Transforming Qualitative Information: Thematic Analysis and Code DevelopmentSAGE, 16 avr. 1998 - 184 pages Thematic 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. The author helps researchers understand thematic analysis, a process that is a part of many qualitative methods, and provides clear guidelines about developing techniques to apply it to one's own research. He 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 research settings. Research-design issues, such as identifying, sampling, scoring and scaling, and reliability are addressed. This original volume confronts the debate between positivist and postmodernist, looking at research in an innovative way, and argues for an ecumenical approach to doing research. |
Table des matières
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 |
Autres éditions - Tout afficher
Transforming Qualitative Information: Thematic Analysis and Code Development Richard E. Boyatzis Affichage d'extraits - 1998 |
Expressions et termes fréquents
ability aggressive behavior Applying the code appropriate asked assess audiotaped Boyatzis Chapter clusters codable code development Coder cognitive competencies conceptual consistency of judgment context criterion variable critical incident interview culture data-driven described determine developing a code developing themes Differentiation-Managers discussed dream analysis effective empathy encoding epistemology example Faculty Indicator individual inductive insight interaction interpersonal interpretation interrater reliability involved issues Jung Jung's Kendall's tau learning managerial managers manifest level McClelland multiple observations organization patterns peak experience person positivist present prior research programmer-analyst qualitative information qualitative methods qualitative research quantitative Question raw information relationships researcher's sensing themes setting Simpson situation social Spearman's rho specific Stage Step stories subsamples systems thinking thematic analysis Thematic Apperception Test thematic code themes and code theory theory-driven code thought tion types typically unit of analysis unit of coding validity various videotaped