طراحی و ارزیابی الگوی سنجش دینداری با رهیافت بومی؛ با تأکید بر بعد معرفتی.

Autor: محمد یاری بیگی در, محمد سید غراب, مهدی وحیدی اصل
Zdroj: Journal of Social Theories of Muslim Thinkers; Apr2024, Vol. 14 Issue 1, p38-65, 28p
Abstrakt: Attention to research in the field of religious studies has not only a declining trend, but we can see the quantitative and qualitative growth of this researches, especially the research about the types, amount and changes of religiosity in recent decades. Among these, one of the most fundamental challenges in the field of religious studies is the design of indigenous indicators that are appropriate to the cultural, historical and social contexts. Although in Iran, in the last two decades, valuable efforts have been made in this field; But still, the designed indicators have not been able to gain general acceptance and usage. On the other hand, religion and consequently religiosity can be classified and studied in three cognitive - epistemic, emotional or behavioral dimensions. In the studies that have presented the scale about religiosity, the effort to present the scale in all three dimensions has reduced the accuracy and detailed discussion in each of these mentioned dimensions. Therefore, the need to pay more detail about each of these dimensions in the topics related to religiosity is felt. so, the aim of this article is to provide Indigenous indicators with an emphasis on the epistemic dimension of religiosity. In this research, first through theoretical studies, 81 indicators were calculated to measure religiosity and were evaluated during 20 exploratory interviews. Then, 23 components under 6 more frequent and more important axes were identified, which can be used as an indicator to measure epistemic religiosity in different statistical societies. These components are: "attitude towards religion", "expectation from religion", "epistemic foundations", "anthropological foundations", "meaning and purpose of life", "man's understanding of ethical foundations". [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index