Books like The coding manual for qualitative researchers by Johnny Saldana

"In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed"--

An introduction to qualitative research methods for researchers in various disciplines.

An in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 32 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes.

A comprehensive guide to qualitative research and evaluation, offering updated frameworks, practical strategies, and diverse theoretical perspectives for scholars and practitioners.

An introductory guide to qualitative research, drawing on decade‑long workshops to walk students through selecting methods, collecting data, and turning findings into a polished project, with clear explanations of core concepts.