Navigate to your applications folder and double click NVivo.Open the folder and double-click NVivo.dmg. A new folder called NVivo-MAC will be created.Once the download is complete, open NVivo-MAC.zip.
Check between the System Requirements above and the overview on your Mac to be sure it will run NVivo. This will bring you to the overview tab for the machine. To make sure that your Mac meets the system requirements, click on the Apple symbol in the top left corner of the desktop. There is only one version of NVivo for Mac OS. When prompted for the license key, open the file called license.txt in the NVivo folder, and enter that as the key.Open the folder and double-click NVivo.exe to begin the installation. A new folder called NVivo-32bit or NVivo-64bit will be created after it is unzipped.Once the download is complete, open file NVivo-32bit.zip.Click on one of the download links below, select Save.You will be prompted for your username and network password when downloading the software. To determine your system type, right-click on Computer,then choose Properties.Look for system type and you will see 32-bit or 64-bit operating system. There is a 64-bit version available for NVivo. Two versions of NVivo are currently available to current IUP students and faculty members by following the download instructions listed below. Important! Enter your username as iupmsd\username (note the direction of the slash).The password will be your network password. System requirements for NVivo on Mac OS and Windows It removes many of the manual tasks associated with analysis, like classifying, sorting, and arranging information, so you have more time to explore trends, test theories, and arrive at answers to questions. If you need to handle rich information, where in-depth analysis on both small and large volumes of data are required, NVivo is your solution. NVivo is a qualitative data analysis software package designed for researchers working with very rich text-based and/or multimedia information, where deep levels of analysis on small or large volumes of data are required.
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