Focusing on applied conversation analysis (CA), this timely book offers practical insights and guidelines for CA scholars studying social interactions in institutional settings. Written in an accessible style and packed with case studies, examples, activities, and practical tips, the book takes readers through the entire process of planning and carrying out an applied CA research study. By highlighting challenges, debates, and important questions, each chapter provides the theoretical foundation necessary for making informed decisions at every stage of a research project. The book is divided into three sections (context and planning, doing a project using conversation analysis, and disseminating your research) to mirror the research process.

Planning and Preparing for Data Collection in Applied Conversation Analysis Research

Chapter Focus

In this chapter, you will learn how to:

  • Recognize what constitutes data for applied conversation analysis research.
  • Differentiate naturally occurring data from researcher-generated data.
  • Critically assess the advantages and disadvantages of using naturally occurring data in an applied conversation analysis research study.
  • Recognize the diversity of data sources that might be collected in an applied conversation analysis study.
  • Evaluate the strategies for building an appropriate data set.
  • Differentiate primary analysis from secondary analysis.
  • Evaluate the usefulness of doing secondary analysis in applied conversation analysis.

As you begin planning your applied conversation analysis (CA) research study, a central consideration is the kind of data you will collect and the process of collecting it. As the choice of institutional setting and the ...

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