Working with NVivo – An online course in four sessions (English only)

Analyse
Inter-entreprise
Distanciel
Anglais

Objectifs

Course objectives:

  • Understanding the methodological implications of using NVivo in a qualitative research project.
  • Understanding the application’s interface and how it is meant to be used.
  • Being able to import and organize qualitative data in NVivo.
  • Being able to code data.
  • Using the advanced features of the software (queries, autocoding, visualizations, quantification of qualitative analysis).

Prerequisites:

Familiarity with basic computing; being able to manage and organize files; familiarity with the Microsoft Office suite.

 

Sequencing: 4 modules of 3.5 hours over 4 days (total duration of 14 hours)

 

Results & skills expected at the end of the training:

Being capable of importing data, organizing data by using classifications and coding data. Being aware of the possibilities offered by the software in terms of queries and visualizations.

See PDF for all details.

Programme de la formation

Module #1:

  1. Qualitative analysis with NVivo and software interface presentation.
  • Basic principles of qualitative analysis.
  • How NVivo can help analyzing qualitative data.
  • Tour of the interface: understanding the four-step process.
  1. Starting a project.
  • Workspace organization and files import (Word documents, PDFs, images, audio/video files).
  • The NVivo mind map: brainstorming as a starting point for coding.
  1. Importing source files.
  • Importing documents, emails, references, image and video files.
  • Importing surveys and datasets.
  • Using memos, links, “see-also” links, and annotations

 

Module #2:

  1. File classifications
  • What are file classifications and how to use them.
  • Reference files, a special case of file classification.
  • Folders, static sets and dynamic sets.
  1. Cases and case classifications.
  • What are “Cases” in NVivo and how to use them to quantify qualitative data.
  • Case classifications, case attributes and values.

 

  1. Coding
  • Coding, Uncoding, Code in vivo, Autocode.
  • Autocoding themes and sentiments.
  • Coding relationships.
  • Exporting codes (creating a codebook).

 

Module #3:

  1. Working with data.
  • Working with PDFs, Audio/video files, and images.
  • Analyzing surveys.
  • Creating audio and video transcripts.
  • Using NCapture to import and code Internet sources.
  1. Working with references.
    • Importing and coding references to do a literature review.

 

Module #4:

  1. Queries
  • The query wizard.
  • Text search, Word frequency, Matrix coding queries.
  • Crosstab, Coding comparison query.
  • Compound query, Group query.

 

  1. Visualizations
  • Charts, Hierarchy charts.
  • Cluster analysis.
  • Explore diagram.
  • Project map, concept map.
  • Social network analysis (upon request).
Durée
14 heures
Niveau
Débutant
Public
Students, researchers, and professionals who need to analyze qualitative materials, such as interviews, reports, videos, sounds, webpage data<br /> <br />
Participants
8 personnes maximum
Short courses : 999 EUR VAT excl/participant.

Next taining course : * 06-07-13-14 February 2023 (9am-12.30 am)

On-site courses: Please contact us for a personnalized offer.
Prochaine session : 
06 février 2023

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