NVivo
NVivo is qualitative data analysis software used by researchers to organize, analyze and find insights in non-numerical or unstructured data like interviews, open-ended survey responses, articles, social media and web content. It allows you to import, classify, code and visualize
NVivo: Qualitative Data Analysis Software
Qualitative data analysis software for organizing, analyzing, and finding insights in non-numerical or unstructured data like interviews, open-ended survey responses, articles, social media, and web content.
What is NVivo?
NVivo is a qualitative data analysis software platform designed for researchers working with rich text-based and multimedia information, where deep levels of analysis on small or large volumes of data are required. NVivo is used across a wide range of fields from academia, to government and commercial organizations.
Some of the key features of NVivo include:
- Importing and analyzing interviews, articles, social media, web content and more
- Coding text, audio, video and images and analyzing the frequencies of codes
- Visualizing data through charts, graphs, word clouds and maps
- Powerful querying to find patterns and connections in your data
- Keeping all data and analysis in one file for easy access and sharing
- Compatible with Mac, Windows and the web for accessibility
NVivo helps you organize disparate qualitative data sources, code and classify data based on themes, interpret and visualize the data to draw out insights, and report on the findings. It enhances the rigour and transparency of qualitative analysis, while making analysis of non-numerical data as efficient as possible. It's used by academics, governments and organizations globally to turn rich qualitative data into impactful analysis.
NVivo Features
Features
- Import and analyze text, audio, video, emails, images, spreadsheets
- Code and find themes in qualitative data
- Annotate and highlight important passages
- Visualize data through charts, maps and models
- Collaborate with team members
- Integrates with statistical analysis tools like R and Python
Pricing
- Subscription-Based
Pros
Powerful tools for qualitative analysis
Flexible importing and visualization
Collaboration features
Integrates with other analysis tools
Cons
Steep learning curve
Can be slow with large datasets
Expensive subscription model
Reviews & Ratings
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