Qualitative Data Analysis with NVivo 4th Edition By Jenine Beekhuyzen, Pat Bazeley
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- Pages
- 385
- File size
- 2.36 MB
- Format
- Digital PDF
- Course
- DATA ANALYSIS
- Category
- eBook[PDF]
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About this ebook
The fourth edition of Qualitative Data Analysis with NVivo, co-authored by Jenine Beekhuyzen and Pat Bazeley, provides a comprehensive blend of software instruction and qualitative research methodology. Updated specifically to support NVivo 14 across both Mac and Windows platforms, the book covers a broad spectrum of technical skills and data management strategies. [1, 2, 3, 4]
📂 Getting Started & Project Management
- Where to begin?: Laying out a theoretical and methodological foundation for combining qualitative analysis with technological tools.
- Navigating NVivo: Mastering the interface workspace, setup configurations, and software navigation on both Mac and PC systems.
- Teamwork: Managing multi-user projects, collaboration protocols, merging projects, and tracking team-coding reliability. [1, 2, 3]
📥 Handling & Importing Diverse Data Sources
- Literature and interview text-files: Importing, organizing, and preparing primary documents, transcription text, and secondary literature sources for systematic review. [1, 2]
- Working with pictures, audio, and video: Managing multi-media files, directly coding multimedia elements, and dealing with non-textual data. [1]
- Working with demographics, surveys, and social media files: Structuring dataset files, handling closed-ended survey responses alongside open responses, and capturing web or social platforms. [1, 2]
🏷️ Coding Foundations & Classifications
- Coding foundations: Introduction to basic coding techniques, creating codes, and structural organization of nodes.
- Cases, classifications, and comparisons: Assigning attributes (like demographics or source profiles) to units of analysis to prepare for deep demographic grouping and comparison.
- Coding beyond basics: Progressing to complex conceptual coding, iterative theme development, and structural refinement. [1, 2, 3]
🔍 Analytical Queries & Visualizations
- Querying data: Utilizing advanced search tools, word frequency clouds, text search, and matrix coding queries to uncover patterns.
- Visualisations and reporting on patterns in your data: An entirely new chapter in the 4th edition focused on building charts, models, and network maps to report analytical patterns. [1, 2, 3, 4]
🧠 Advanced Analysis, Synthesis, & Theory (Part III)
- Exploring, seeing, and investigating connections in data: Identifying cross-cutting themes, testing relational hypotheses, and exploring link attributes.
- Elaborating concepts, developing theory: Transitioning descriptive data into conceptual frameworks or grounded theory abstractions.
- Realising coherent understanding: Synthesizing disparate findings into a unified narrative or thematic architecture.
- Defending and extending: Resolving issues of qualitative quality, significance, transparency, validation, and preparing findings for pub
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