btaor.blogg.se - Nvivo qualitative data analysis

This feature saves you time by allowing you to quickly collect data on your favorite device and import it with a few clicks to immediately begin your analysis. The NVivo-Office integration allows you to add tags to note key points or themes in each document, along with a description, to organize and prepare your files for easy searching within NVivo. Use Word or Excel to collect data, easily send it to NVivo with a few clicks, and then immediately begin your analysis. The color of the highlighted text is the same as the color of the coding tape to make it easier to read when viewing the coding tapes.

Easily track coding: just click on a coding band to see what you have coded.

Better readability with flexible coding bands: display coding bands horizontally so they are easier to read.

The most efficient coding: when working with text documents, you can easily see all your codes and easily drag text into them in one view.

You told us that coding is one of the most powerful features of NVivo you have been heard.

Software’s vocabulary is similar to what is used in actual research.

Explore your data with high-quality graphics and mapping tools that are easy to export and use in presentations.

Create your thinking space by pulling out the workspace to enlarge the screen you’re working on.

The ribbon makes it quick and easy to find the functions you need.

The navigation panel groups essential functions under ” import “, ” analyze ” and ” explore ” to guide you through your research process.

The most intuitive experience in quantitative data analysisĭiscover the even more intuitive NVivo software:

Get to work as soon as the presentation is over and follow the tips that help you easily ” import “, ” organize ” and ” explore ” your data. When you open NVivo, a quick tour will quickly familiarize you with the software. Exchange data easily with applications such as Microsoft Excel, Word, IBM SPSS Statistics, Survey Monkey, EndNote and Evernote.Relate your discoveries to the original data.Explore in depth, add your opinions and insights to the analysis.Discover subtle connections not possible with manual processing.Spend more time analyzing data and making discoveries.Organize and classify your data quickly.