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BUNDLE: Miles: Qualitative Data Analysis 3e + Saldana: The Coding Manual for Qualitative Researchers 2e + Evergreen: Presenting Data Effectively
We offer these texts bundled together at a discount for your students.
Matthew B. Miles, Qualitative Data Analysis A Methods Sourcebook, Third Edition
The Third Edition of Miles & Huberman′s classic research methods text is updated and streamlined by Johnny Saldaña, author of The Coding Manual for Qualitative Researchers . Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition’s presentation of the fundamentals of research design and data management is followed by five distinct methods of exploring, describing, ordering, explaining, and predicting. Miles and Huberman′s original research studies are profiled and accompanied with new examples from Saldaña′s recent qualitative work. The book′s most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called "Writing About Qualitative Research." Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.
Johnny Saldana, The Coding Manual for Qualitative Researchers, Second Edition
The Second Edition of Johnny Saldaña’s international bestseller provides an in-depth guide to the multiple approaches available for coding qualitative data.
Fully up-to-date, it includes new chapters, more coding techniques and an additional glossary. Clear, practical and authoritative, the
In total, 32 coding methods are profiled that can be applied to a range of research genres from grounded theory to phenomenology to narrative inquiry. For each approach, Saldaña discusses the method′s origins, a description of the method, practical applications, and a clearly illustrated example with analytic follow-up.
A unique and invaluable reference for students, teachers, and practitioners of qualitative inquiry, this book is essential reading across the social sciences.
Stephanie D. H. Evergreen, Presenting Data Effectively Communicating Your Findings for Maximum Impact
This is a step-by-step guide to making the research results presented in reports, slideshows, posters, and data visualizations more interesting. Written in an easy, accessible manner, Presenting Data Effectively provides guiding principles for designing data presentations so that they are more likely to be heard, remembered, and used. The guidance in the book stems from the author’s extensive study of research reporting, a solid review of the literature in graphic design and related fields, and the input of a panel of graphic design experts. Those concepts are then translated into language relevant to students, researchers, evaluators, and non-profit workers―anyone in a position to have to report on data to an outside audience. The book guides the reader through design choices related to four primary graphics, type, color, and arrangement. As a result, readers can present data more effectively, with the clarity and professionalism that best represents their work.
Please contact your for more information.
Matthew B. Miles, Qualitative Data Analysis A Methods Sourcebook, Third Edition
The Third Edition of Miles & Huberman′s classic research methods text is updated and streamlined by Johnny Saldaña, author of The Coding Manual for Qualitative Researchers . Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition’s presentation of the fundamentals of research design and data management is followed by five distinct methods of exploring, describing, ordering, explaining, and predicting. Miles and Huberman′s original research studies are profiled and accompanied with new examples from Saldaña′s recent qualitative work. The book′s most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called "Writing About Qualitative Research." Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.
Johnny Saldana, The Coding Manual for Qualitative Researchers, Second Edition
The Second Edition of Johnny Saldaña’s international bestseller provides an in-depth guide to the multiple approaches available for coding qualitative data.
Fully up-to-date, it includes new chapters, more coding techniques and an additional glossary. Clear, practical and authoritative, the
In total, 32 coding methods are profiled that can be applied to a range of research genres from grounded theory to phenomenology to narrative inquiry. For each approach, Saldaña discusses the method′s origins, a description of the method, practical applications, and a clearly illustrated example with analytic follow-up.
A unique and invaluable reference for students, teachers, and practitioners of qualitative inquiry, this book is essential reading across the social sciences.
Stephanie D. H. Evergreen, Presenting Data Effectively Communicating Your Findings for Maximum Impact
This is a step-by-step guide to making the research results presented in reports, slideshows, posters, and data visualizations more interesting. Written in an easy, accessible manner, Presenting Data Effectively provides guiding principles for designing data presentations so that they are more likely to be heard, remembered, and used. The guidance in the book stems from the author’s extensive study of research reporting, a solid review of the literature in graphic design and related fields, and the input of a panel of graphic design experts. Those concepts are then translated into language relevant to students, researchers, evaluators, and non-profit workers―anyone in a position to have to report on data to an outside audience. The book guides the reader through design choices related to four primary graphics, type, color, and arrangement. As a result, readers can present data more effectively, with the clarity and professionalism that best represents their work.
Please contact your for more information.
Paperback
First published November 12, 2013
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About the author
Stephanie D.H. Evergreen
10 books25 followersDr. Stephanie Evergreen is an internationally-recognized speaker, designer, and researcher. She is best known for bringing a research-based approach to helping researcher better communicate their work through more effective graphs, slides, and reports. She holds a PhD in interdisciplinary research, which included a dissertation on the extent of graphic design use in written research reporting. Dr. Evergreen has trained researchers worldwide through keynote presentations and workshops, for clients including Time, Verizon, Head Start, American Institutes for Research, Rockefeller Foundation, Brookings Institute, and the United Nations. She is the 2015 recipient of the American Evaluation Association’s Guttentag award, given for notable accomplishments early in a career. She writes a popular blog on data presentation at StephanieEvergreen.com. Her first book, Presenting Data Effectively: Communicating Your Findings for Maximum Impact, was published by Sage in Fall 2013. Her second book, Effective Data Visualization, was published in Spring 2016. Both books hit #1 on Amazon bestseller lists. Presenting Data Effectively is now in its second edition.
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