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  2. NVivo - Wikipedia

    en.wikipedia.org/wiki/NVivo

    NVivo is a qualitative data analysis (QDA) computer software package, formerly developed and marketed by QSR International, which is now part of Lumivero. NVivo is used in the social sciences, such as anthropology, psychology, communication, sociology and human geography, as well as fields such as forensics, tourism, criminology and marketing.

  3. QSR International - Wikipedia

    en.wikipedia.org/wiki/QSR_International

    NVivo is a qualitative data analysis (QDA) software package that was first released in 1999. NVivo allows users to import, sort and analyze data like web pages and social media, audio files, spread sheets, databases, digital photos, documents, PDFs, bibliographical data, rich text and plain text documents.

  4. Computer-assisted qualitative data analysis software - Wikipedia

    en.wikipedia.org/wiki/Computer-assisted...

    Such software helps to organize, manage and analyse information. [21] The advantages of using this software include saving time, managing huge amounts of qualitative data, having increased flexibility, having improved validity and auditability of qualitative research, and being freed from manual and clerical tasks.

  5. Qualitative research - Wikipedia

    en.wikipedia.org/wiki/Qualitative_research

    Common qualitative data analysis software includes: ATLAS.ti; Dedoose (mixed methods) MAXQDA (mixed methods) NVivo; QDA MINER; A criticism of quantitative coding approaches is that such coding sorts qualitative data into predefined categories that are reflective of the categories found in objective science. The variety, richness, and individual ...

  6. Category:QDA software - Wikipedia

    en.wikipedia.org/wiki/Category:QDA_software

    Software for qualitative data analysis, also known as Computer assisted qualitative data analysis software (CAQDAS). Subcategories This category has only the following subcategory.

  7. ATLAS.ti - Wikipedia

    en.wikipedia.org/wiki/ATLAS.ti

    ATLAS.ti is a tool that supports locating, coding/tagging, and annotating features within bodies of unstructured data; it also offers visualization functions.The software is used by researchers in a wide variety of fields, and it supports data in text, graphical, audio, video, and geospatial format. [3]

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