A Phronetic Iterative Approach to Data Analysis in Qualitative Research
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This essay lays out a pragmatic and easy-to-understand method for analyzing qualitative data. First, I provide an overview of the phronetic iterative approach to qualitative data analysis, distinguishing it from other approaches and showing its unique value as an umbrella framework that can be utilized by a range of qualitative researchers. Then I explain and provide examples of key steps of the phronetic iterative approach. These include how and when to: 1) iteratively code data into descriptive first-level codes and analytic second-level codes, 2) craft a qualitative codebook, and 3) engage in intercoder reliability practices. Finally, I overview techniques for synthesizing and focusing the analysis, through writing analytic memos, engaging in practices such as theoretical sampling, negative case analysis and parameter setting, and writing a loose analysis outline. The phronetic iterative approach-which can be used on its own or in complement with other data analysis methods-is designed to encourage researchers to jump into their analysis activities sooner rather than later and to feel comfortable in learning by doing.
Abstract
This essay lays out a pragmatic and easy-to-understand method for analyzing qualitative data. First, I provide an overview of the phronetic iterative approach to qualitative data analysis, distinguishing it from other approaches and showing its unique value as an umbrella framework that can be utilized by a range of qualitative researchers. Then I explain and provide examples of key steps of the phronetic iterative approach. These include how and when to: 1) iteratively code data into descriptive first-level codes and analytic second-level codes, 2) craft a qualitative codebook, and 3) engage in intercoder reliability practices. Finally, I overview techniques for synthesizing and focusing the analysis, through writing analytic memos, engaging in practices such as theoretical sampling, negative case analysis and parameter setting, and writing a loose analysis outline. The phronetic iterative approach-which can be used on its own or in complement with other data analysis methods-is designed to encourage researchers to jump into their analysis activities sooner rather than later and to feel comfortable in learning by doing.
참고문헌 (51)
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