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NVivo
Wat is NVivo?
NVivo is de krachtigste en meest intuïtieve onderzoekssoftware voor het organiseren, opslaan, analyseren en verkrijgen van inzichten uit diverse gegevens.
Met NVivo kun je vrijwel elke gegevensbron allemaal op één plek importeren, analyseren en verkennen, van kwantificeerbare demografische informatie tot kwalitatieve open vragen en interviews.
Verbeter de kracht van NVivo door cloudgebaseerde modules toe te voegen voor NVivo Collaboration Cloud en NVivo Transcription wanneer je ze nodig hebt.
Wie gebruikt NVivo?
NVivo ondersteunt academische, professionele en studentonderzoekers in het onderwijs, de gezondheidszorg, de overheids-, non-profit- en commerciële sector om diepere inzichten te verkrijgen uit kwalitatieve en gemengde methodegegevens.
Twijfels over NVivo?
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NVivo
Reviews over NVivo

NVivo for Qualitative Data Analysis
Pluspunten:
Light weight. Value for money. The learning curve is shallow.
Minpunten:
Might be limited in Visualization. You might need to clean the text files inputted to provide better analysis quality, which consume time.

Discovering the Best of NVivo
Opmerkingen: Overall, my experience with NVivo has been positive. I find the software to be a powerful tool for organizing and analyzing qualitative data, with advanced coding and text analysis features that make it easy to identify patterns and themes within my data. Despite these cons, the benefits outweigh the drawbacks making it a valuable tool for any researcher or data analyst.
Pluspunten:
I really like using NVivo because it makes it easy to organize and analyze qualitative data. With its advanced coding and text analysis features, I am able to quickly identify patterns and themes within my data. The software is also intuitive and user-friendly, making it easy for me to navigate and find the information I need. Additionally, the ability to collaborate with team members on projects is a huge plus. Overall, NVivo is a powerful tool that has greatly improved my research and data analysis process.
Minpunten:
One thing that I dislike about NVivo is that it can be quite expensive, especially for small research projects or individual use. Additionally, the software can be quite resource-intensive, so it may be challenging to run on older or less powerful computers. While the software is generally user-friendly, some of the more advanced features can take a bit of time and effort to master. Additionally, some users may find the software's interface to be cluttered and overwhelming. Finally, the lack of integration with other software tools can be a limitation for some users.
Not worth making your PC upset.
Opmerkingen: During the analysis of qual data, the working system was very practical. You just drag and drop the related excerpts into the codes or themes. However, it was working very slowly. There are more efficient ones in the market.
Pluspunten:
It is very useful for coding the qual data.
Minpunten:
It slowes the computer so much that whenever you try to code the lines in the transcriptions, the screen freezes for a couple of seconds.

Nvivo was the go-to QDA for graduate students for many years. Still a powerhouse.
Opmerkingen: Nvivo is robustly designed and can handle very large projects that involve text, video and audio. I believe AtlasTI or MaxQDA offer better feature sets.
Pluspunten:
Nvivo runs on Windows, Mac. This is important for exchanging data on research teams whose members will be using both Windows and Mac computers. Colleagues have often commented on how Nvivo is easy to use for content and thematic analysis. By using Nvivo to define codes and tag documents with the codes as you move through the document. This grounded approach will allow users to build an understanding of the underlying themes in the data. Each coded segment in Nvivo called a "node", can have a set of custom properties that include instance-specific values can be either flat, or hierarchically arranged, each of which has certain advantages. Flat coding prevents imposing a structure on data while hierarchical coding can help researchers find patterns in the document, assists with analysis and building models. Many tutorials can be found online and via the MaxqDA website. The user discussion forum is also a useful place for learning how to use the program and to apply the software to specific research needs. Because good tutorials can be found easily, users will have less trouble learning how to use this powerful program
Minpunten:
It does not offer a portable version that users can use when travelling or in the field on someone else's computer. This is a drawback and restricts use to the user's computer only. The student license, while cheaper than the other major QDA vendors, is only valid for 12 months. If you are doing a PhD (which could take many years), you'll have to purchase a full version of the software which is really rather pricey. Nvivo may not be as good as MaxQDA for helping researchers build interrelationships among the data.

Very good tool for qualitative analysis, MAC version is poorer than WIndows version
Opmerkingen:
I am using both Mac and Windows versions of NVivo (NVivo 11).
As a researcher who conducts empirical research, I often need to analyse interview transcripts/records/videos. In NVivo, I find the functionalities that I've ever needed for such analyses, for example coding and visualising results. It really makes my life as a researcher easier.
Pluspunten:
- This is a sophisticated Quality Data Analysis program which provide a wide range of functionalities and supports that make researcher's life easier. - NVivo supports many inputs including text, PDF, survey, audio, video and graphical files. - It has a lot of built-in functions for coding, retrieving, analyzing, visualizing and exporting. - Qualitative analysis is not an easy task and sometimes requires team-effort - That's great that QSInternational realized it and provided a good supports for team work.
Minpunten:
- The biggest problem with NVivo for our team was incompatibility between NVivo versions. As a team, we used different versions of NVivo on both Windows and Mac, and it turned out that exchanging the data was not so easy (for example, an Nvivo project exported from Windows cannot be properly imported to Mac version and vice versa). - Some functions are not intuitive and therefore take time to learn by reading the manual or by viewing the online tutorials. I understand there is always learning curves to be expected when it comes to using a new tool, but I would expect more build-in example, guideline within NVivo for that.