Developing a Qualitative Codebook
Description
After collecting and transcribing your qualitative data, the next step is to organize it. The most common way to organize and index qualitative data is by coding it. The first step in coding is to develop a codebook. In this module, you will learn the purpose of coding, the elements and format of a typical codebook, the importance of transcript review and open coding, and the pros and cons of different coding styles.
By the end of this module, you will be able to:
Marie Norman, PhD
Professor of Medicine and Clinical and Translational Science,
Director, Innovative Design for Education and Assessment (IDEA) Lab
Co-Director, Team Science Core
University of Pittsburgh
Dr. Norman holds a PhD in cultural anthropology with a focus on medical anthropology. She has used qualitative approaches to study a range of topics in health and education, including the working dynamics of research teams, the uses of human-centered design for research, and the evaluation of education and training programs. She teaches qualitative research methods to ICRE students and trainees and mentors graduate, post-doctoral, and early career investigators. Dr. Norman loves the capacity of qualitative research to open windows into other lives and worldviews.
Megan Hamm, PhD
Assistant Professor of Medicine
Director of Qualitative Services, Center for Biostatistics and Qualitative Methodology (CBQM)
Associate Director for Qualitative Analysis (CBQM)
University of Pittsburgh
Dr. Hamm specializes in the collection and analysis of interview, focus group, and observational data, and is widely consulted as a qualitative methodologist with extensive experience in health research. As Director of the Center for Biostatistics and Qualitative Methodology’s Qualitative Core, she has participated in more than 40 research projects about an array of different topics that frequently fall under one of the following general topics: evaluation of medical educational programming, the formative evaluation of behavioral and programmatic interventions, provider communication, the adoption of new health technologies, sexuality and reproductive health, pain management, substance use in pregnancy, and engagement.
Flor de Abril Cameron, PhD
Assistant Professor of Medicine
University of Pittsburgh
Dr. Cameron is faculty at the Center for Biostatistics and Qualitative Methodology at the University of Pittsburgh. She specializes in the collection and analysis of diverse data forms, including interviews, focus groups, observational records, documentation, and written materials. Dr. Cameron has brought her deep qualitative research expertise to a wide range of research projects including medical education curriculum evaluation, reproductive health, intervention design and implementation, and patient and provider experiences. Dr. Cameron’s interests revolve around issues of health disparities as they relate to women’s health and ethnic minorities, including language equity and improvement of health programs through program monitoring and evaluation.
Learn how to recruit for qualitative studies, write an interview guide, conduct an interview, develop a codebook, and code qualitative data.
Modules in this Stack are case-based, interactive, and entirely self-paced, combining convenience and flexibility with deep, engaged learning. Take them all to earn a competency-based certificate.
Other modules in this Stack:
- Writing a Qualitative Interview Guide
- Coding Qualitative Data
- Conducting a Qualitative Interview
- Recruiting for Qualitative Studies
