NVivo 12 Mac

The #1 native Mac application for qualitative and mixed-methods data analysis.

Built specifically for Mac users, NVivo 12 Mac is the best native Mac application for qualitative and mixed-methods data analysis. If you need to unlock insights from large volumes of research data, discover the new features in NVivo 12 Mac.


Easy to learn and use

Get started on your analysis straight away with improved loading times. Say goodbye to toe-tapping while you wait for your project to load. Thanks to a streamlined layout, classifying your data and working with cases has never been easier.


Share progress in a snap

Automatically create a codebook based on your codes and their descriptions, ensuring coding consistency for you or your team. Then in just a few clicks export your codebook to share, allowing others to easily review your progress and structure.


Code your way

Use new region coding to code your PDF based data. Import scanned newspapers, scripts and other data and then code any part of the PDF, including charts, handwritten notes and tables or convert words in a scanned PDF into codable text. Then query your region and text coding and incorporate it into visualizations.


Ask questions of your data

Use queries to ask complex questions and identify new meaning in your data. Test ideas, explore patterns and see connections between themes, topics, people and places. Look for emerging themes, find words and discover concepts using text search and word frequency queries.


Visualize your research

Visualize your data with the most comprehensive range of visualizations: charts, mind maps, word clouds, explore, comparison diagrams and many more. When you’re ready to share your findings, it’s easy to export your visualizations into reports and presentations.


Enhance your mixed methods analysis

Use crosstabs to analyze themes by one or two attributes – like age or occupation – or by cases for enhanced mixed methods research. Totals are automatically calculated and the results can be saved as a SPSS file (.sav) for further statistical analysis.

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