The Coding Manual for Qualitative Researchers by Johnny Saldana This invaluable manual from world-renowned expert Johnny Saldaña illuminates the process of qualitative coding and provides clear, insightful guidance for qualitative researchers at all levels. Reading this book is like having Ann and Christina at your shoulder as you analyse your data! Software programmes covered in second edition include the latest versions of: ATLAS.ti DEDOOSE HyperRESEARCH MAXQDA NVivo QDA Miner TRANSANA Ann Lewins and Christina Silver are leading experts in the field of CAQDAS and have trained thousands of students and researchers in using software. The new edition is accompanied by an extensive companion website with step-by-step instructions produced by the software developers themselves. In the new edition, the authors present three case studies with different forms of data (text, video and mixed data) and show how each step in the analysis process for each project could be supported by software. This book considers a wide range of tasks and processes in the data management and analysis process, and shows how software can help you at each stage. The book will help you to choose the most appropriate package for your needs and get the most out of the software once you are using it.

Using Software in Qualitative Research by Ann Lewins Christina Silver Using Software in Qualitative Research is an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS). It is usually beneficial to have a limited list of hypothesized codes drawn from theory or the literature, but then refining these codes–and discovering and creating new ones–through the data analysis process. In practice, deductive and inductive coding are commonly used together. This allows for flexibility in the design of your codebook and allowing your data to guide your analysis.Through iterative and repeated analysis of your data, your codes are refined.Instead of pre-defining codes ahead of time, you look for patterns in your data and assign codes accordingly and draw theoretical insights from them.Inductive coding involves defining codes as they emerge from your analysis.Having a pre-defined list of codes makes the coding process lest daunting, as you are not starting from scratch.Deductive coding helps establish a point of departure from which your study will begin.You pre-define a set of codes based on your theoretical framework and hypotheses, existing scholarly literature, or your domain knowledge of a field.Deductive coding involves defining codes prior to data analysis based on your research question(s).There are two primary approaches to qualitative coding: deductive coding and inductive coding.

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