Need to understand how to analyse and write up qualitative data?

This is a collection of individual courses that will help you get to grips with the process of analysing and writing-up qualitative analysis. Watch courses in the specific areas you need, or the entire set of courses in sequence – the idea is that you can create your own learning programme from the collection. The self-paced nature of the courses means that you can learn when and where you need. 

Individual courses cover the qualitative data analysis process from start to finish – from data preparation (transcription) through to the basics of coding and then writing it all up. The analysis process outlined is a generic one, so if you’d like to get more specific for your own project, there’s a quick overview (with reading list) of the main qualitative data analysis approaches such as thematic analysis, narrative and grounded theory. 

There are also courses on how to take your analysis a step further by developing themes and models, and a quick qualitative tips session to help you work more efficiently. We won’t be covering NVivo in this collection of courses (you might like to purchase NVivo Foundations to learn these skills) but we do have a course on using Microsoft Office for qualitative analysis and have included a session on the basics of Excel in case you need to learn these.

What you'll receive

  • Video training

    Approximately 8.5 hours of self-paced, recorded video lessons covering the basic qualitative analysis and writing

  • Downloadable files

    Downloadable exercise files so you can practice your learning and follow along with the videos + PDFs of training manuals, slides and reading lists

  • Ability to ask questions

    Ask questions while you're watching the videos and we'll reply as soon as possible (usually within 24 hours)

Includes the following courses

  • Qualitative Analysis for Beginners

  • Qualitative Writing for Beginners

  • Transcription Tips and Tricks

  • Qualitative Analysis with Microsoft Office

  • Developing Themes

  • Qualitative Data Analysis Approaches: A Quick Tour

  • Developing Qualitative Models and Diagrams

  • Excel Basics

  • Tips for Qualitative Analysis

What researchers say about our courses

The format of the videos was good – they were presented in small chunks with titles which made the watching easier. I found Lyn's talk very easy to follow and with the right tone and pace, very easy to listen to. I had attended few of her trainings beforehand which were also covered as part of Research Accelerator and I still watched them. This of course means I really liked the way Lyn facilitated the sessions and it was really good to refresh my knowledge. I would recommend Research Accelerator for anyone – experienced or not experienced.

Albert Kuruvila, Lecturer, University of Waikato

Great coverage of material, well packaged and structured pieces of training, very well presented. The presenter was across all types of research and an experienced researcher who talked effortlessly to many points. The style [of the videos] was comfortable – a clear speaker with an easy tone. There were very few ums, ahs and mis-cues, which greatly added to the ease of listening. I thought it reflected the experience of the presenter and her desire to provide a well finished product – which it was.

Lily Engelbrecht, PhD Candidate, Victoria University of Wellington

This was a great opportunity. It has been the ability to go back over the information (especially in those areas that were especially relevant, or where I found it tricky) that has been exceptionally useful to me. As I am more at the start of my PhD journey, I am feeling so much more confident about the use of NVivo as well as a better understanding of some of the qual and quant approaches.

Joanne van Wyk, PhD Candidate, Massey University

Research Accelerator provides an excellent introduction to NVivo for novices and is a great opportunity for others to refresh and upgrade their NVivo skill set. The videos were great and I am glad they were split into smaller chunks. Lyn is very organized and extremely knowledgeable about NVivo. She has a knack for simplifying complex features into simple bites with handy manuals for reference.

Sashi Athota, PhD Candidate, Victoria University of Wellington

About your facilitator

Lyn Lavery has taught research methods and data analysis in New Zealand universities for over 20 years. She is an NVivo Platinum Certified Trainer and has previously trained for SPSS NZ, so is confident working across quantitative, qualitative and mixed methods projects. Lyn's PhD from the University of Auckland is in educational psychology, specifically self-regulated learning. Her love of teaching and education, alongside her flexible teaching style and engaging sense of humour, contribute to her outstanding reputation as a training facilitator.  

Pricing

Buy now for immediate access – pricing is in New Zealand dollars and is GST inclusive