Surveying the differing viewpoints and disciplinary approaches to using mixed methods, this volume helps readers explore the answers to a wide range of key questions in the field, including "Can using mixed methods offset the disadvantages that certain methods have by themselves?" "What criteria can a researcher use to select the best mixed methods design for his or her project?" and "What are the points of agreement and controversy regarding design issues in mixed methods research?" This breakthrough Second Edition, containing all new chapters, examines all aspects of mixed methods research across a variety of disciplines.

Key Features: Covers all aspects of inquiry from conceptualizing research to selecting methods, analyzing and interpreting data, and reporting findings. Draws on the work of a mix of internationally recognized researchers as well as new and emerging researchers to provide a diversity of perspectives. Gives specific examples from a wide range of disciplines to help readers understand the issues and controversies in this evolving area. Presents rich material for discussion and new ideas for implementing mixed methods research to provide readers with a cutting-edge resource. Provides pedagogical tools such as learning objectives, discussion questions and exercises, and extensive cross referencing

Using Q Methodology and Q Factor Analysis in Mixed Methods Research

IsadoreNewman and SusanRamlo

Objectives

After reading this chapter, the reader will be able to

  • describe and define Q methodology,
  • describe and define Q factor analysis,
  • identify the historical roots of both Q methodology and Q factor analysis,
  • differentiate between Q methodology and Q factor analysis,
  • give examples of when it would be appropriate to use Q methodology and Q factor analysis,
  • give examples of the types ...
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