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Titre

Fundamentals of NVivo

Dates

21-22 October 2021

Lang EN Workshop language is English
Organisateur(s)/trice(s)

Mme Özlem Lakatos, Université de Genève (doctorante)

Intervenant-e-s

Mme Marie-Hélène Paré (freelance)

Description

 

This course combines the basic concepts of qualitative data analysis (QDA) with the essential features of NVivo for analysing qualitative data. This is the course you need if you are new to qualitative analysis and want to use NVivo from a methodological perspective that goes beyond learning a software from purely a technical angle. The course is structured around four modules that follow the logical sequence of the qualitative analysis process. You will learn to organise a qualitative dataset in NVivo; manage your literature review in NVivo; distinguish between inductive and deductive approaches for coding qualitative data; seek patterns and identify relationships in the data; generate and falsify hypotheses; create second-level constructs; present findings using visualisations and create a solid audit trail to ascertain the trustworthiness of your study. Please note that this course teaches only the most salient features of NVivo. For a more comprehensive course, see the Introduction to NVivo: 

www.mariehelenepare.com/courses/nvivo-courses/introduction-to-nvivo/ 

 

Programme

 

Schedule: 9am-4pm

Day 1 am
Setting up an NVivo project

  1. QDA: definition and concepts

  2. Importing and organising data in NVivo

  3. Managing a literature review

  4. Exploring the textual data

  5. Using externals

  6. Memoing the research process

 

Day 1 pm
Coding qualitative data


1. Coding qualitative data: definition


2. Autocoding and coding data inductively

3. Theme- vs design-based coding schemes

4. My worst coding nightmare


5. Generating and falsifying hypotheses


6. Reporting the coding process in articles

Day 2 am
Analysing qualitative data

  1. Working with cases and classifications

  2. Using search tools for project management

  3. Creating sets for cross-case analysis

  4. Identifying patterns in the data

  5. Testing inter-coder reliability

  6. Reporting the QDA process in articles

Day 2 pm
Presenting qualitative findings


1. Benefits of presenting qualitative data visually

2. Generating maps, charts and diagrams


3. Using cluster analysis for coding consistency

4. Ascertaining trustworthiness of your study


5. Exporting data out of NVivo


6. More QDA courses with Marie-Hélène

 

Lieu

ZOOM !

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Délai d'inscription 14.10.2021
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