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Cargando... Qualitative Data Analysis: An Expanded Sourcebookpor Matthew B. Miles, A. Michael Huberman
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El anlisis cualitativo de datos de Miles, Huberman y Saldaa es el texto de referencia para el anlisis y la presentacin de datos de investigacin cualitativa. La cuarta edicin mantiene el rigor analtico de las ediciones anteriores al tiempo que presenta una variedad de nuevos modelos de visualizacin para la investigacin cualitativa. Se aaden grficos a las ya clsicas ilustraciones de matrices y redes de los coautores originales. Se han revisado sustancialmente cinco captulos, y la bibliografa comentada del apndice incluye nuevos ttulos sobre mtodos de investigacin. Los estudiantes de posgrado y los acadmicos de todas las disciplinas encontrarn en este recurso un compendio innovador de ideas para la representacin y presentacin de datos cualitativos. Como demuestran los autores, cuando los investigadores "piensan en pantalla", sus anlisis de la vida social captan los complejos y vvidos procesos de las personas e instituciones estudiadas.(Traduccin realizada con la versin gratuita del traductor www.DeepL.com/Translator) No se han encontrado descripciones de biblioteca. |
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Google Books — Cargando... GénerosSistema Decimal Melvil (DDC)300.723Social sciences Social Sciences; Sociology and anthropology Social sciences Education And Research Social sciences--research Social sciences--descriptive researchClasificación de la Biblioteca del CongresoValoraciónPromedio:
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This book seems to be the seminal work in its field. The authors share their wisdom and experiences in this accessible textbook, now in a fourth edition. They cover the entire process from design and data collection to building a theory. They talk at length about coding as well as how to present your data. They even have a chapter on writing, with many encouragements to not be boring!
The graphics and illustrations in this book are excellent and inspirational. I am always interested in creating visualizations to communicate research data effectively, and this book provided many muses in that regard. They talked about converting written accounts into concept maps and linking those to address “influences and affects” of a weak sort of causality. This book helped slow my mind down about the many moving parts in qualitative research so that I can focus more on a work’s reality and substance.
This book is obviously geared towards researchers, whether new or old. The writing and presentation are accessible enough so that graduate students would be well-served by reading this work. Practitioners, of course, can benefit as well, but they likely would have read one of the prior three editions of this book. Those who, like me, are involved in other parts of the research enterprise can learn about their colleagues’ work, too. Finally, those who spend significant time building visuals to communicate concepts can learn from these authors’ analytical techniques.
After finishing this work, I’m inspired about the myriad of ways non-quantitative data can be analyzed and concisely communicated to readers – especially in ways that aren’t written prose. Poetry, artful presentations, summarizing graphics, and matrix-tables together can create a mosaic to comport meaningful and accurate understanding to readers. My personal bar has been raised, and I suspect many other readers’ bars will be, too. ( )