مالک میرهاشمی

Objective: This study aimed to present a structural model of the quality of life for the elderly based on self-care with the mediating role of social support. Methods: The research employed a correlational design using structural equation modeling. The study population consisted of individuals aged 60 to 75 years living in urban homes in Tehran, with 314 participants selected as the research sample. The data collection tools included the Iranian version of the Phillips Social Support Questionnaire (1986), the World Health Organization's Quality of Life Questionnaire (1989), and the Elderly Self-care Questionnaire by Younesi et al. (2020). The statistical technique used was a full latent variable structural equation model, and the data analysis was performed using SPSS version 26, AMOS version 24, and R software version 4.3.1. Examination of the model fit indices indicated that the model overall is in excellent condition for explaining and fitting the data. Findings: The results showed that both social support and self-care have a significant positive effect on the quality of life variable for the elderly. Moreover, the self-care variable also has a significant positive impact on the social support variable at a 95% confidence level. Additionally, the self-care variable significantly affects the quality of life of the elderly through the mediating variable of social support. Conclusion: According to the findings of this study, the mediating role of social support can play a significant role in examining changes in the quality of life of the elderly. It is recommended that the importance of social support be emphasized and taught in elderly care centers and other counseling and guidance centers.

Purpose: Considering the importance of job motivation in educational jobs, the present study was conducted to construct and evaluate the psychometric properties of teachers' job motivation questionnaire. Methodology: The present study was applied in terms of purpose and descriptive-correlational in terms of implementation method. The study population was elementary school teachers in Tehran in 2019-20, which the sample size was estimated 400 people based on Cochran's formula and were selected as a sample by multi-stage cluster random sampling. Data were collected by a researcher-made job motivation questionnaire (49 items) and analyzed by exploratory factor analysis and structural equation modeling in SPSS-22 and AMOS-24 software. Findings: The results showed that teachers' job motivation had 2 factors and 9 components; so that the external factor of job motivation includes four components of school environment, payroll system, leadership style / managerial support and performance appraisal and reward and the internal factor of job motivation includes five components of in-service training, work and cognitive interests, effective communication, perfectionist thoughts and selection and the factor loading of both factors and all nine components were significant at the confidence level of 0.99. Also, the content validity of the instrument was confirmed by experts and the convergent validity of the instrument was confirmed by the correlation coefficient of the score of each factor or component with the total score of the instrument. In addition, Cronbach's alpha reliability for the whole instrument was 0.92, external factor of job motivation 0.85, internal factor of job motivation 0.89 and components of school environment 0.75, payroll system 0.66, leadership style / managerial support 0.91, performance appraisal and reward 0.65, in-service training 0.82, work and cognitive interests 0.90, effective communication style 0.81, perfectionist thoughts 0.83 and selection was 0.71. Conclusion: Teachers' job motivation questionnaire was a valid and reliable instrument. As a result, specialists and planners of the education system can use it to review and evaluate the current situation of teachers' job motivation and provide solutions to strengthen their job motivation.