Rabu, 27 Desember 2017

Ebook Qualitative Content Analysis in PracticeBy Margrit Schreier

Ebook Qualitative Content Analysis in PracticeBy Margrit Schreier

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Qualitative Content Analysis in PracticeBy Margrit Schreier

Qualitative Content Analysis in PracticeBy Margrit Schreier


Qualitative Content Analysis in PracticeBy Margrit Schreier


Ebook Qualitative Content Analysis in PracticeBy Margrit Schreier

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Qualitative Content Analysis in PracticeBy Margrit Schreier

This book takes students step-by-step through the process of doing qualitative content analysis. Margrit Schreier show how to: create a coding frame; segment the material; try out the coding frame; evaluate the trial coding and then carry out the main coding; and consider what comes next. She also discusses software choices for doing qualitative content analysis. Each part of the process is described in detail and research examples are provided to illustrate each step. Frequently asked questions are answered, the most important points are summarized, and end of chapter questions provide an opportunity to check for understanding.

  • Amazon Sales Rank: #7737312 in Books
  • Brand: Brand: SAGE Publications Ltd
  • Published on: 2012-03-05
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.50" h x .90" w x 6.70" l, 1.35 pounds
  • Binding: Hardcover
  • 280 pages
Features
  • Used Book in Good Condition

Review This book provides a well written, clear and detailed account of QCA, highlighting the value of this research method for the analysis of social, political and psychological phenomenaTereza CapelosUniversity of Surrey

Schreier writes clearly and with authority, positioning QCA in relation to other qualitative research methods and emphasising the hands-on aspects of the analysis process. She offers numerous illuminating examples and helpful pedagogical tools for the reader. This book will thus be most welcomed by students at different levels as well as by researchers.

Ulla Hällgren GraneheimUmeå University, Sweden

This book has been written for students but would be of value to anyone considering using the analysis method to help them reduce and make sense of a large volume of textual data. [...]The content is detailed and presented in text-book style with key points, definitions and beginners’ mistakes scattered throughout and frequently asked questions and end of chapter questions. These break up the text but also help when skimming. In addition, and what I found particularly valuable, was the liberal use of examples drawn from published papers. These really help to clarify and bring to life the issues raised.

(Nicola Singleton 2013-10-24)

About the Author Margrit Schreier is Professor of Empirical Methods at Jacobs University Bremen. She started out with a BA in English Language and Literature (at New College, Oxford), before she went on to study Psychology at Heidelberg University (Dipl. Psych., Dr.) where she first became interested in qualitative research methods. She was also co-director of the Methods Center of the Bremen International Graduate School of Social Sciences (BIGSSS) and Editor-in-Chief of the Journal of Media Psychology. She has taught research methods courses for 15 years, including qualitative methods, experimental design, and mixed methods, to students from a variety of social science disciplines, and has given workshops on qualitative content analysis and other methods topics at GESIS, the Leibniz Institute for the Social Sciences, for more than five years. Her other research interests include the didactics of teaching qualitative research methods, media reception, the empirical study of literature, and health-related research. She has been a principal investigator in several DFG-funded research projects on these topics, and she has authored and co-authored an introductory methods textbook and more than 90 book chapters and articles. When she is not working, she enjoys cooking and photography. She is also a homeopath and has been surprised to find that homeopathy allows her to apply many of her methods skills - including qualitative content analysis!

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