Rigorous Integrated Generalized (RIG) Qualitative Assessment
AbstractQualitative research in development sector is an important paradigm which is used standalone or in conjunction with quantitative research. There is quantitative-qualitative paradigmatic divide on the basis of ontology, epistemology and methodology which explains the strengths and limitations of both paradigms. However, the significance of pragmatism in research sector drags qualitative paradigm under criticism as the traditional notions of validity and reliability do not fit in this paradigm. This paper attempts to instill rigor in qualitative research and uses Integrated Generalization design to derive both theory and generalizable result. On this ground, the paper proposes Rigorous Integrated Generalized (RIG) model for qualitative assessment. [Discussion Paper No.4]
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Bibliographic InfoPaper provided by eSocialSciences in its series Working Papers with number id:2771.
Date of creation: Aug 2010
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Qualitative research; Rigor; Integrated Generalization design; Validity; Reliabilty;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-08-21 (All new papers)
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- Sonali K. Shah & Kevin G. Corley, 2006. "Building Better Theory by Bridging the Quantitative-Qualitative Divide," Journal of Management Studies, Wiley Blackwell, vol. 43(8), pages 1821-1835, December.
- Joanna Sale & Lynne Lohfeld & Kevin Brazil, 2002. "Revisiting the Quantitative-Qualitative Debate: Implications for Mixed-Methods Research," Quality & Quantity: International Journal of Methodology, Springer, vol. 36(1), pages 43-53, February.
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