Booking request formDownload Brochure28-29 Aug 2013 - NVivo 10 at Liverpool, Merseyside, UK.
Overview of the two-day Introduction to NVivo 10 Training
Target Audience
All researchers, academics, research assistants, service staff, and students who are collecting qualitative data involving: documents, photos, audio, video, spreadsheets, databases, literature reviews, bibliographic references, social media content (twitter, linnkedIn, facebook), and Evernode files, and are aiming to qualitatively analyse the data using any methodology; including mixing qualitative and quantitative data.
This course is designed for the complete beginner as well as those who have used previous versions of the software e.g. : NVivo 9, 8, 7, and 2, N6, and N4.
Pre-requisites
No previous knowledge is required and you are encouraged to bring your own data, if you have any, at least a transcript of one interview in Word format or a pdf of a literature search. You will be provided with data if you have no data. Laptops are provided for all participants, however if you prefer to work from your own laptop, then you are welcome to bring it but please make sure that NVivo is installed on the laptop before bringing it to the course. If you have not yet acquired your own NVivo 10 licence, you can download a FREE 30day trial copy from the QSR website.
Aim of the Course
This two-day workshop will provide you with a thorough introduction of the main features of NVivo 10, using a sample data. You will learn how to efficiently and effectively manage, code and analyse: structured, semi-structured and unstructured interview data and other sources including multimedia data, PDF files, social media contents, Evernote files, Excel spreadsheets, Access databases, and bibliographic references. You will also be shown how to use framework matrices, queries, models, graphs, reports and extracts.
Course Outline
- Explore NVivo 10 software using a sample project
Set up a New Project
- Create a folder structure to store your documents – internal, external, memos and a project journal.
- Create Node folders to store your thematic coding framework(s), case nodes, and auto-coding nodes.
- Import your project sources - documents, transcripts, videos, audio files, photos, twitter, web pages, Evernotes, pdfs, databases, spreadsheets and bibliographic data.
- Explore how to transcribe audio and video files in NVivo.
- Examine how by using using heading styles, you can quickly and conveniently auto-code responses of your transcripts by questions, topics and speakers. This is particularly useful when working with focus group transcripts.
- Classify your sources and nodes.
- Store your reflections, ideas and field notes as memos, annotations, See Also links, and hyperlinks.
- Link thoughts or anchor key phrases and words within transcripts to to build associations and gain clarity of the text. This enhances your coding.
Code Sources into Thematic Coding Structure and Temporary Themes
- Code references from sources into the thematic coding framework nodes and or free or emergent nodes for later re-housing into the thematic framework nodes.
- Explore how to code video and audio media, without the use of full transcript, directly in NVivo.
- Sort, merge, relocate, organise, rename and restructure your thematic nodes.
- Examine and ‘weed out’ or validate the collection of references gathered into the thematic nodes.
- Code-on further from your existing nodes (themes), for in-depth analysis.
Use Collections, Queries, Models and Graphs to explore patterns and analyse themes
- Filter your data by creating a collection of search folders to explore your research questions.
- Create queries to excavate in-depth meaning; explore patterns and relationships in the data.
- Create models to display patterns and relationships; and to summarise your current understanding of the project.
- Export your models to PowerPoint to present your findings.
- Visualise your project in charts, tree maps and cluster analysis diagrams.
Explore Framework Matrices
- Create framework matrices to summarise your data.
- Surmmarise your coding references automatically into framework matrices.
Reporting and Administration
- Produce various administrative reports of your project items.
- Learn how to setup a project involving a number of researchers or coders from different geographical locations, working on the same project.
Learning Support on the Course
Your tutor will require you to set-up your own project. You will be given time to receive feedback on your node structure, coding, classifications, models, graphs and queries. Your node system will be thoroughly examined for efficiency, to ensure that the structure will support in-depth data analyses.
Your tutor will require you to set-up your own project. You will be given time to receive feedback on your node structure, coding, classifications, models, graphs and queries. Your node system will be thoroughly examined for efficiency, to ensure that the structure will support in-depth data analyses.
Teaching Methods
The teaching method is mainly hands-on, its supported by presentation, demonstration, reflection, insightful exercises, discussions, questions and answers, opportunity for participants to share tips and insights, and clinic sessions for advice on your own data.
Cost
The two days course cost for academic delegate is £323.26+VAT and £371.75+VAT for commercial delegate. Participants receive a comprehensive training workbook, after training support, lunches and refreshments for the duration of the 2 days.
Recognition for Learning
Participants will receive a certificate of attendance on completion of the course.
Booking
Please request booking by using the booking tab on the top right-hand side of this page.
Note!
We only take maximum class size of 9 to ensure that high quality and responsive learning support is given to each participant on this course. Please email to check if there are places on the course.
Horton House, Exchange Flags, Liverpool, Merseyside, L2 3 PF. Tel: (0151) 244 5400 Download map and directions to venue.
Printable Lesson Plan for the Two days course.