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You can drop by during walk-in hours, schedule a consultation, or join a workshop. Using NVivo for Windows on a Mac If your users need features that are not currently available in NVivo 12 Mac, you could consider installing the Windows version of NVivo on a Mac using one of the following software products.
DOWNLOAD NVIVO FOR MAC LICENSE KEY
Click the button below to download this key: Download License Key (Faculty/Staff. In order to successfully install NVivo, you will need the USC license key. Stanford's Social Science Data and Software (SSDS) provides support for using NVivo. Download for Faculty/Staff Download for Students. Install NVivo Mac NVivo 12 Mac is available as a download from To install NVivo Mac: Locate and double-click the NVivo dmg file that you downloaded.
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Stanford University faculty, staff and students on campus.
DOWNLOAD NVIVO FOR MAC FOR MAC OS X
Brief Overview of QSR NVIVO for Mac OS X QSR NVIVO for Mac is an application which can be used for qualitative data analysis. Windows and Mac for single machine only: Versions 12, Pro Enterprise (Latest Release) It is full Latest Version setup of QSR NVIVO 11.4.0 Premium Pro DMG for Apple Macbook OS X. If the use of Nvivo’s add on services involves high risk data, including PHI, please reach out to the University Privacy Office prior to purchasing any add on services at. Select Windows or Mac Click Add to Cart Click Check Out Click Download. The portal indicates which services are-and are not-covered by Stanford Libraries. NVivo is a qualitative and mixed-methods data analysis software that helps. However, some new add-on services, including audio transcription and cloud collaboration, are not paid by Stanford Libraries. If you wish to use these add-on services, you must pay for them. Various portal features (e.g., technical support, training guides) are included in our campus subscription. Please note: NVivo is still a desktop application, but it has a new portal, MyNVivo. An all-purpose qualitative data analysis system, which is designed to aid researchers in handling non-numerical, unstructured data by supporting processes of indexing, searching and theorizing.