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The Routledge Reviewer’’s Guide to Mixed Methods Analysis

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The Routledge Reviewer’’s Guide to Mixed Methods Analysis The Routledge Reviewer’’s Guide to Mixed Methods Analysis

出版社:Routledge
出版日期:2021-07-13
語言:英文   規格:精裝 / 576頁 / 普通級/ 初版
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圖書名稱:The Routledge Reviewer’’s Guide to Mixed Methods Analysis

內容簡介

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.

 

作者簡介

Anthony J. Onwuegbuzie holds the following positions: Senior Research Associate, Faculty of Education, University of Cambridge, England; Distinguished Visiting Professor, Department of Educational Leadership and Management/Department of Educational Psychology, University of Johannesburg, Johannesburg, South Africa; Honorary Professor, University of South Africa; Visiting Senior Scholar, St. John’s University, New York; and Honorary Recognised Supervisor (Online), School of Histories, Languages and Cultures, University of Liverpool. He writes extensively on qualitative, quantitative, and mixed methodological topics. With an h-index of 98, he has had published more than 500 works, including more than 350 journal articles, 60 book chapters, and 6 books. He has delivered more than 1,000 presentations, 250 methodological workshops, and 50 keynote addresses worldwide.

R. Burke Johnson (PhD, University of Georgia, Research, Evaluation, Measurement, and Statistics Program) is a Professor in the Department of Counseling and Instructional Sciences, University of South Alabama. He has graduate degrees in methodology, psychology, sociology, and public policy, which give him a multidisciplinary perspective on research methodology. He is coauthor/coeditor of multiple books.

 

詳細資料

  • ISBN:9781138305267
  • 規格:精裝 / 576頁 / 普通級 / 初版
  • 出版地:英國
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