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The Routledge Reviewer's Guide to Mixed Methods Analysis.
・ISBN 978-1-138-30526-7 hard GB£ 210.00
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・ISBN 978-1-138-30527-4 paper GB£ 70.99
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電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-0-203-72943-4
| 著者・編者 | Onwuegbuzie, Anthony J. / Johnson, R. Burke (eds.), |
|---|---|
| 出版社 | (Routledge, UK) |
| 出版年月 | 2021.04 |
| ページ数 | 406 pp. |
| 言語 | ENG |
| ニュース番号 | <660-P87 661-L43> |
解説
The Routledge Reviewer's Guide to Mixed Methods Analysis is a groundbreaking edited book - the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis.
Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS).
The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs.
Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.