About NVivo Software - Authorized Reseller USA

What's New In NVivo 11 (For users familiar with NVivo 10)

System Requirements

The NVivo Suite (For New Users)
For most dissertations - we recommend NVivo 11 Pro for Windows (c)

a) NVivo for Mac - Advanced qualitative research software - as a native Mac application.

b) NVivo 11 Starter for Windows - Powerful analysis of text based data with limited features.

c) NVivo 11 Pro for Windows - More data types, more complex analysis. Get all the features in NVivo Starter and more. Includes matrix queries and many other useful features for disseration analysis.

d) NVivo 11 Plus for Windows - Reach findings faster, analyze networks.
Get all the features in NVivo Pro and more.

For most dissertations - we recommend NVivo 11 Pro for Windows (c)

Data Sources:

  • Text documents: txt, rtf, doc, docx, pdf formats; editable text. (a, b, c, d).
  • Images: bmp, gif, jpg, tif, png formats; picture log notes & comments (a, c, d).
  • Audio & video:
    -mp3, wav, m4a, mp4, avi, mov formats; editable synchronized transcripts, waveform visualization (a, c, d).
    -wma, mpg, mpe, wmv, qt, 3gp, mts, m2ts formats (c, d).
  • Datasets:
    -spreadsheets, surveys, databases in xls, xlsx formats, display as Table View (a, c, d)
    -txt, ODBC formats; display in Form View (c, d).
  • Webpages: NCapture to capture web pages in browser and import as pdf (a, c, d).
  • Social media: Import comments from Twitter, Facebook (a, c, d); Import comments and videos from YouTube (c, d).

Data Interoperability:

  • Qualitative analysis software:
    -Use NVivo 11 for Windows to convert projects to NVivo for Mac format (a).
    -Convert and work with projects in software by QSR, Atlas.ti, MaxQDA, and Framework (b, c, d).
  • Reference management software: Import bibliographical data, notes and article attachments from EndNote, Mendeley, RefWorks, Zotero (b, c, d).
  • Statistical analysis software: Import and export delimited text files and spreadsheets to and from Microsoft Excel, Microsoft Access, and IBM SPSS Stats (a, b, c, d).
  • Note-taking software: Export from Evernote and OneNote into NVivo with the same structure. Collect notes using Evernote on devices such as tablets and phones, and import directly into NVivo via API (b, c, d).
  • Online survey software: Generic Survey formats (a, c, d); Import survey responses and demographic data from SurveyMonkey. Supports SurveyMonkey API (c, d).
  • Generic formats: txt, csv (a); Web browsers, Microsoft Office, Microsoft Excel and text files in html, xml, xls, xlsx, and txt formats (b, c, d).
  • Transcription: Order transcripts from TranscribeMe and sync automatically to media file in NVivo project (c, d).
  • Social media: Collect data from people, organizations and groups published on Twitter, Facebook (a, c, d); or YouTube (c, d).
  • Social network analysis: Build and analyze links between people and other entities. Visualize the connections between population and derive further insight through network matrices. Supports PAJEK (d).

Data Management:

  • Organization: Folders, Sets (a, b, c, d); Search Folders (c, d).
  • Transcription: Import existing transcript or create one within NVivo, and link to corresponding audio or video file (a, c, d).
  • Reliability: Store data and material in single file making project portable (a, b, c, d).
  • Security: Protect access with User Profiles, User Passwords, Encoded Storage (a, b, c, d); User Permissions (b, c, d).
  • Scalability: Work with large amounts of data - 512GB (a); up to 10GB or remove limits with NVivo for Teams (b, c, d).
  • Traceability: Track team member changes with audit log of user actions (b, c, d).
  • Recoverability: Multi-level undo (a, b, c, d); automatic backup and recover; project repair; project restore (b, c, d).

