مطالب

This research attempted to examine the underlying construct of writing self-regulation inventory extrapolated to Iranian EFL university context. A total sample of 116 sophomore EFL university learners attending essay writing course participated in this study. They were asked to do an in-class writing task assignment and immediately fill in an inventory. Pearson product-moment correlation and confirmatory factor analysis procedure using principal component analysis were applied to ascertain the relationships among the variables and construct validity of the instrument, respectively. The inventory yielded a strong internal consistency as to make the results of the present study reliable and to prove replication studies justifiable. The highest overall means and internal consistency reliability estimates were recorded both for goal subscale. However, achievement on task was negatively associated with cognitive, meta-cognitive, motivational, and behavioral dimensions of writing self-regulation. The results of factor analysis disclosed that goal, efficacy, meta-cognitive, cognitive, motivational, and behavioral variables are loaded on a single component; that is, they measured the same underlying theoretical construct. On the whole, the findings imply that the construct of writing self-regulation is consistent in EFL university context.

Gulen and Nursi present different images of the combination of Islam and modernity. This article seeks to evaluate the similarities and differences of Nursi and Gulen’s political thought. According to Gulen's claim that Nursi has been his professor, it seems that there is not much difference in their thoughts, but this article show that despite the influence of Gulen's ideas from Nursi and some similarities in their theoretical approaches, there are obvious difference in their thoughts. This article by applying a historical analysis, attempt to examine a comparative study on the religious and political ideas of Gulen and Nursi. The finding if this article shows that the central point of their theories is reliance on science education, Islam minus politics, combination of tradition and modernity, emphasis on democracy, compromise with other religions and Sufi tendencies, but they have many differences in the fields of ethnicity, methodology, etc.

Purpose- Climate change has negative effects on the economic, social, and environmental aspects of rural households. Given the importance of the impact of climate change on the livelihoods of rural people, this study was conducted with the aim of reducing vulnerability and increasing resilience and adaptation to these conditions in Mashhad Township.Design/methodology/approach- The statistical population of the study is 11,706 rural households in Mashhad Township, out of which 372 households were selected proportionally by multistage stratified random sampling based on Cochran’s formula. The main tool of the research was a questionnaire whose validity was examined through content validity, structural validity, and reliability by composite reliability and Cronbach’s alpha (a= 0.9). The data were analyzed using SPSS and LISREL software. To examine the fit of the measurement model of the effects of climate change on sustainable livelihoods, the collected data were analyzed using second-order confirmatory factor analysis with LISREL software.Findings- The results of the study showed that the greatest impact of climate change was on financial capital, including income reduction, increased costs and increased product prices, reduced productivity and employment. In addition, the greatest effects of climate change on social capital include were on reduced sense of belonging and increased dependence on government support; on human capital include a were on reduced health levels and quality of life; and on natural capital include a were on reduced land resources and pressure and occurrence of hazards; and on physical capital were on reduced services and facilities for people. The research findings also showed that the goodness-of-fit indices (AGFI=0.91, GFI=0.91), (NNFI=0.91, CFI= 0.92), and (RMSEA= 0.073, X2/df= 2.97) confirmed an excellent fit of the measurement model of the effects of climate change on sustainable livelihoods with observed data. In addition, the results of structural equation modeling showed that the greatest impacts of climate change among livelihood capitals were respectively related to physical, financial, natural, social and human capitals.