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VOL. 3, ISSUE 2 (2018)
Saturation in qualitative research: Considerations and limitations
Authors
Pratap Chandra Mandal
Abstract
Researchers have diverse opinions regarding the measurement of quality in qualitative research. Measurement of quality in qualitative research cannot be done as it is done in quantitative research. Nevertheless, researchers have proposed various frameworks which are available for the measurement of quality in qualitative research. One such important and somewhat neglected argument relates to the application of data saturation for the measurement of quality in qualitative research. While it developed originally from Grounded Theory, the meaning of data saturation has evolved and become transformed. Data saturation is increasingly accepted by researchers as a marker of quality and sample adequacy in qualitative research. In this article, various issues with the acceptance and application of saturation are discussed. Based on the arguments, it is proposed that the concept of saturation as a marker of quality in qualitative research needs to be applied with caution.
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Pages:624-628
How to cite this article:
Pratap Chandra Mandal "Saturation in qualitative research: Considerations and limitations". International Journal of Academic Research and Development, Vol 3, Issue 2, 2018, Pages 624-628
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