Computer-assisted Qualitative Data Analysis using NVivo

Course Information
NVivo is a computer software package produced by QSR International that supports qualitative and mixed methods research. It has been designed for researchers working with very rich text-based and/or multimedia information (including interviews, open-ended survey responses, pictures, audios, videos, articles, social media and web content), where deep levels of analysis on small or large volumes of data are required. A completion certificate will be issued to each participant.
course information
Code: NVivo 102
Offered: Globally
Duration: 5 days
Timing: 9 am - 5 pm
For Skill Level: 1 to 3
Price: per head quotation
Booking: Request Form
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The course is designed

  • for those already familiar with qualitative research approaches and interested in using NVivo to assist with their tasks of qualitative data management and analysis.
  • for participants to learn how to analyse qualitative data using NVivo
  • to take a holistic view of the analysis of qualitative data using computer assisted techniques
  • to examine not only the mechanics of driving the NVivo software package but also how to plan for the collection of data, preparation of data for analysis as well as the analysis of the data
  • to introduce advanced analysis tools including those for theory building, validation and presentation of findings
  • so that participants can explore applications of the software to their own research projects
  • to work on sample data but participants should bring their own data sets, if they have, and/or copies of articles and research reports relevant to their field of study
  • to target audience who are researchers in the social sciences and related fields that draw on qualitative data
  • as an introductory level course which would suit researchers (including postgraduate students) with limited experience in qualitative methods and computer-assisted analysis techniques and processes

Course Format

  • This training will be conducted using the Microsoft Windows platform only.
  • NVivo for Mac are welcome, but must be aware that all demonstrations will be provided in Windows.
  • Participants will be expected to have the latest version of the software installed on their own devices.
  • A 14 day free trial is available through QSR International.
  • Please do not open the trial version until just before the start of the course.
  • Once (or if) you have NVivo installed, please check the latest updates are installed within the program.
  • If you are using a laptop from your workplace, it will be essential that you install all your updates before attending the course. You may not have the authorisation to install software outside of your work environment.
  • Please have EndNote installed on your PC. The use of NVivo and EndNote will be demonstrated.
  • You will also need a copy of Micosoft Office on your PC.

Related Courses

  • NVivo 101: NVivo Essentials
  • NVivo 103: Systemic Literature Reviews using NVivo
  • NVivo 104: Preparing publications using Nvivo

Requirements

  • Group: 15-20 participants
  • Venue: white board, quality data projector, access to printer
  • Catering: tea/coffee/lunch

Instructor

Syllabus

Day 1: Getting to know NVivo (working environment)
  • Project design issues and their application in NVivo
  • Creating, saving and backing up NVivo Projects
  • Gathering and preparing data for analysis in NVivo
  • Working with data sources, including text, spreadsheet, audio and video formats and handling non-text data within the context of a NVivo project
  • Organising and managing data sources
Day 2: Managing and thinking about data and recording reflections
  • Coding qualitative data
  • The role of journals, memos and an audit trail
  • Using memos, links and annotations to reflect on and record ideas about data
  • Documenting conversations, themes and threads
  • Exporting memos to Microsoft Word
  • Coding data in media other than text
  • Comparing coding and linking as tools for making meaning
  • Introduction to framework matrices
Day 3: Different approaches to coding and analysis
  • Using automated coding processes to search and code text of articles
  • Introduction to word frequency queries and cluster analysis
  • How bibliographic packages interface with NVivo
  • Using NVivo to assist with visualising themes, conceptualising the literature and identifying gaps in the current knowledge base
Day 4: Advanced analysis techniques
  • Classifying sources and nodes
  • Ways of representing demographic characteristics and other attributes
  • Advanced coding procedures
  • Introduction to advanced find and query functions including applications of matrix coding queries
  • Analysis of quantified qualitative data
Day 5: Reporting your results and other software applicationsOn the final day, we will explore various ways of using NVivo to conceptualise and build theory, including the use of Leximancer. We will discuss the accepted conventions for representing and reporting findings. Finally, we will introduce and review other computer-assisted qualitative data analysis software offerings, including Atlas.ti, Transana and MAXQDA.

prerequisites

  • Qualitative research methods and techniques knowledge.
  • Familiarity with Windows based computer environments.

Recommended Texts

  • Edhlund, B. and McDougall, A. (2019). NVivo 12 Essentials. Sweden: Form & Kunskap AB.
  • Bazeley, P. & K. Jackson. (2013). Qualitative Data Analysis with NVivo (Second Edition). London: Sage.
  • Miles, M. B., A. M. Huberman & J. Saldana. (2013) Qualitative Data Analysis: A Methods Sourcebook (Third Edition). Thousand Oaks: Sage.
  • Richards, L. (2014). Handling Qualitative Data: A Practical Guide (Third Edition). London: Sage.
  • Saldana, J. (2016) The Coding Manual for Qualitative Researchers (Third Edition). London: Sage.