This practical text integrates theoretical perspectives with guidelines for designing and implementing community-based qualitative research projects. Coverage of participatory research designs and approaches is complemented by chapters on specific aspects of this research process, such as developing relationships and sharing findings to strengthen programs. Included are useful handouts and templates for applying to the reader’s own projects, and end-of-chapter questions for self-reflection and class discussion. Readers will find the book’s engaging case studies, interdisciplinary real-life examples, and insights from project participants as a helpful foundation for future work in the field.

Analysis of Data in Community-Based Qualitative Research

Introduction

This chapter examines methods and approaches for analyzing data in CBQR studies, including how to identify themes and patterns from various forms of data to elaborate findings and develop assertions. This chapter also discusses how to analyze data collaboratively as part of a student research group or in conjunction with community partners.

Learning Goals

After reading this chapter, students will be able to:

  • Describe and use various strategies for initial analysis and coding of qualitative data within community-based qualitative research (CBQR) studies.
  • Differentiate between inductive and deductive processes for analyzing qualitative data.
  • Identify approaches for constructing findings within CBQR.
  • Discuss how to conduct analysis of data collaboratively, and describe ways to incorporate community perspectives into data analysis.

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