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The Routledge Reviewer's Guide to Mixed Methods Analysis

List Price: $89.99
SKU:
9781138305274
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  • Product Details

    Author:
    Anthony J. Onwuegbuzie, R. Burke Johnson
    Format:
    Paperback
    Pages:
    406
    Publisher:
    Taylor & Francis (July 13, 2021)
    Language:
    English
    ISBN-13:
    9781138305274
    Weight:
    33.875oz
    Dimensions:
    8.25" x 11"
    File:
    TAYLORFRANCIS-TayFran_260414043745989-20260414.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $89.99
    As low as:
    $85.49
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Audience:
    Professional and scholarly
    Country of Origin:
    United States
    Pub Discount:
    30
    Case Pack:
    1
    Imprint:
    Routledge
  • Overview

    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.