درخت حوزه‌های تخصصی

Introduction: Given the importance of screening as one of the health behaviors in cervical cancer, the aim of this study is to develop and evaluate the psychometric characteristics of Cervical Cancer Screening Behavior Scale (CCSBS). Methods: In this cross-sectional study, 376 women who referred to Javaheri Health Center during the study period due to health problems, were selected through convenience sampling method. Then, the scale was developed and its content and face validities were examined. To ensure divergent and convergent validity, Depression Anxiety Stress Scale (DASS-21) was used. Internal consistency method (Cronbach's alpha) was used to determine the reliability of the questionnaire. Finally, confirmatory factor analysis was used to assess the construct validity of the CCSBS and SPSS and LISREL software were applied for analyzing data. Results: The findings of this study provided strong supports, which confirmed the content and face validities. Regarding the convergent and divergent validity, perceived vulnerability, perceived severity and deterioration, and perceived barriers have a direct and significant relationship with the three variables of depression, anxiety, and stress. On the other hand, perceived motivation had a significant inverse correlation with all three variables of depression, anxiety, and stress. Additionally, perceived self-efficacy had a significant inverse correlation with depression. The results of the Cronbach's alpha indicated the appropriate internal consistency of the whole questionnaire and its components. Cronbach's alpha for the whole questionnaire was 0.78. According to confirmatory factor analysis, the goodness of fit indicators of proposed model was confirmed and the paths were significant. Conclusion: CCSBS is a reliable and valid tool for measuring the screening behavior of cervical cancer in Iranian women and it appears to be a comprehensive and useful tool for assessing women's beliefs related to cervical cancer and cervical cancer screening.

Applying supportive policies by the organization towards human resources can provide a suitable basis for creating mutual benefits. On one hand, this issue will affect their behavioral and functional approaches, and on the other hand, it will determine the type of their perceptions towards the job. Accordingly, in this research, the impact of social support on the job performance of employees by considering the role of job enrichment and innovative work behaviors has been investigated. The statistical population of this research included physical education managers of Iranian universities which 333 people participated in it according to the rule of at least five times the number of statements and with the convenience sampling method. The data collection tool was a standard questionnaire taken from reliable sources including innovative work behaviors scale by De Jong & Den Hartog, (2010), job performance scale by Chirumbolo & Areni, (2010), perceived social support by scale Mack & Rhineberger-Dunn, (2019) and job enrichment scale by Vijay & Indradevi, (2015) and data analysis and hypothesis testing has been done by using the structural equation modeling technique with the partial least squares approach in the PLS software. The research findings indicate that social support has a significant and positive effect on innovative work behaviors, job enrichment and job performance. There is a positive and significant relationship between innovative work behaviors and job enrichment with job performance. Job enrichment and innovative work behaviors play a mediating role in the relationship between social support and job performance.

Given that academic procrastination originates from various factors, two of the most important factors in this field are cyberspace addiction and executive functions. Therefore, this research aims to model structural equations for predicting academic procrastination based on cyberspace addiction and executive functions. The research method is a descriptive-correlation type of structural equation modeling. The statistical population of this research includes 8150 female first-secondary school students in the city of Kerman in the academic year 2022-2023; according to Morgan's table, 384 people have been selected as a sample using stratified random sampling. Widyanto and McMorran's (2004) cyberspace dependence, Brief's (2000) executive functions, and Solomon and Rothbloom's (1984) academic procrastination questionnaires were used to collect data. Data analysis was done with SPSS25 and AMOS24 software, and descriptive and inferential statistics such as mean, standard deviation, and structural equation modeling were used. The research results showed that the model for predicting academic procrastination based on dependence on cyberspace and executive functions has an acceptable fit. There is a significant relationship between cyberspace addiction, executive functions, and academic procrastination (p<0.05), so cyberspace addiction and executive functions simultaneously explain 0.70 of the variance of academic procrastination. Therefore, it can be concluded that the high dependence on cyberspace and spending much time aimlessly in this space cause students to procrastinate in doing their homework and to suffer from a kind of procrastination in academic subjects. Also, defects in executive functions aggravate the academic procrastination of students.