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Showing 2 results for Qualitative Content Analysis

Yazdan Mansourian, Omid Alipour,
Volume 1, Issue 1 (4-2014)
Abstract

Background and Aim: The present study aims to explore the coverage and reflection of Knowledge and Information Science news in the Iranian press. Iran Newspaper which is one of the main public newspapers in the country has been selected as the case for this study.

Method: This study used content analysis as its research methodology and adopted an inductive approach in data analysis. All the pages of this newspaper during a year (from March 2011 to March 2012), were downloaded from the newspaper website and their contents were inductively analyzed to identify Knowledge and Information Science related news.

Results: Iran Newspaper, as one of the most well-known and public press in the country, has covered the Knowledge and Information Science news with a reasonable coverage and comprehensiveness. However, the reports are mainly descriptive with less analytic perspective and there is a gap for more analytical news. The collected data were categorized into seven categories and all the concepts and subcategories were presented in the tables. The main identified categories in this study include: Tehran International Book events, other book exhibitions and cultural events, meetings and book awards, reflection of the news related to book and publication industry, scientometrics, reading and its promotion and hinders.

Conclusion: There is a gap of the news from ILISA (Iranian Library and Information Science Association) and also popular notes written by Knowledge and Information Science scholars, librarians and Knowledge and Information Science students. As a result it seems ILISA could be more active in publishing its news and use popular press to introduce this area to the public and promotes its activities in the public domains. 


Ali Abdollahi Neisiani, Ali Rezaeian,
Volume 4, Issue 2 (9-2017)
Abstract

Background and Aim: The current study aimed to investigate "ambiguous aversion behavior" based on Quran explains. The lack of "Descriptive Models of Human Behaviour" (DMHB) is one of the oldest anomalies in behavioral sciences. It's because different scientific demands to understand, predict and control human behavior. Specially, ambiguous aversion that is a common behavior and extremely influences different scientific issues.
Methods: The methodology and all the steps of this research in preparing, organizing text, studying, and documentation, coding, abstraction and final conclusions are based on qualitative content analysis. The model is identified and explained thorough the deep studies in scientific literature of DMHB and Quran text. Quran in this research is the source of idea to find DMHB; also the guide of explaining DMHB.
Results: The results showed that 814 phrase of Quran (Ayah) are related to DMHB and ambiguous aversion behavior. The final model could be explained in the scientific standard structure -as "Ideal Type of DMHB"- so its Comprehensiveness to explain a behavioral model is approved.  Also, its relations to other renowned theories is discussed.
Conclusion: According to the results, in this paper we developed new model of "Ambiguous Aversion" that describes why people tend to resist against changes and ambiguous situations; and what their behavioral strategies are. The basic reason of ambiguous aversion is avoiding uncertainty to owning utilities. And human feels uncertainty when he feels situational changes. His behavioral strategies against change are: change denial, interpreting not important change, change resistance. Also his direct behavioral strategies against ambiguous are: clarification, Risk coverage and resource possessing. 



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