Introduction to NVivo for qualitative and mixed-methods analysis, Certificate | Part time online | University of Surrey | United Kingdom
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Introduction to NVivo for qualitative and mixed-methods analysis

2 days
Duration
255 GBP/full
255 GBP/full
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

NVivo is a powerful software for the qualitative and mixed-methods analysis of text, audio, video, survey and social media data. University of Surrey offers the Introduction to NVivo for qualitative and mixed-methods analysis programme. 

Overview

Key facts

This two day course provides a comprehensive overview of NVivo and an opportunity for participants to practice tasks using their own data. The focus is on gaining confidence in setting up a project efficiently, managing and organising data, exploring and conceptualising data and interrogating and visualising data.

During the first day sample data are used to become familiar with tools, and the whole group follows common tasks together and practices exercises individually. Work is structured to provide step-by-step support.

During the second day participants may set up their own NVivo project and work with their own research materials if they wish. Alternatively they may continue to work with the sample data. The first part of the day focusses on translating the tasks covered in day one into practice. Individuals and teams work independently, with support from the tutor. The remainder of the day focuses on experimenting with more sophisticated uses of tools. Possibilities and implications are discussed, demonstrated and practiced.

University of Surrey's Introduction to NVivo for qualitative and mixed-methods analysis programme will teach you more about this topic. 

Programme Structure

Courses include:

  • Principles of using NVivo throughout the research cycle
  • Data preparation, import and organisation
  • Data exploration and familiarisation
  • Coding strategies including appropriate uses of auto-coding
  • Use of writing and visualisation tools to reflect on data and processes
  • Querying and outputting.

Key information

Duration

  • Part-time
    • 2 days

Start dates & application deadlines

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

No prior knowledge is necessary.

Tuition Fee

To always see correct tuition fees
  • International

    255 GBP/full
    Tuition Fee
    Based on the tuition of 255 GBP for the full programme during 2 days.
  • National

    255 GBP/full
    Tuition Fee
    Based on the tuition of 255 GBP for the full programme during 2 days.
  • £255
  • Students
  • £310
  • Education and charitable sector applicants
  • £435
  • Government and commercial sector applicants

Funding

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