Transforming Qualitative Information: Thematic Analysis and Code DevelopmentThematic analysis, a process for encoding qualitative information can be thought of as a bridge between the language of qualitative research and the language of quantitative research. Author Richard E. Boyatzis helps researchers understand thematic analysis a process that is a part of many qualitative methods and provides clear guidelines about learning to develop techniques to apply it to one's own research. Transforming Qualitative Information shows how to sense themes, the first step in analyzing information as well as how to develop codes, through the use of numerous examples from myriad research settings. Research design issues that are essential to rigorous and high-quality use of qualitative information are addressed, such as identifying, sampling, scoring and scaling, and reliability. This original volume confronts the debate between positivist and postmodernist looking at the research act in an innovative and fresh way. Boyatzis argues for an ecumenical approach to doing research. His book will be invaluable to researchers across a broad spectrum of disciplines and approaches. |
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內容
Developing Themes and Codes | 29 |
Deciding on Units of Analysis and Units | 54 |
Developing Themes and a Code Using | 67 |
Developing Themes Using the TheoryDriven | 99 |
Scoring Scaling and Clustering Themes | 128 |
Reliability Is Consistency of Judgment | 144 |
Challenges | 160 |
169 | |
175 | |
About the Author | 183 |
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常見字詞
ability action agreement allows appear apply approach appropriate asked assess become behavior called Chapter clusters code development Coder collection communication compared competencies conceptual concern considered consistency create culture described desirable determine discussed dreams effective established example exercise experience Faculty feel findings identified important incident Indicator individual insight intent interaction interpretation interview involved issues judgment learning looking managers material meaning measures methods multiple Note observations organization patterns peak experience performance person phenomenon positive possible present qualitative Question raw information relationships reliability requires responsibility sampling score sense setting showed Simpson situation social specific Stage Step stories subsamples Table thematic analysis thematic code themes theory things thought tion types typically understand unit of analysis unit of coding validity variable various