Graduate School of health and Medical Sciences

Introduction to Nvivo
Provider: Faculty of Health and Medical Sciences

Activity no.: 3543-17-00-01
	Enrollment deadline: 13/11/2017

Date and time	14.12.2017, at: 09:00 - 15.12.2017, at: 16:00
Regular seats	20
Course fee	1,920.00 kr.
Lecturers	Morten Skovdal
ECTS credits	2.00

Contact person	Susanne Kragskov Laupstad E-mail address: skl@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration E-mail address: phdkursus@sund.ku.dk

Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School). All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student, you will be placed on the waiting list for the course until enrollment deadline. After the deadline of enrollment, available seats will be allocated to students on the waiting list. Learning objectives A student who has met the objectives of the course will be able to: 1. Discuss the benefits and limitations of using computer-assisted qualitative data analysis software (CAQDAS) 2. Assess how CAQDAS can be used to assist them in their research 3. Get started with NVivo for their research 4. Use various ‘queries’ within NVivo to explore qualitative data Content This hands-on course introduces participants to NVivo, a computer-assisted qualitative data analysis software package that can assist with the management and analysis of qualitative data. It will provide participants with the information and practice needed for them to get started with their own projects. Day 1 will introduce participants to NVivo and its workspace. Using sample data, participants will learn how to import and code different forms of data material (such as PDFs, audio, video, pictures, spreadsheets and transcripts). Participants will learn how to refine and shape an evolving coding frame as well as how to retrieve and view emerging themes from their data. Basic text analysis tools will also be introduced. In the afternoon, participants will have the opportunity to practice by setting up their own NVivo project, importing and coding their own material (if available at this time, otherwise sample data will be made available). Day 2 will introduce participants to some of the coding queries and visualisations that are available within NVivo to explore patterns within qualitative data. Participants will also learn how they can use NVivo to develop models and illustrate relationships within data as well as how to develop and export reports and visualisations of qualitative data. In the afternoon, participants will get an opportunity to practice on their own data. Please note that this is an introductory course and cannot introduce all of the functions available within NVivo. It does however aim to provide novices with the practice and confidence to use and further explore the functions available within NVivo. Participants PhD students with no previous experiences of NVivo Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: Medicine, Culture and Society Public Health and Epidemiology Language English Form This hands-on course will take place in a computer room. Each participant will have access to a Windows operated PC where NVivo is installed. Course director and teacher Morten Skovdal Associate Professor Section for Health Services Research, Department of Public Health m.skovdal@sund.ku.dk Dates 09:00-16:00, December 14-15, 2017 Course location CSS 2.2.18 Registration Please register before 13 November 2017 Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment. Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

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