After identifying all the terms related to women from the interpretations of Al-Mizan and Sample, the categories as class (10 classes) and subcategories as subclass (237 subclasses), to draw the semantic network.Ĭonclusion: The total number of categories extracted in the field of women is equal in both interpretations, but the number of sub-categories in the Nemooneh is more than the Al-Mizan. After identifying all the terms of related to women from the interpretations of Al-Mizan and Nemooneh, the categories as class (10 classes) and subcategories as subclass (237 subclasses), the semantic network was drawn. In both interpretations, the categories of core are the same and common, and the category of "issues and characteristics related to women" with a frequency of 64 is verbal (30.33% of the total verbal verses extracted) and 393 times implicitly (18.60% of all implicit verses extracted), has the highest frequency. Results: The total number of categories related to women to be equal in both Tafsir al-Mizan and Nemooneh (10 categories), while Tafsir Nemooneh had a larger number of subcategories (237) than Tafsir al-Mizan (215). MAXQDA, SPSS 20 and Protégé 5.5.0 software were used for data analysis. The present study’s population included all the verses of the Holy Quran and 21 experts in Quranic studies and women and family studies for the qualitative section. The qualitative method uses qualitative content analysis and the Delphi approach. So let's start with a general category: animal. The first semantic network model was hierarchical, meaning that they thought concepts were organized from higher order categories down to lower order categories and their exemplars. Methodology: This study is applied in terms of purpose and a hybrid quantitative and qualitative content analysis in terms of methodology. Let me show you an example to make this a little more concrete. Objective : The aim of this study is to identify the verbal and implicit meanings of concepts related to women (based on the interpretations of Al-Mizan and Nemooneh) to draw a semantic network. content dictionaries, word-based analysis, and semantic network analysis.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |