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Headers, footers, and page numbers in Word docs are hidden when viewing the file in NVivo If your Word source document has headers, footers, and page numbers, they will be hidden when the document is imported into NVivo. If you have a choice between the two formats and your analysis only requires the text, choose plain text. Automated word detection (such as word frequency and text search queries) also work better on plain text and Word documents than they do on PDFs.

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Choosing between Word or PDF formats? Word and plain text files are easier to code in NVivo than PDFs In general, it is easier to code plain text and Word documents in NVivo than it is to code PDFs. This is particularly useful if you have dual monitors: you can open a data source on one monitor, and have the node view on the other. This will open the item in its own viewer window. NVivo Tips Tiny screen? Undock open source and node panes for ease of reading In NVivo for Windows, you can "undock" the views of open sources, nodes, queries, or other project items by right-clicking on the item's tab and selecting Undock. To download the installer for NVivo, you must create a myNVivo account on the QSR International website.

Have an existing NVivo 12 project file that cannot be converted to NVivo R1Īt this time, QSR International offers free 14 day trials of NVivo, which you can download at the QSR International website.

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Collaborating with colleagues who are using NVivo 12 and cannot upgrade to NVivo R1.Collaborating with colleagues who are already using NVivo R1.If you are not sure which version you should use, our general recommendations are: What version of NVivo does Kent State currently use?Īs of Fall 2021, Kent State has Windows and Mac licenses for NVivo R1 (the latest version) and NVivo 12.

#HYPERRESEARCH STUDENT PRICE FOR MAC#

*.nvpx - An NVivo for Mac project file.

*.nvp - An NVivo for Windows project file.

What file types are associated with NVivo?

Perform simple text analysis queries (such as text search or word frequencies) for text data in English, French, German, Spanish, Portuguese, Japanese, and Simplified Chinese.

Import citations from EndNote, Mendeley, Zotero, or other bibliographic management software - great for literature reviews.

Import notes and captures from Evernote - great for field research.

Ability to capture social media data from Facebook and Twitter using the NCapture browser plug-in.

Playback ability for audio and video files, so that interviews can be transcribed in NVivo.

Analyze and organize unstructured text, audio, video, or image data.

As of July 2014, it is available for both Windows and Macintosh operating systems. Specifically, it is used for the analysis of unstructured text, audio, video, and image data, including (but not limited to) interviews, focus groups, surveys, social media, and journal articles. NVivo is a software program used for qualitative and mixed-methods research.