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| NVivo | |
|---|---|
| Name | NVivo |
| Developer | QSR International |
| Initial release | 1999 |
| Latest release | 2024 |
| Operating system | Microsoft Windows; macOS |
| Genre | Qualitative data analysis software |
| License | Proprietary |
NVivo NVivo is a proprietary qualitative data analysis (QDA) application designed to assist researchers, policy analysts, and evaluators in organizing, coding, and analyzing unstructured data. It supports multimodal inputs and is intended to streamline workflows for qualitative inquiry across projects associated with institutions, funding bodies, and interdisciplinary teams. The software is widely adopted in settings ranging from academic departments and think tanks to non-governmental organizations and corporate research units.
NVivo provides tools for importing, coding, querying, visualizing, and reporting on qualitative data drawn from interviews, focus groups, field notes, policy documents, audio, video, and social media. It is often compared to other QDA systems used in human-subjects research environments such as ATLAS.ti, MAXQDA, and Dedoose. Professional users include investigators affiliated with universities like Harvard University, University of Oxford, and University of Melbourne, as well as staff at organizations such as World Health Organization, United Nations, and The World Bank. NVivo aims to bridge workflows used in projects funded by agencies like the National Institutes of Health, European Commission, and Australian Research Council.
NVivo originated at QSR International, a company founded in Melbourne that grew alongside the expansion of qualitative research in the late 20th century. Early adopters included scholars from institutions such as London School of Economics, Stanford University, and Yale University who sought tools for large-scale textual analysis. Over successive releases, the product incorporated features responding to methodological debates emerging from conferences like the American Educational Research Association annual meeting and the International Congress of Qualitative Inquiry. Corporate milestones involved partnerships and competitions with firms such as IBM and acquisitions in the broader research-software market. Development milestones mirrored technological shifts exemplified by releases of Microsoft Windows versions and adaptations for macOS platforms.
Core functionality centers on coding textual segments into user-defined nodes, enabling thematic analysis, pattern detection, and matrix queries. NVivo includes query builders comparable to those described in methods texts from authors affiliated with Rutgers University and University College London. It supports transcription workflows used by practitioners associated with transcription services employed by research units at Columbia University and McGill University. Visualization modules produce models, charts, and cluster analyses akin to presentations at Association for Computing Machinery conferences. Integration features enable linkage to reference managers such as EndNote, Zotero, and Mendeley, and to collaborative platforms used by teams at Massachusetts Institute of Technology and University of California, Berkeley.
NVivo is offered under multiple licensing models aimed at individual researchers, institutional subscribers, and enterprise deployments. Academic licenses are purchased by departments at universities including University of Toronto, University of Sydney, and Oxford Brookes University; commercial licenses are procured by consultancies working with clients like PricewaterhouseCoopers and Deloitte. Subscription options and perpetual licenses reflect trends in software procurement influenced by policies from procurement offices such as those at Princeton University and University of Michigan. Training and certification programs are delivered by providers operating in concert with organizations like Sage Publications and professional development units at The British Library.
NVivo supports import and export of formats used in qualitative workflows including plain text, rich text, Word documents, PDF, audio (WAV, MP3), video (MP4), and spreadsheet formats used by offices such as Office of Management and Budget-affiliated teams. Interoperability with statistical packages and data tools is enabled through exports compatible with SPSS, R (programming language), and Stata, and via connectors to survey platforms used by teams at SurveyMonkey and Qualtrics. Collaborative projects integrate with cloud services and versioning systems used by institutions like Dropbox and Microsoft OneDrive.
NVivo is widely employed in disciplines such as sociology, anthropology, public health, education, and management studies at centers like London School of Hygiene & Tropical Medicine and Wharton School. It supports funded research projects overseen by bodies including National Science Foundation, Wellcome Trust, and Australian National Health and Medical Research Council. In industry, market-research firms, user-experience teams at technology companies such as Google and Microsoft Corporation, and policy units within corporations like Unilever use the software to synthesize qualitative findings for stakeholders, audit committees, and regulatory filings with agencies like U.S. Securities and Exchange Commission.
Critiques of NVivo have addressed cost barriers for under-resourced researchers and institutions similar to debates seen around proprietary tools used by entities like Thomson Reuters and Elsevier. Methodological critics at seminars hosted by organizations such as Qualitative Research Association and journals including Qualitative Inquiry have noted risks of over-reliance on software for interpretive work and the potential for reifying coding decisions absent reflexive practice. Technical limitations cited include performance constraints on large multimedia projects noted by IT units at universities like University of Illinois and interoperability challenges with open-source ecosystems exemplified by tools from The R Project for Statistical Computing community. Concerns about data governance and compliance are raised by research offices aligning with regulations from bodies such as European Data Protection Board and U.S. Department of Health and Human Services.
Category:Qualitative research software