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Qualitative data analysis with CAQDAS NVivo 12 Plus software

February 14, 2020 @ 9:00 am - 1:00 pm

Location: CA242, Cairnes Building, NUI Galway
Galway, Ireland

Speaker(s): Professor Juan Miguel Rey Pino

Affiliation: Marketing Management and Market Research Department, Universidad de Granada

Organised by: Dr Christine Domegan

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RVSP christine.domegan@nuigalway.ie

The CAQDAS NVivo 12 Plus software supports qualitative and mixed-method research. This software allows for the import of different types of documents that researchers work with, such as transcripts, videos, audios or images from interviews or focus groups (among other techniques for obtaining qualitative data), in order to carry out different types of analysis. The software greatly facilitates such analysis through coding tools, as well as text queries through the dictionaries it has (it has dictionaries in several languages for semantic analysis).

In addition, using the NCapture add-on, which is installed free of charge in Firefox or Internet Explorer programs, you can download large amounts of information from social networks such as twitter or YouTube in the form of a database. Similarly, this complement allows you to download webpages such as Pdf with which you can work.

Finally, the software can also greatly facilitate a literature review, since it works with bibliographic managers such as Mendeley, Refworks or Endnote (among others) and allows you to insert articles in PDF format and search for exactly the information you are looking for.


  •  Teach the use of CAQDAS NVivo 12 Plus software for qualitative and mixed research.
  • Learning to manage qualitative, mixed or consultancy research projects.
  • Management of different sources of information (qualitative data) of a research project (text, audio, video, images, social networks, databases)
  • Use of the software to support literature reviews
  • Formulation of different forms of data analysis (inductive-deductive)
  • Handling of visual tools for the development of theories/hypotheses.

Aimed at researchers in training, students in the last year of their degree, master’s or doctorate.


1.       The creation of the research project with NVivo 21 Plus: project information management

  • Description of software and interface resources.
  • Project creation strategies.
  • Management of research data (resources).
  • Nodes and forms of coding for qualitative data.
  • Use of data classifications and attributes.

Exercise 1. Importing and creating data.


2.       Qualitative data analysis with NVivo 12 Plus and literature review (consultations).

  • Inductive search.
    • Autocoding (thematic, feelings, attributes).
    • Text search.
    • Word frequency
  • Deductive search.
    • Coding.
    • Coding matrix.

Exercise 2. Simple coding and use of inductive queries

Pro to edit this document.www.DeepL.com/Pro for more information.


3.       Simple coding analysis for qualitative research: strategies.

  • Queries:
    • Text search.
    • Word frequency.
    • Coding.

Exercise 3. Bibliographic analysis with the help of bibliographic database management software (Mendeley, Refworks…)


4.       Mixed research techniques and qualitative Big Data.

  •  Big Data and qualitative research data.
    • Twitter & YouTube.
      • Queries:
    • Automatic coding.
    • Coding matrix.
      • Exporting results, graphs and reports.

Exercise 4. Analysis of multiple social networks


Requirements: Basic knowledge of qualitative research methodology, laptop computer with Windows 7 or higher operating system (the MacOS version does not have many of the tools and will not be used in the course)


Work resources:

  • Software work file (Environmental Change Down East or similar).
  • New file from the following files to be imported:
  • Folder with PDF files reviewing tobacco control literature.
  •  Folder with sample NCapture files from social networks Twitter & YouTube.
  • Course files based on real cases.
  • Folder with bibliographic references.

RVSP christine.domegan@nuigalway.ie

Professor Juan Miguel Rey Pino, Marketing Management and Market Research Department, Universidad de Granada  jrey@ugr.es