the use of schools is not for examinations and lessons, but for human development (
27).
Parts of the content related to the topic “physical safety” from the source text are as follows: A secure and safe learning environment suggests that children should be protected from physical harm. Solutions to prevent accidents and injuries in the hands of the “manager” a person who creates calm and security by preventing unsafe situations in school. Unsafe activities and unsafe conditions are one of the major factors in the failure of a manager, which may affect the physical and mental conditions of employees as well as students. Physical infrastructure such as classrooms, staff rooms, toilets, kitchens, drinking rigs, playgrounds and other appliances is proportionate, and adequate to avoid any risk for users. Different standards for building schools are considered, such as: the size of the class with the number of students, the class should have proper roof, window, flooring and also ventilation (
28).
In
Figure 1, the research model is presented for school health management.
Conceptual health management model
The evaluation of the modeling of health management in schools using Smart-PLS software was done in two steps: (A) Validity and reliability evaluation of the model; (B) assessing the structural model. The results of the SmartPLS software evaluated the validity and reliability of the measurement model according to the criteria used in the reflexive and developmental exterior models. In this way, first of all, the accuracy of the relationships in the measurement models is ensured by using reliability and validity criteria, and then the relationship between the structural part is examined and interpreted, and in the final stage, the goodness of fit of the research model is examined.
The fitting of measuring models includes reliability and validity of research structures. The reliability of the test relates precisely to its size and stability. Cronbach’s alpha is a classic criterion for measuring reliability and an internal sustainability assessment index. Internal stability indicates the correlation between a structure and its related indexes. In the case of variables with low number of questions, the alpha coefficient of 0.6 is introduced as the threshold limit of the coefficient and more than 0.7 is a reliable indicator.
In order to determine the reliability of each of the structures, in addition to the traditional Cronbach’s alpha, more modern criterion of composite reliability (CR) has been used. The superiority of this criterion to the Cronbach’s alpha coefficient is that the reliability of the structures is calculated not absolute but with respect to the correlation of their structures. To measure better the reliability of both criteria is used. The composite reliability value above 0.7 for each structure indicates an intrinsic stability for measuring models and indicates a value of less than 0.6 in the absence of reliability (
29). The combined stability values for research structures are higher than 0.8.
After reviewing the reliability criterion, the second criterion is the average variance extracted (AVE). The AVE criterion represents the average of the variance shared between each construct with its own indexes and it should be at least 0.5. In
Table 2. The general criteria of the model’s quality are expressed. Since the values of each of the variables are defined more than the threshold, therefore, the appropriateness of the reliability status and the convergent validity of the research model can be confirmed.
| Variables | AVE | CR | R2 | Cronbach’s Alpha |
|---|
| Physical health | 0.429 | 0.904 | 0.810 | 0.883 |
| Individual and general health | 0.715 | 0.834 | 0.417 | 0.606 |
| Nutrition | 0.476 | 0.859 | 0.929 | 0.805 |
| Physical fitness and physical activity | 0.595 | 0.853 | 0.795 | 0.767 |
| Mental health | 0.542 | 0.949 | 0.701 | 0.942 |
| Psychosocial competence | 0.804 | 0.924 | 0.717 | 0.878 |
| Mental health education | 0.601 | 0.931 | 0.954 | 0.916 |
| Psychosocial interventions and profession treatment | 0.629 | 0.869 | 0.713 | 0.798 |
| Happiness | 0.448 | 0.929 | 0.861 | 0.918 |
| Environmental | 0.582 | 0.871 | 0.597 | 0.816 |
| Educational | 0.560 | 0.879 | 0.822 | 0.828 |
| Emotional | 0.665 | 0.922 | 0.792 | 0.897 |
| Physical safety | 0.727 | 0.914 | 0.583 | 0.874 |
| Standard and argonium | 0.727 | 0.914 | 0.999 | 0.874 |
| Training and preparation contrast with natural disasters | 0.772 | 0.910 | 0.620 | 0.8520 |
In
Table 3, factor load values and
t value for each item are reported. With regard to the results of the output of the SmartPLS software, the perceived school health management framework can be concluded because the magnitude of the load factor of the observed variables and the corresponding variable is appropriate values (mostly higher than 0.7) There are a high correlation and validity between the research questions and sub-components.
