NVivo 12 Windows Release Notes

Screen readers (including Microsoft Narrator and JAWS) can now be used to read PDF content. See Accessibility

Improvements to REFI-QDA Standard project exchange, including data files and memos in sets now imported. See REFI-QDA Standard for project exchange.

Users who rely on screen readers (including Microsoft Narrator and JAWS) can now navigate NVivo.

Screen readers can detect the different parts of the workspace including the List View, ribbon, context menus and the File menu (Backstage view) in NVivo.

You can now insert the current date and time in the Description field for project item properties - use the keyboard shortcut (Ctrl+Shift+T).

This automated transcription service allows you to transcribe audio and video files from NVivo. You create a myNVivo account, purchase credits, and upload your selected media files for transcription. Once they're transcribed, you can edit them and import them into your NVivo project.

NVivo Transcription will transcribe your files in approximately half the duration of the media file. Once transcribed, the transcripts will appear synchronized with your audio and video files, with time stamps. NVivo Transcription

The Matrix Coding query has been simplified to make it easier to use.

You can set up the query in Detail View and display the results directly below. Then, easily adjust the criteria and rerun the query as you dig deeper into your data.

For example, run a Matrix Coding query to explore the positive and negative responses for a range of themes. Add a new theme or change the scope of the query and run it again.

The Codebook Exchange Format (.qdc) is a new standard for sharing codebooks between Qualitative Data Analysis (QDA) tools.

You can import a codebook into NVivo as long as it is the .qdc format.

Once the codes are in NVivo, you can apply them to your own research materials.

Similarly, you can export your codebook from NVivo and import it into other QDA tools that support the new format.

This makes it easier to share your work with colleagues who don't use NVivo. Export nodes

• Node references
• Datasets
• Project items in the Select Project Items dialog box
• NCapture import
• Hierarchy charts

(NVivo 12 Plus only)

Pattern based auto coding is a way of automatically coding content based on previous coding activity. To improve accuracy, auto coding now takes the following into account when making comparisons:

• Uncoded content
• Word pairs such as water quality or environmental change

Automatic coding using existing coding patterns

What would make your NVivo life easier? Is there a way to enrich your analysis? Click the feedback icon at the top right of Detail View to post your suggestion on Canny (a feedback collection website).

Choose a simple sign-up option (like Facebook, Twitter or email) and search to see if someone else has already posed a similar suggestion. Vote for their idea or create your own—and keep track of progress via email.

The development team uses your valuable feedback to inform future improvements, so don't be shy about sharing.

NVivo speaks your language!

Along with English, the interface (ribbon, menus and dialogs) is now available in

• Chinese (Simplified Chinese)
• French
• German
• Japanese
• Portuguese
• Spanish

You can set this language when you install NVivo or at anytime via the Application Options.

If you select a user interface language other than English, you should ensure that the language is installed on your computer—refer to Microsoft Windows online help for more information.

For example, with just a few clicks you could check:

• How often interview respondents refer to a particular topic or issue

• How many interview respondents (with particular attributes) refer to a topic or theme

You can double-click the cells in the Crosstab to read the underlying qualitative responses.

You can also export the numerical data for further statistical analysis in specialized tools like SPSS.

While you can get similar results using a Matrix coding query, the Crosstab query

• Is easier to setup and faster to run, even with large amounts of data
• Lets you make comparisons using two attributes
• Provides frequency totals for columns and rows

Crosstab query

For example, you could export a classification sheet or the results of a Crosstab query to an SPSS data file.

There is no need to edit the file before importing it into SPSS. You can open the file in SPSS and begin your statistical analysis right away.

Export query results

You will notice the following changes in Navigation View:

• Data is the new term to describe the source materials that you work with in NVivo.
• Files is the new term for the documents, PDFs, datasets, pictures, videos or audios that you import into NVivo.
• File Classifications describe your files, including bibliographical data for articles and books.
• Codes is an umbrella term for different types of nodes.

To keep your most frequently used items within easy reach, you can now pin them to Quick Access at the top of Navigation View:

Cases, classifications and attributes are more accessible and easier to work with:

Memos, Framework Matrices, Annotations and See Also links are centralized under Notes:

Queries, sets and search folders are organized under Search

Commands on the main tabs have been reorganized and many ribbon tabs are hidden until you need to work with them.

For example, the Document ribbon tab is displayed only when you are working in a document:

It includes options for coding, annotating, visualizing or querying the document you are working with. Everything you need is in one place.

This reduction in clutter makes it easier to find the tools you need, when you need them.

If you are familiar with NVivo 11 menus, you can download and use the NVivo 12 ribbon mapping spreadsheet to locate a menu command on the ribbon.

You can enter the name of each speaker in a transcript and NVivo:

• Searches for the name at the start of each line
• Creates a case for each speaker
• Automatically codes the response at the case

This is especially useful when you are working with focus groups and want to create a case for each participant.

Automatic coding in documents