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Was ist NVivo?
Qualitatives Textdatenanalysesystem zur Analyse von Ergebnissen klinischer Studien, Umfrageantworten und mehr.
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Bewertungen über NVivo
Discovering the Best of NVivo
Kommentare: 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.
Vorteile:
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.
Nachteile:
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.
NVivo Review
Kommentare: NVivo is a cloud-based Data analysis software developed by QSR International. It has multiple features and a well-designed interface that makes data categorising less tedious. The interface contains a customisable navigation view and context-specific ribbons. It supports different data including textual, PDF, survey, audio, audio, video, images, Outlook emails, and spreadsheets. My students and use NVivo as our main data analysis software. It allows us to manage data in large projects and many languages including character-based languages like Mandarin. We also use NVivo NCapture, a browser add-on, to capture webpages from social media like Facebook, Twitter and YouTube. We Create mindmaps, project and concept maps to show data and idea associations. NVivo's audio transcription also saves us a lot of time and money when dealing with recorded audio interviews. I recommend NVivo as a personal, business, academic, and professional data analysis software.
Vorteile:
NVivo allows researchers to find correlations and relationships between themes, people, and places in one software. It is easy to import data from other programs, including Survey Monkey, EndNote, RefWorks, Zotero, Mendeley, MS Outlook, EverNote, OneNote. NVivo Integration allows Microsoft Word, Excel and Outlook files to imported to NVivo, using free add-ins. NVivo integrates with bibliographic and referencing software like Endnote and Mendeley for easy citations and references. NVivo auto-codes and identifies themes and sub-themes, regardless of data volume and complexity. NVivo also allows Cloud collaboration through small teams of up to 5 members. This means a group of 5 or fewer members can work in collaboration with one project. The Windows version allows bigger groups. Since NVivo is cloud-based, team members do not have to worry about losing their project. Team members can use the multi-level ‘undo’ function whenever a need arises.
Nachteile:
NVivo offers three packages, Plus, Pro, and Mac. The student license is not as expensive as a full license but after a year, they are required to buy a license at the retail price.
Worst software, terrible customer service.
Kommentare: This was a horrible experience. NVivo is a poorly maintained software that is extremely overpriced. Once they get you to buy the software, it's like pulling teeth to get help.
Vorteile:
The visualization options are pretty decent and easy to navigate.
Nachteile:
Customer service is atrocious. We spent months trying to get a response out of them. They almost never helped us with anything. It was the most worthless software. Especially the collaborative software. It just doesn't work and was constantly breaking and not syncing. One colleague used it on Mac and there was an unsolvable bug where she could not view the quotes clustered based on the codes, which would take months to fix. So we had to buy her a PC. Then she had a problem again with it not syncing/working and again, no one would help her resolve it. Then the folks said they would give her a month of use for free, but then they took a month to respond. They are very fast to request money, though.
Nvivo was the go-to QDA for graduate students for many years. Still a powerhouse.
Kommentare: 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.
Vorteile:
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
Nachteile:
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
Kommentare:
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.
Vorteile:
- 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.
Nachteile:
- 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.
