If you are moving from NVivo 9 to NVivo 11 (and are not familiar with NVivo 10), this topic will help you to understand key changes that were made to the software in the NVivo 10 release.
For information about features introduced in NVivo 11, refer to What's new in NVivo 11.
In this topic
- Performance improvements—NVivo runs faster and handles more data
- Get your media professionally transcribed with TranscribeMe
- Capture web pages or social media data from Facebook, YouTube and Twitter
- Bring content from SurveyMonkey, OneNote and Evernote into NVivo
- Check spelling in your documents, transcripts and memos
- More audio and video file formats can be imported
- Auto code based on existing coding patterns
- New coding summary reports
We have optimized the way NVivo stores and accesses data, so that it runs faster. We have also enhanced NVivo's operations to maintain good performance as your project size increases and you are working with more (or larger) sources and nodes.
These changes improve performance in many ways—for example, you may notice that NVivo is faster when you:
Open, save and close projects
Create and open nodes
Code and uncode your source materials
Delete project items
Use automatic coding features (for example, the Auto Code Dataset Wizard)
Node Detail view now displays large nodes in sections (or blocks) of 100 references, so that nodes open quickly regardless of size. When you are working with large nodes, you can use navigation controls at the bottom of the Detail View to move between the sections.
The maximum size for standalone projects has been increased to 10 GB (previously 4 GB), so you can bring more data into your project.
These changes are designed to make NVivo easier to work with and improve your productivity.
To save time, you can have your media files professionally transcribed using TranscribeMe (an integrated transcription service). This service provides:
Fast turnaround times
Security and confidentiality
Competitive transcription rates
High quality, accurate transcripts in an ‘NVivo-ready’ format
Automatic and seamless download of transcripts into your NVivo project
From within NVivo, you can find out how much it will cost to have selected media sources professionally transcribed. When you submit an order, the media files are securely uploaded to TranscribeMe. Then, when they are ready, transcripts are automatically downloaded into your project and synchronized with your media sources.
Refer to Purchase audio or video transcripts for more information.
Use NCapture (a web browser extension) to import information from the internet into NVivo.
Capture blogs, news articles and other web pages relevant to your project, and then import them into NVivo as PDF sources or dataset. You can then code, annotate and link the content, just like you would with any other source in NVivo.
For information on using (or installing) NCapture, refer to the NCapture Help.
Import survey responses directly from SurveyMonkey—the imported responses become a dataset source that you can sort, filter or code. Refer to Import from SurveyMonkey for more information.
Bringing your Evernote materials into NVivo is easy—you can either connect to your Evernote account or export your notes to an Evernote export file and then import them into NVivo. Refer to Import from Evernote for more information.
The NVivo Add-in for OneNote allows you to export your OneNote content for import into NVivo. OneNote pages are generally imported as document sources—any attached files in supported formats are imported as separate sources. Refer to Import from OneNote using the NVivo Add-In for OneNote or more information.
Do you transcribe in NVivo, write memos, create documents or summarize your source materials in a framework matrix? You can use the new spell-check feature to identify and correct spelling mistakes in editable source content and annotations.
NVivo comes with built-in dictionaries for English (UK), English (US), French, German, Portuguese and Spanish.
If your source materials use specialized terms or abbreviations that are not in the built-in dictionary, you can add these words to the custom dictionary (each language has its own custom dictionary). If you already have a custom dictionary that you use with another software application—for example, a custom dictionary of medical terminology—you can use this same dictionary to spell check in NVivo.
You can also spell check in a wide range of languages—if NVivo does not provide a built-in dictionary for the language, you can provide your own custom dictionary.
Refer to Check spelling for more information.
NVivo 10 supports a wider range of audio and video file formats.
In addition to the audio and video formats previously supported, you can now import media files in the formats listed below.
Audio files in MPEG-4 format (m4a)
Video files in 3G Mobile Phone format (3gp)
Video files in AVCHD High Definition Video formats (mts, m2ts)
See About sources (What kinds of files can I import?) for the complete list of supported audio and video file formats.
Pattern-based auto coding is an experimental feature that you can test and try out.
This feature uses machine learning algorithms to perform 'broad-brush' coding of text passages that contain similar words to previously coded content. It is designed to speed up the coding process for large volumes of textual content.
This feature will be further developed in future releases of the software. It may work better for some projects than others. For more information, refer to Automatic coding using existing coding patterns.
NVivo 10 comes with new coding summary reports:
Coding Summary by Node
Coding Summary by Source
These new reports include the coded text content and other information about your coding references.