How to Correctly Set up your Literature Review in NVivo

This video demonstrates how to correctly set up your literature for review, screening, or synthesis in NVivo and addresses some common mistakes made during this process. It also mentions several related videos on this channel and provides links below:
Related Videos Mentioned in this Video:
Understanding Cases and Classifications
https://qdatraining.com/how-to-set-up...
Applying reflexive thematic analysis (RTA) in NVivo
https://qdatraining.com/thematic-anal...
Import Literature from Referencing Software to NVivo for Windows or MAC
https://qdatraining.com/import-litera...
Importing a classification sheet into NVivo
https://qdatraining.com/import-classi...
Visualizing your Data with NVivo
https://qdatraining.com/visualize-you...

In this YouTube video, the focus is on setting up a literature review using NVivo, a data analysis tool. The video assumes a basic understanding of literature reviews and doesn't delve into the details of conducting one. It emphasizes the importance of correctly setting up the database to optimize data for queries, visualizations, and coding. The tutorial uses NVivo version 14 and a sample environmental study. It covers importing literature, making cases and classifications, and automating coding processes. The video also highlights the advantages of using NVivo over traditional referencing software for literature review and data analysis.

Highlights
📚 Setting up a literature review in NVivo is crucial for optimizing data analysis.
🔄 Importing literature can be done directly from PDFs or referencing software like Citavi.
🧩 Creating cases and classifications is essential for using advanced NVivo features.
📊 NVivo offers powerful tools for visualizations and coding in literature reviews.
🤖 Automating coding processes can save time and improve accuracy.
🚀 NVivo provides a robust database for comparing primary and literature data.
💡 The video emphasizes the benefits of using NVivo over traditional referencing software for comprehensive data analysis.