NVivo Advanced Courses

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One-day and Half-day NVivo Advanced Courses

Improve your data analysis skills with our one-day and half-day advanced courses. These courses are designed for those who are currently using NVivo and want to explore the advance features. It will enable you to efficiently classify, analyse and visualise your data in readiness for writing-up. The structure of the day is flexible and is tailored to the needs of the participants.

Small Class Size

To ensure that high quality and responsive learning support is given to each participant on our public courses, we only take a small class with a maximum of 9 participants. Therefore, it is important you register your interest early to secure a place. For client organised training, the class size is larger. Please see the specified information for administrators.

Pre-requisite

Please bring your NVivo project to class. Please see course details below for the course reminders.

Teaching Methods

The teaching method is mainly hands-on. It is supported by presentation, demonstration, discussions, questions and answers.

The tutor will screen share to examine each participant’s project on their coding, node structure, and classification, thereby providing suggestions, corrections and efficiency tips. This will ensure that your coding and node structure will support in-depth data analysis.

Training Workbook and Video Recording

Each participant receives an instructional workbook and the video recording of the training.

Certificate of Completion & After Training Support

Each participant receives a certificate of completion and ongoing after training support via phone, email and screen sharing.

Course Outline

One-day: Advanced Functions in NVivo

In this session you will learn to:

  1. Organise your growing open-codes into thematic coding structure using colour to cluster them.
  2. Use a number of queries – word frequency, text search, coding, matrix and group queries to ask questions and gather coded references to answer them.
  3. Use sets and search folders to organise and filter your data for specific research questions.
  4. Create relationship types and use them to construct relationship nodes to code into.
  5. Use concept maps, project maps to visually explore patterns and relationships in your data.
  6. Setup your own project and translate all the skills learnt onto your own project.
  7. Advice is given on how to setup and manage a group project involving a number of researchers or coders from different geographical locations, all working on the same project.

Use the remaining time to work on your own project and receive individual support from the tutor.

Course Reminders

This is an advanced or moving-on course so you will be working on your own NVivo project.  Sample data will be available to demonstrate skills for you to learn.

Start, Finish & Break Times in GMT

The day starts at: 9:30 am – 4:30 pm

Morning Break: 11 am – 11:10 am

Lunch Break: 12:30 pm – 1:30 pm

Afternoon Break: 3 pm – 3:10 pm

Course Outline

Half-day Part-1: Advanced Functions in NVivo

In this session you will learn to:

  1. Organise your growing open-codes into thematic coding structure using colour to cluster them.
  2. Use a number of queries – word frequency, text search, coding, matrix and group queries to ask questions and gather coded references to answer them.
  3. Use concept maps, project maps to visually explore patterns and relationships in your data.
  4. Questions and Answers of your project. You are invited to screen share with our tutor to correct your project and provide advice on efficiency tips.

Use the remaining time to work on your own project and receive individual support from the tutor.

Course Reminders

This is an advanced or moving-on course so you will be working on your own NVivo project.  Sample data will be available to demonstrate skills for you to learn.

Start, Finish & Break Times in GMT

Morning course starts at: 9:30 am – 12:30 pm

Morning Break: 11 am – 11:10 am

Afternoon course starts at: 12:30 pm – 4:30 pm

Afternoon Break: 3 pm – 3:10 pm

Course Outline

Half-day Part-2: – Advanced Functions in NVivo

In this session you will learn how to:

  1. Use a variety of queries – coding, matrix, cross-tabulation, compound, comparison and group queries to ask questions and gather coded references to answer them.
  2. Use sets to group sources and search folders to filter data to help to ask specific research questions.
  3. Use charts, maps, and diagrams to explore and to conduct in-depth analyses and to generate output for presentations.
  4. Questions and Answers of your project. You are invited to screen share with our tutor to correct your project and provide advice on efficiency tips.

Use the remaining time to work on your own project and receive individual support from the tutor.

Course Reminders

This is an advanced or moving-on course so you will be working on your own NVivo project.  Sample data will be available to demonstrate skills for you to learn.

Start, Finish & Break Times in GMT

Morning course starts at: 9:30 am – 12:30 pm

Morning Break: 11 am – 11:10 am

Afternoon course starts at: 12:30 pm – 4:30 pm

Afternoon Break: 3 pm – 3:10 pm

See Public Listed Courses

Register your Interest

We only need 4 interested people to put up an Advance course, so please submit your interest to make it happen.

Access to NVivo Software

What is the latest version of NVivo?

The latest version of NVivo was released in March 2020 and it supersedes NVivo 12. The latest version of NVivo doesn’t have a version number assigned to it, it’s simply called ‘NVivo’.  You may follow the tab below to download the NVivo.

You will need to have a myNVivo account to use the latest version of NVivo. The first time you open NVivo, you will be required to enter your myNVivo username and password to activate NVivo. The latest version of NVivo does not require a license key to activate the software.  If you have been provided with an Enterprise license for the latest version of NVivo, you may enter the license key and activate NVivo without signing in to a myNVivo account.

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