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The Routledge Reviewers Guide To Mixed Methods Analysis Anthony J Onwuegbuzie

  • SKU: BELL-34015942
The Routledge Reviewers Guide To Mixed Methods Analysis Anthony J Onwuegbuzie
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The Routledge Reviewers Guide To Mixed Methods Analysis Anthony J Onwuegbuzie instant download after payment.

Publisher: Routledge
File Extension: PDF
File size: 19.23 MB
Author: Anthony J. Onwuegbuzie, R. Burke Johnson
ISBN: 9780203729434, 9781138305267, 9781138305274, 0203729439, 113830526X, 1138305278
Language: English
Year: 2021

Product desciption

The Routledge Reviewers Guide To Mixed Methods Analysis Anthony J Onwuegbuzie by Anthony J. Onwuegbuzie, R. Burke Johnson 9780203729434, 9781138305267, 9781138305274, 0203729439, 113830526X, 1138305278 instant download after payment.

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.

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