Data Analysis Methods for Qualitative Research: Managing the Challenges of Coding, Interrater Reliability, and Thematic Analysis
Data Analysis Methods for Qualitative Research: Managing the Challenges of Coding, Interrater Reliability, and Thematic Analysis
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定性研究的数据分析方法:应对编码、评估者间可靠性和主题分析的挑战
DOI:
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发表时间:
2018
期刊:
影响因子:
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通讯作者:
Michael J. Belotto
中科院分区:
文献类型:
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作者:
Michael J. Belotto
The purpose of this article is to provide an overview of some of the principles of data analysis used in qualitative research such as coding, interrater reliability, and thematic analysis. I focused on the challenges that I experienced as a first-time qualitative researcher during the course of my dissertation, in the hope that how I addressed those difficulties will better prepare other investigators planning endeavors into this area of research. One of the first challenges I encountered was the dearth of information regarding the details of qualitative data analysis. While my text books explained the general philosophies of the interpretive tradition and its theoretical groundings, I found few published studies where authors actually explained the details pertaining to exactly how they arrived at their findings. Some authors even confirmed my own experience that few published studies described processes such as coding and methods to evaluate interrater reliability. Herein, I share the sources of information that I did find and the methods that I used to address these challenges. I also discuss issues of trustworthiness and how matters of objectivity and reliability can be addressed within the naturalistic paradigm.
DOI:
10.20982/tqmp.08.1.p023
发表时间:
2012
期刊:
Tutorials in quantitative methods for psychology
影响因子:
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作者:
Hallgren KA
通讯作者:
Hallgren KA