1 option
The Routledge reviewer's guide to mixed methods analysis / edited by Anthony J. Onwuegbuzie and R. Burke Johnson.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Mixed methods research.
- Social sciences--Methodology.
- Social sciences.
- Physical Description:
- 1 online resource (0 pages)
- Place of Publication:
- New York ; London : Routledge, Taylor & Francis Group, 2021.
- Summary:
- 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.
- Notes:
- Description based on print version record.
- ISBN:
- 0-203-72943-9
- 1-351-39552-1
- 9780203729434
- OCLC:
- 1259588614
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.