Harnessing NVivo for Qualitative and Mixed-Methods Data Analysis

This seminar, taught by leading expert professor Christina Silver, provides you with a comprehensive introduction to NVivo and how to harness its tools powerfully.

 

The phrase ‘harness NVivo powerfully’ isn’t a fancy way of saying ‘operating NVivo well’, but means learning to take full advantage of the program in every stage of a project while remaining true to the emergent spirit of qualitative research. Learning to do this effectively so that you can use NVivo for your own research is the purpose of this comprehensive 12-part seminar.

 

The seminar combines discussion, demonstration, and hands-on practice, using sample data and (optionally for you) your own research data. It follows the principles described in Woolf & Silver (2018) Qualitative Analysis using NVivo, the Five-Level QDA® method which details the process of harnessing NVivo powerfully.

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This seminar is also part of a 3-seminar series Qualitative and Mixed Methods Research Using NVivo, which allows registering for all three seminars with a 10% discount.

 

This NVivo seminar is divided into nine topics over three days, and includes the following teaching and learning activities:

 

• Contextual illustrations – methodological and analytical principles, uses of NVivo in different contexts (e.g. for literature reviewing, for analysis of empirical data collected for a specific study, for secondary analysis of qualitative materials);

• Software demonstrations – interface, architecture, components, actions and tools;

• Guided Instruction – step-by-step teaching in the operation of NVivo and the use of tools for analytic tasks;

• Group discussions and feedback - discussion to work on exercises together, explore tasks and feedback; and

• Individual work - to consolidate understandings and put learning into practice in your own contexts.

 

You will be guided through all the phases of an analysis, with an emphasis on how to accomplish them using NVivo’s tools creatively and systematically. This includes planning an analysis and creating structural frameworks to reflect initial research designs; familiarising with qualitative materials (at an in-depth interpretive level and at a higher content-based level); coding qualitative data using different analytic approaches (contrasting inductive, grounded approaches and deductive, topic or theoretically informed approaches); using software tools to capture reflections through writing, mapping and linking; organising data to factual characteristics; interrogating patterns and relationships to identify themes, make comparisons and explore anomalies; and using visualisations to communicate findings in engaging and powerful ways.