Qualitative data analysis and its nature: debates and discussion

Pratap Chandra Mandal
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引用次数: 1

Abstract

Qualitative data analysis (QDA) involves data collection and data analysis which comprises of coding, sorting, and sifting of qualitative data. QDA involves a style of data collection and analysis which is considered as non-scientific by some critics. It is believed that this challenges or weakens the robustness and the reliability of qualitative research. Critics frequently ignore the extraordinary set of strengths and potentiality that QDA has in the field of social science research. This paper aims to address this debate by analysing the nature and quality of the methods employed in qualitative research. It analyses and evaluates the different approaches and perspectives of QDA. The paper argues and establishes that QDA has significantly broader perspectives and research capacity, and involves more than coding, sorting, and sifting of qualitative data.
定性数据分析及其性质:辩论和讨论
定性数据分析(QDA)涉及数据收集和数据分析,包括定性数据的编码、排序和筛选。QDA涉及一种数据收集和分析风格,被一些评论家认为是不科学的。人们认为,这挑战或削弱了定性研究的稳健性和可靠性。批评者经常忽视QDA在社会科学研究领域的非凡优势和潜力。本文旨在通过分析定性研究中使用的方法的性质和质量来解决这一争论。分析和评价了QDA的不同方法和视角。该论文认为并确立了QDA具有更广泛的视角和研究能力,涉及的不仅仅是定性数据的编码、排序和筛选。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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