Preparing to use NVivo® (standalone online learning course)
Team Researcher Academy
This online course is delivered by the Researcher Academy
The Researcher Academy courses are very popular and the majority are run in both semesters to give you the opportunity to attend at a time of the year that suits you. Semester 1 courses will be available for booking from the second week of October and Semester 2 courses from the second week of February.
Target Audience: mid stage postgraduate research students (especially off-campus) and early career researchers.
This course is for you if are new to qualitative research and curious about NVivo®; a widely used computer assisted qualitative data analysis software package which provides a potentially useful tool for the management and analysis of qualitative research data. Whether you are based in the UK, Malaysia or China this course will take you through some of the tools of NVivo® and why you might (or might not!) want to use them.
Please note, the skills addressed in this online course are appropriate for NVivo9® and NVivo10®. We will be curating support resources for the latest version (12) and updating the online course later this year. Meanwhile please do consult the NVivo v11 and v12 tutorials provided by the originator at https://www.qsrinternational.com/nvivo/free-nvivo-resources/tutorials
During this course you will be introduced to the software NVivo® and some of its features. The course will cover some of the strengths and limitations of using the software and its main functions. It will also allow you to familiarise yourself with the workspace and language used as well as providing the opportunity to begin practicing using NVivo®.
This course contains links and external content from QSR International, the makers of NVivo®. Embedded content is used with their permission.
Please note the course provides no training in the analysis of qualitative data.
The aim of this course is to prepare you to use the basic functions of the software NVivo®.
By the end of this course you will:
understand the functions of NVivo®
be able to list some of the advantages and limitations of NVivo®
know that NVivo® does not analyse data
have considered your next step in your NVivo® training
have the basic skills to begin using NVivo® with your own data and take advantage of online support resources
This is a standalone (self-study) online course. This course is delivered entirely online via Moodle and is self-study. You may access the course as often as you like until the end of the academic year.
Researchers across all 3 campuses can self-enrol on this course in Moodle by following this link:
To gain Researcher Academy training points for this course you will need to complete a multiple choice assessment. The 'pass' mark is 70%, you may take the assessment as many times as you like. If you would like to gain Researcher Academy training point/s for this course you must complete the short assessment tasks associated with it.
Completion of the assessment is optional for students based at our UK and Malaysia Campus'. Students based at our Ningbo China Campus should not complete the assessment. As this course provides no training on understanding the nature or analysis of qualitative data, it is recommended that you attend other courses specially designed for those purposes, such as, the Qualitative Methods Tutor and Research Interview Skills.
Related Courses and Resources:
The Researcher Academy's online courses and resources workspace has a wealth of resources that may be useful to your research. Visit our Qualitative Research Resources page for links to online learning objectives, video and materials from our occasional NVivo Seminars.
Our webinars/ online courses are very popular, especially in the current period and we are experiencing large volumes of people on our waiting lists.
Please do let us know if you would like to cancel your place on this courseso we can offer your place to another delegate.
Please note, attendances for webinars/ online courses will still be recorded and corresponding training points, when shown as available, will be awarded.