
Explore the general layout of nvivo 12, import your data set, and record initial observations to enhance validity and guide early analysis, including creating a basic model.
Start a new blank NVivo 12 project, name it, choose its location, decide on a project event log for team collaboration, and explore the workspace and menus.
Import your dataset into the Nvivo project using the top menu or the data folder, then access transcripts. Explore transcripts and learn about creating cases per file.
Learn how note-making drives qualitative data analysis by recording initial observations, assumptions, and hypotheses, maintaining an audit trail, and using diaries and coding books to support evidence and validity.
Create initial notes from interview transcripts by making annotations to identify barriers and facilitators of success. Use annotations to capture turning obstacles into positives and to access notes across sources.
Learn to use memos in vivo to record general observations across the study. Link memos to specific sources, organize them in folders, and add dates to entries.
Learn how see also links turn notes into interactive connections by linking memo entries to specific text fragments or whole sources, boosting cross-reference and data exploration.
Learn how mind maps and other models aid qualitative data analysis by visualizing assumptions, sparking hypotheses, and linking ideas to a coding framework using NVivo 12.
Organize your data into folders, create cases, and explore attributes and values to start analysis. Compare coding and run queries by participant characteristics like gender or employment.
Create and organize your data with folders to separate transcripts by data collection method, such as actors and chefs, and move items using right-click, cut/paste, or drag-and-drop.
Explains how folders create duplicates when moving transcripts between categories. Demonstrates creating sets that reference the same sources across actors, chefs, males, and females.
Turn transcripts into cases as analytic units and use classifications with attributes and values in a classification sheet to run queries, compare groups, and gain deeper data insight.
Turn sources into cases in Nvivo 12 by right-clicking and selecting create as cases, then assign a classification to units. Create a new classification, like person, and apply it.
Create and assign attributes and values to cases in NVivo 12, building a classification sheet. Choose value types: predetermined, numerical, date, yes/no, and apply them to gender, age, and occupation.
Visualize your classification sheet with charts that display attribute distributions and relationships, using single, multi-attribute, and hierarchy charts to gain insights and prepare chapters.
Master qualitative coding with NVivo: label text, open up data, and reveal patterns, while choosing your coding approach and debunking myths about automation and difficulty.
Learn how to create codes in vivo for qualitative data, select extracts, and name codes like taken risks, being yourself, and parents to organize transcripts.
Organize codes into parent-child hierarchies by creating top-level categories like facilitators and challenges, then move codes under them using cut-and-paste or drag-and-drop, and select multiple codes as needed.
Learn to read codes and use the coding framework to organize data, highlight coding, and view codes across reference, summary, and text views for efficient analysis.
Navigate decoding and encoding text fragments, merge and aggregate codes, and manage parent and child codes in NVivo 12 to build a coherent thematic framework and accurate data counts.
Visualize codes in nvivo 12 using charts and hierarchy views to show coding coverage and frequency, and export the framework to word or excel for presentation of attributes and values.
visualize coding by case attribute value to compare stress and anxiety with english at work and happiness with english level, using a 3d chart to reveal patterns.
Turn codes into yes/no attributes to enable deeper analysis and clearer queries, as shown by creating an emotional link attribute and setting a no value by default for large datasets.
Explore autocoding in NVivo 12, using heading-based and speaker-based codes to build an automatic coding framework for interview questions and focus group transcripts.
Explore after-coding queries that organize data and guide analysis, including word count, word frequency, and word search, plus matrix code inquiries in NVivo 12.
Explore overlapping codes in NVivo 12 by running a query that compares two codes to see where technology and analytics intersect with challenges to environmental sustainability in organizations.
Run coding queries by attribute values to filter stress and anxiety for those not happy with their English level and who use English at work, across sources.
Use matrix coding queries in NVivo to cross-tabulate multiple codes and variables, producing a table of coding references that reveals how themes vary by occupation and English language experience.
Discover the crosstab query in nvivo 12, a user-friendly tool that cross-tabulates codes with attributes and values. See how it highlights intersections and compares two attributes at a time.
Use text search to find mentions of stress or anxiety across files, then apply word frequency queries to reveal the most frequent words and support claims.
Learn to import questionnaire data into NVivo, analyze open-ended responses as qualitative notes, code comments, and integrate qualitative analysis with mixed-method studies.
Explore combining thematic analysis with focus group dynamics to analyze interactions, coding each participant's statements, and using older coding tools to reveal who said what in a single file.
Export elements of your NVivo 12 project with a right-click, including charts, query results, codes, or the whole project, for easy sharing and presentation.
Learn how to transform codes into themes in InVivo, building a thematic framework from initial codes to categories, including positives and negatives and psychological effects of online learning.
Celebrate completing the course and gain confidence using NVivo for data analysis, with ongoing support available for any software questions or comments.
⭐⭐⭐⭐⭐ "A million times better than the ones at my uni! " - Claire L. Johnston
⭐⭐⭐⭐⭐ "I highly recommend this course and instructor. He is a savior for the new researcher!!!!" - Jody Bergstrom
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Whether you are completely new to NVivo, or have some previous experience with it, you will find this course both useful and enjoyable.
I am a professional researcher, research consultant and academic tutor, and in this course, I will teach you complex ideas in a simple and approachable way and I will make sure that when you complete it:
➡️ you will be able to use a variety of functions of NVivo, ranging from simple note-making, sorting and coding to more complex data queries (see the details in the "What you'll learn" section above)
➡️ you will understand how NVivo can help you take Your data analysis to a higher level. You will have a good understanding of what can be done to enrich your data analysis and how to use NVivo for this purpose
➡️ you will impress your supervisors, teachers, employers or colleagues with the depth of the analysis you undertake
The best thing about this course is that all lessons are logically connected - the analytic ideas that emerge early in the course when we record our initial thoughts will be later tested when we learn to code and conduct various coding queries. I do not just talk about how to conduct a given query without first explaining what this query is, how it will help us, and why we may want to conduct it in the first place!
This is, in fact, what my students seem to like most about my courses - the way I explain things, the way the lessons are organised and the way I support my students throughout (I am very responsive to messages and always do my best to assist each student personally).
I hope that you will take this course and we will soon embark on this exciting analytic journey together!
⚠️ Please not that the course was recorded on the WINDOWS version, and although it is very similar to the MAC version, some may find the differences confusing
⚠️ NVivo 12 Pro was used for recording the course. In March 2020, a new NVivo update came out and the layout of NVivo changed slightly. HOWEVER, all options and functions I discuss in the course are still exactly the same