The Routledge Reviewer's Guide to Mixed Methods Analysis

Herausgeber: Onwuegbuzie, Anthony J.; Johnson, R. Burke

• Broschiertes Buch

Produktbeschreibung

The Reviewerâ s Guide for Mixed Methods Research Analysis is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond.

Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 406
• Erscheinungstermin: 13. Juli 2021
• Englisch
• Abmessung: 277mm x 206mm x 23mm
• Gewicht: 996g
• ISBN-13: 9781138305274
• ISBN-10: 1138305278
• Artikelnr.: 60799080

Autorenporträt

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 100, he has had published more than 500 works, including more than 350 journal articles, 60 book chapters, and six books. He has delivered more than 1,000 presentations, 250 methodological workshops, and 60 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 nine books.

Inhaltsangabe

1. Mapping the Emerging Landscape of Mixed Analysis; Part I: Quantitative
Approaches to Qualitative Data 2. Exploratory Factor Analysis of Text 3.
Correspondence Analysis of Qualitative Data 4. Multidimensional Scaling of
Qualitative Data 5. Cluster Analysis for Mixed Methods Research 6.
Chi-Square Automatic Interaction Detection Analysis of Qualitative Data 7.
Multiple Linear Regression Analysis with Qualitative Data that Have Been
Quantitized 8. Structural Equation Modeling with Qualitative Data that Have
Been Quantitized 9. Hierarchical Linear Modeling with Qualitative Data that
Have Been Quantitized 10. Bayesian Analyses with Qualitative Data 11. Item
Response Theory Integrating Qualitative Data 12. Diachronic Analysis of
Qualitative Data; Part II: Qualitative Approaches to Quantitative Data 13.
Qualitizing Data 14. Coding Techniques for Quantitative and Mixed Data 15.
Mixed Methodological Discourse Analysis; Part III: "Inherently" Mixed
Analysis Approaches 16. Ethnographic Decision Models with Qualitative Data:
A thoroughly Mixed Method 17. Qualitative Comparative Analysis (QCA): An
Integrative Approach Suited for Diverse Mixed Methods and Multimethod
Research Strategies 18. Q Methodology as Mixed Analysis 19. Social Network
Analysis as Mixed Analysis 20. Social Media Analytics as Mixed Analysis 21.
Geographic Information Systems as Mixed Analysis 22. Nonverbal
Communication Analysis as Mixed Analysis 23. Development of a Joint Display
as a Mixed Analysis 24. The Case Comparison Table: A Joint Display for
Constructing and Sorting Simple Tables as Mixed Analysis; Part IV: Use of
Software for Mixed Analysis 25. Mixing Beyond Mixed Methods: QDA Miner,
SimStat and WordStat 26. Using MAXQDA for Mixed Methods Research 27.
Introduction to Dedoose for Mixed Analysis 28. Introduction to ATLAS.ti for
Mixed Analysis 29. Using NVivo for Mixed Methods Research 30. Introduction
to SPSS for Mixed Analysis