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Two-day NVivo training course for staff this February

By Jasmin E Mullings, on 11 January 2019

Are you a member of staff interested in developing your knowledge of NVivo this term?

If so, we are offering an exciting opportunity to attend a two-day NVivo training course taking place on 27th and 28th February 2019 within the UCL Bloomsbury campus.

The 2 day course will be delivered by Dr Clare Tagg, an independent researcher and experienced QSR approved trainer. Clare has been providing workshops, advice and support for qualitative researchers using NVivo for over 15 years.  Clare’s clients include academic institutions, charities, government bodies and research organisations, as well as individual students. Please see the outline for the course below:

  • Day one: basic techniques to include
    • Understanding different Nvivo source documents (internal, external, memos) and importing sources
    • Understanding nodes – case and content nodes
    • Coding source documents
    • Annotations and links
    • Understand the value of building effective node structures
    • Work with text analysis and coding queries to explore and code textual data
    • ‘Coding on’
  • Day two: analysis of survey data in Nvivo

As the course will be run by an external trainer, we will be charging participants to attend at a cost of £200 per person (incl. VAT). Please note that the cost must be paid in advance via Inter Departmental Transfer (IDT) and is non-refundable unless we can find a replacement participant.

Places are limited to 12 seats and will be offered on a first-come, first served basis. If you would like to provisionally book a  place, please email isd-digiskills@ucl.ac.uk by Monday 28th January at the latest. We will send the first 12 respondents details on how to pay for the booking by IDT. Your place will then be confirmed if we receive payment by Friday 8th February, otherwise it may be offered to someone else.

If you cannot attend these dates but are still interested, please let us know as we may schedule it again in the future.

 

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