Transparency is once again a central issue of debate across types of qualitative research. To that end, the living codebook moves beyond discussions around intercoder reliability to how analytic codes are created, refined, and debated. It allows researchers to interrogate taken-for-granted assumptions about what data are focused on, why, and how to analyze it. It has four parts: (1) a processual database that keeps track of initial codes and a final database for completed codes, (2) a “definitions and key terms” list for conversations about codes, (3) memo-writing, and (4) a difference list explaining the rationale behind unmatched codes. In this article, we argue that scholars should create a living codebook, which is a set of tools that documents the data analysis process. Although there are a few exceptions, less focus is on transparency regarding decision-making processes in the course of research. Work on how to conduct qualitative data analysis, on the other hand, walks us through the step-by-step process on how to code and understand the data we’ve collected. The approach and discussions presented here will be useful to qualitative researchers looking for a systematic method for the development of a codebook, but also for researchers working independently on the analysis of qualitative data.All subjects Allied Health Cardiology & Cardiovascular Medicine Dentistry Emergency Medicine & Critical Care Endocrinology & Metabolism Environmental Science General Medicine Geriatrics Infectious Diseases Medico-legal Neurology Nursing Nutrition Obstetrics & Gynecology Oncology Orthopaedics & Sports Medicine Otolaryngology Palliative Medicine & Chronic Care Pediatrics Pharmacology & Toxicology Psychiatry & Psychology Public Health Pulmonary & Respiratory Medicine Radiology Research Methods & Evaluation Rheumatology Surgery Tropical Medicine Veterinary Medicine Cell Biology Clinical Biochemistry Environmental Science Life Sciences Neuroscience Pharmacology & Toxicology Biomedical Engineering Engineering & Computing Environmental Engineering Materials Science Anthropology & Archaeology Communication & Media Studies Criminology & Criminal Justice Cultural Studies Economics & Development Education Environmental Studies Ethnic Studies Family Studies Gender Studies Geography Gerontology & Aging Group Studies History Information Science Interpersonal Violence Language & Linguistics Law Management & Organization Studies Marketing & Hospitality Music Peace Studies & Conflict Resolution Philosophy Politics & International Relations Psychoanalysis Psychology & Counseling Public Administration Regional Studies Religion Research Methods & Evaluation Science & Society Studies Social Work & Social Policy Sociology Special Education Urban Studies & Planning BROWSE JOURNALS ![]() Starting from a set of transcripts from interviews with undergraduate students completing a one-year work-placement, it describes how developing and using a codebook was instrumental in improving the rigour of data analysis, and in supporting data theorisation and reflection on a research project exploring transfer of learning between university and the workplace. With the aim of adding to current literature and practices on the use of codebooks, this article describes, following a personal narrative style, the process and explores the benefits and challenges of developing a codebook for the analysis of qualitative data by an individual researcher. However, due to the focus on team-based research projects, the possibilities for the use of codebooks by individual researchers are rarely discussed. The use of codebooks to categorise qualitative data and to increase consistency in coding between multiple researchers is a well-established strategy in qualitative research.
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