See What NVivo Can Do

The type of material you include in your project depends on your research questions and methodology—NVivo lets you import a wide range of materials, including interview transcripts, journal articles, audio/video recordings, and social media content.

With Citavi-NVivo integration you can combine Citavi’s organizational tools to manage references, keep track of key quotations as well as your ideas with the power of NVivo to explore patterns, visualize your literature and deepen your analysis.

Coding brings together in one place all the references to specific themes, emotions, relationships or people, from your data.

Coding, or gathering material by topic or category, is a fundamental task for qualitative projects. It tends to be an iterative rather than a one-stage process, with the meaning and structure of your codes evolving over time.

You could start with ‘broad-brush’ coding to organize your material into broad topic areas (you can use Text Search queries to help with this)—then explore the code for each topic and do more detailed coding.

Automated coding lets you work through large sets of data more efficiently — helping you get quick results to see what is happening in your content. NVivo’s autocoding with AI lets you focus less on the time-consuming coding process and more on the analysis of the results.

The process involves selecting a set of files and using the autocoding feature to produce results. In a few simple steps, the autocode feature makes it easy for you to gain an understanding of your data.

Learn how to use the power of NVivo’s machine learning auto coding options: adaptive or pattern-based coding, thematic coding, and sentiment analysis.

Essential to any research project is note keeping—for observations, ideas, reminders to yourself (and others), and keeping a journal so you have a record of how the project, and your thoughts, have developed. NVivo offers a range of ways to keep notes. Foremost amongst them are memos.

One of NVivo’s most powerful features is its ability to represent the people, institutions and places involved in your inquiry. In NVivo, these are called ‘cases’.

Cases are like containers that hold all the information related to a person, place or other unit of analysis. You can open a case to see all the information that has been coded there in the case.

When you begin a project, it is a good idea to decide on your units of analysis and plan for the cases you will need to represent them.

Case classifications allow you to record demographic or other data for the cases you create—e.g. age, occupation or population—you set yourself up to be able to make a whole range of analyses. Is there a difference between how younger and older people feel about an issue? Is education a factor? Are there relationships between population size and the factors you’re investigating?

Queries and visualizations support the iterative nature of qualitative research and can help you to investigate hunches as you progress through a project and validate your findings.

Queries help you to explore your data and investigate hunches as you progress through your project. You can:

Word frequency query

A good, quick way to see what's on the minds of your research subjects is to run a word frequency query over what they say—which terms come up the most?

Visualizations support the iterative nature of qualitative research and can help you at each stage of the research process.

By enhancing the team experience with NVivo Collaboration Cloud, multiple users can connect to the same project to update, code, and analyze research in real-time.

Syncing projects across Mac and Windows does more than eliminate the file conversion process — with NVivo 14 and NVivo Collaboration Cloud, users can open projects across both Mac and Windows with ease.