| Pre-Organizing Factor | Base Themes | Indicator | Loading | t Value | Sig. | Decision |
|---|
| Physical health | Individual and general health | IG1 | 0.809 | 13.539 | 0.001 | Supported |
| IG2 | 0.881 | 34.112 | 0.001 | Supported |
| Nutrition | N1 | 0.825 | 22.599 | 0.001 | Supported |
| N2 | 0.858 | 29.703 | 0.001 | Supported |
| N3 | 0.748 | 14.268 | 0.001 | Supported |
| N4 | 0.535 | 5.341 | 0.001 | Supported |
| N5 | 0.700 | 13.044 | 0.001 | Supported |
| N6 | 0.459 | 4.245 | 0.001 | Supported |
| N7 | 0.612 | 7.975 | 0.001 | Supported |
| Physical fitness and physical activity | FA1 | 0.630 | 7.151 | 0.001 | Supported |
| FA2 | 0.763 | 15.920 | 0.001 | Supported |
| FA3 | 0.841 | 23.660 | 0.001 | Supported |
| FA4 | 0.834 | 22.091 | 0.001 | Supported |
| Mental health | Psychosocial competence | PC1 | 0.890 | 34.233 | 0.001 | Supported |
| PC2 | 0.897 | 30.894 | 0.001 | Supported |
| PC3 | 0.903 | 38.460 | 0.001 | Supported |
| Mental health education | MHE1 | 0.802 | 10.519 | 0.001 | Supported |
| MHE2 | 0.771 | 13.192 | 0.001 | Supported |
| MHE3 | 0.684 | 8.528 | 0.001 | Supported |
| MHE4 | 0.765 | 15.529 | 0.001 | Supported |
| MHE5 | 0.811 | 13.933 | 0.001 | Supported |
| MHE6 | 0.776 | 13.939 | 0.001 | Supported |
| MHE7 | 0.838 | 20.738 | 0.001 | Supported |
| MHE8 | 0.730 | 11.535 | 0.001 | Supported |
| MHE9 | 0.793 | 14.28 | 0.001 | Supported |
| Psychosocial interventions and profession treatment | PIPT1 | 0.853 | 26.662 | 0.001 | Supported |
| PIPT2 | 0.868 | 32.308 | 0.001 | Supported |
| PIPT3 | 0.803 | 18.875 | 0.001 | Supported |
| PIPT4 | 0.625 | 7.223 | 0.001 | Supported |
| Happiness | Environmental | EN1 | 0.776 | 18.135 | 0.001 | Supported |
| EN2 | 0.809 | 17.618 | 0.001 | Supported |
| EN3 | 0.506 | 4.760 | 0.001 | Supported |
| EN4 | 0.796 | 16.311 | 0.001 | Supported |
| EN5 | 0.875 | 34.220 | 0.001 | Supported |
| Educational | ED1 | 0.583 | 6.325 | 0.001 | Supported |
| ED2 | 0.815 | 16.049 | 0.001 | Supported |
| ED3 | 0.422 | 4.607 | 0.001 | Supported |
| ED4 | 0.884 | 29.934 | 0.001 | Supported |
| ED5 | 0.879 | 28.267 | 0.001 | Supported |
| ED6 | 0.792 | 12.915 | 0.001 | Supported |
| Emotional | EM1 | 0.686 | 10.690 | 0.001 | Supported |
| EM2 | 0.753 | 12.824 | 0.001 | Supported |
| EM3 | 0.837 | 15.645 | 0.001 | Supported |
| EM4 | 0.868 | 33.298 | 0.001 | Supported |
| EM5 | 0.870 | 27.216 | 0.001 | Supported |
| EM6 | 0.864 | 24.620 | 0.001 | Supported |
| Physical safety | Standard and argonium | SA1 | 0.858 | 21.410 | 0.001 | Supported |
| SA2 | 0.882 | 26.813 | 0.001 | Supported |
| SA3 | 0.848 | 23.145 | 0.001 | Supported |
| SA4 | 0.822 | 19.485 | 0.001 | Supported |
| Training and preparation contrast with natural disasters | TPND1 | 0.867 | 22.101 | 0.001 | Supported |
| TPND2 | 0.865 | 27.274 | 0.001 | Supported |
| TPND3 | 0.904 | 28.930 | 0.001 | Supported |
Tables 4 and
5, report the results of a confirmatory factor analysis for the main variables and its sub-components, at the level of dimensions in the school health management model.
| Variable | Indicator | Factor Load | t Value |
|---|
| Physical health | Individual and general health | 0.646 | 7.630 |
| Nutrition | 0.964 | 140.420 |
| Physical fitness and physical activity | 0.892 | 48.612 |
| Mental health | Psychosocial competence | 0.847 | 24.306 |
| Mental health education | 0.977 | 159.102 |
| Psychosocial interventions and profession treatment | 0.844 | 24.465 |
| Happiness | Environmental | 0.733 | 19.628 |
| Educational | 0.907 | 34.987 |
| Emotional | 0.890 | 24.253 |
| Physical safety | Standard and argonium | 1.000 | 8194.908 |
| Training and preparation contrast with natural disasters | 0.788 | 12.981 |
| Variable | Indicator | Factor Load | t Value |
|---|
| School health management | Physical health | 0.900 | 39.420 |
| Mental health | 0.837 | 26.907 |
| Happiness | 0.928 | 52.324 |
| Physical safety | 0.764 | 12.179 |
To evaluate the fit of the structural model, the several criteria is used, the first and most fundamental of which is the z coefficient, or the values of
t values, which are represented by the execution of the bootstrap command of the values on the lines. If the values of t are greater than 1.96, then the correlation between the structures is 95% in the confidence level. In
Figure 2, values are shown to evaluate the structural part of the model. Given that all numbers on the paths are higher than 1.96, this indicates the significance of the paths, the appropriateness of the structural model of the research.
Confirmatory factor analysis
To evaluate the fit of the model in partial least squares, we use the goodness of fit (GOF). In this model, the GOF is equal to 0.64, indicating an upper general fit for the structural model.