Data Analysis:

  • Coding: In-Vivo and thematic hierarchical coding (a, b, c, d); relationship coding (c, d).
  • Case Coding: Categorize and classify data by people, places, organizations, and other entities to analyze who, what, and where questions (a, b, c, d).
  • Auto coding by structure: Automatic coding of responses contained in datasets (a, c, d); or documents formatted with paragraph styles (c, d).
  • Pattern-based auto coding: Based on existing coding patterns (d).
  • Classifications: Source classifications with attributes (a, c, d); Case classifications with attributes (a, b, c, d); assign colors to project items (b, c, d); see color assignments in charts, models and other visual tools (c, d).
  • Annotations: Annotations for documents and pdfs (a); Create editable notes to comment on selected content (b, c, d).
  • Memos: Record and store insights, observations and interpretations, and link to other memos, sources, and nodes (a, b, c, d).
  • Links: Hyperlinks to web pages and files outside of your project (a, b, c, d); "See-also" links note a comparison or to lay a trail of evidence (c, d).
  • Framework matrices: Framework analysis to condense large volumes of data into a table (c, d).
  • Social network analysis: View case relationships and social media interactions (d).
  • Automated insights: Use automated analysis of themes and sentiment to discover emerging themes within data in a matter of minutes (d).

Data Exploration:

  • Text search query: Query words and stemmed words, phrases or concepts (a, b, c, d); Using AND, OR, NEAR operators (a, c, d).
  • Coding query: Find overlaps and intersections using AND, OR (a, b, c, d); using NEAR (c, d).
  • Word frequency query: Words (a, b, c, d); frequently occuring concepts (c, d).
  • Matrix coding query: Compare across nodes, sets, or attributes by querying to cross tabluate coding and/or attributes (a, c, d).
  • Find: Content (a, b, c, d); Name (b, c, d); Group Find (c, d).
  • Reports: Pre-defined reports or create using a Wizard. Save and share. (c, d).

Data Visualization:

  • Coding stripes: Display for nodes (a, b, c, d); display and print for nodes, attributes and users (b, c, d).
  • Charts: Columns, pie and bar charts; range of customizable charts (b, c, d).
  • Word clouds: Cusomizable visual representation of most frequently appearings words in selected materials or nodes (a, b, c, d).
  • Cluster analysis: Dendograms, circle graphs, cluster maps (c, d).
  • Word trees: See and explore context surrounding most frequently occurring words (a, b, c, d).
  • Tree maps: Visualize hierarchical patterns and prominent themes (c, d).
  • Geovisualization: Map location of social media contributors based on user profiles (c, d).
  • Explore diagrams: Dynamic diagram shows connections between project item and related project content (b, c, d).
  • Comparison diagrams: Visually compare two sources, nodes, or cases (b, c, d).
  • Project map: Connections in project items (c, d).
  • Concept map: Freeform diagramming tool (c, d).
  • Mind map: Brainstorm and visualize; develop project structure at beginning of project (c, d).
  • Egocentric sociograms: Visualize how central case is connected to other cases (d).
  • Network sociogram: Visualize connections, or lack of connections, between group of cases (d).
  • Social media sociograms: Visualize Twitter datasets to see network of Twitter users, and connections between retweets and mentions (d).

Language Support:

  • Spelling dictionary: Chinese, English (US, UK), French, German, Japanese, Portuguese, and Spanish (b, c, d).
  • Data language: Work in virtually any language including character based language such as Japanese and Mandarin (a, b, c, d).
  • Query dictionary language: Run text search and word frequency queries in 7 languages - Chinese, English (US, UK), French, German, Japanese, Portuguese, and Spanish (a, b, c, d).
  • User interface language: Work with an English user interface (a, b, c, d).

Teamwork Support:

  • Merge projects (c, d).
  • Multi-user projects (b, c, d).
  • Coding comparison (c, d).

User Assistance: all products

  • Getting Started Guide
  • Online help
  • Online tutorials
  • Sample project
  • System Administrator help
  • Community resources
  • Update notifications

System Requirements


Contact kconger@datasense.org
661.221.3506 Ph

Specializing in
Qualitative Data