Índice

Bibliografía: p. 299-304

This straightforward, jargon-free book provides an invaluable introduction to planning and conducting qualitative data analysis with NVivo. Written by leading authorities, with over 40 years combined experience in computer-assisted analysis of qualitative and mixed-mode data, the new edition of this best selling textbook is an ideal mix of practical instruction, methodology and real world examples.Practical, clear and focused the book effectively shows how NVivo software can accommodate and assist analysis across a wide range of research questions, data types, perspectives and methodologies. It sets out:- The power and flexibility of the NVivo software- How best to use NVivo at each stage in your research project- Examples from the authors' own research and the sample data that accompanies the software, supplemented with vignettes drawn from across the social sciences - Annotated screen shots- A website with links to data, sample projects, supplementary/updated instructions, and SAGE journal contentThis second edition contains new chapters on handling a literature review, visualizing data, working in mixed methods and social media datasets, and approaching NVivo as a team. An insightful step-by-step guide to the messy reality of doing computer-assisted analysis, this successful book is essential reading for anyone considering using NVivo software.INDICE: Perspectives: Qualitative Computing and NVivo Qualitative Research Purposes and NVivo The Evolution of Qualitative Data Analysis Software Issues Raised by Using Software for Qualitative Data Analysis Exploring an NVivo Overview: What's in an NVivo Project?Starting Out, With a View Ahead Exploring the Research Terrain Explore the Terrain With Software looking Ahead: Connecting a Web of Data Looking Ahead: Keeping Track of Emerging Ideas Memos, Annotations or Links: Which Should it Be? Saving and backing Up Your ProjectDesigning An NVivo Database Qualitative Data for Your Project Thinking Cases Preparing Data Sources Storing Qualitative Data in NVivo Managing Data Sources in NVivo Questions to Help You Work Through These Early PhasesCoding Basics Goals for Early Work With Data Building Knowledge of the Data Through Coding Storing Codes in Nodes Identifying and Naming Codes Further Coding in NVivo Practical Issues in Coding Moving OnGoing On With Coding Creating a Structured Coding System Organizing and Coding With Nodes in Trees in NVivo Automating Routine Coding Automating Coding With Word Frequency and Text Search Queries Closeness and Distance with Coded Data Moving OnCases, Classifications, and Comparisons Understanding Case Types and Case Nodes Making Case Nodes Understanding Attributes, Values and Classifications Creating Classifications, Attributes, and Values Using Attributes for Comparison Using Sets to Manage Data OverviewWorking With Multimedia Sources The Promises and Perils of Non-Text Data Using I