The Use of NAQD Hadith Method to Establish Data Validity: A Conceptual Analysis

Nor Hanani Binti Ismail
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Nor Hanani Binti Ismail: School of Languages, Civilization and Philosophy, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah

The Journal of Social Sciences Research, 2018, 230-236 Special Issue: 6

Abstract: Methods that establish data validity that are in tandem with Islamic tasawwur and epistemology are much needed in research, notably Islamic-related research. The data validity method must be able to determine data validity and differentiate between valid and non-valid data from the Islamic perspectives. The Naqd Hadith method is one of the methods employed by Hadith scholars to distinguish between accepted Hadith and rejected Hadith. This method is perceived as robust enough to distinguish between data that is valid or otherwise. The question is what are the Naqd Hadith methods that could be used as a method to establish data validity for Islamic-related studies and Islamic affairs? In what way could these methods be used in Islamic-related studies? There are two objectives in this research. Firstly, to identify the Naqd Hadith method discussed by Hadith scholars. Secondly, to identify emerging techniques extracted from the Naqd Hadith method to establish data validity for Islamic-related research. This research employed archive research to obtain secondary data that are related to Naqd Hadith methods. Data were analysed using content analysis method to obtain Naqd Hadith explicit data. These data were then analysed implicitly, that is, in the context of data validity through textual analysis. This research found that the scholars discussed and utilized eight Naqd Hadith methods. The research further identified 23 techniques from the Naqd Hadith methods that were used to establish validity for Islamic-related research. These findings could guide researchers in obtaining valid data or verifying the data validity in Islamic-related research.

Keywords: School of Languages; Civilization and Philosophy; Universiti Utara Malaysia; 06010 UUM Sintok; Kedah (search for similar items in EconPapers)
Date: 2018
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