Books and courses for researchers
This course is an essential resource for undergraduate, postgraduate and doctoral students, as well as anyone else undertaking a qualitative research project. Using practical examples, I take you through what should happen at various stages in the project’s schedule, starting with developing your research idea, research aims and research questions, and ending with a discussion of what to put in the Conclusions chapter.
This course is an essential resource for undergraduate, postgraduate and doctoral students, as well as anyone else undertaking a qualitative research project. Using practical examples, I take you through what should happen at various stages in the project’s schedule, starting with developing your research idea, research aims and research questions, and ending with a discussion of what to put in the Conclusions chapter.
Whether you are completely new to NVivo, or have some previous experience with it, you will find this course both useful and enjoyable.
In my newest NVivo online course, I use a practice dataset (available to you too) to take you on a data analysis journey. Learning NVIVO was never so easy and enjoyable – just click the link below and learn more!
This course is an essential resource for undergraduate, postgraduate and doctoral students, as well as anyone else undertaking a qualitative research project. Using practical examples, I take you through what should happen at various stages in the project’s schedule, starting with developing your research idea, research aims and research questions, and ending with a discussion of what to put in the Conclusions chapter.
From Zero to NVivo 12
Planning and conducting qualitative interviews
How to analyze qualitative data?
In this best-selling course, I share my NVivo expertise with you. And I don’t make empty promises – I guarantee that you will be able to use this software to conduct professional Qualitative data analysis once you complete the course!
*Please note that there are 2 versions of the course (NVivo 11 and NVivo 12)
So far it is the best online material for NVIVO learning.
It was a really good course to learn using qualitative research tools in NVivo. The curriculum covers all the necessary tests that we may need. The instructor was knowledgeable and used real world examples which was very easy to relate.
Excellent course for individuals new to NVivo! The instructor, Jarek, is very responsive to questions and comments.
This course has been pitched at such a level and pace that I have been able to see how easy and logical NVivo is to use. I am amazed at how quickly I have been able to pick it up through doing your training.
In this course, my aim is to teach you everything I know about interviews – not just the theory, like different types of interviews and interview questions, but also the very practical issues – how to develop a good interview guide, how to act during the interview, how to elicit questions, how to start and end the interview, how to transcribe the interview, what to do with the interview data, and many more…
Really clear information, well paced so it is easy to come back to each day, good personal viewpoints as well as techniques and references
Very clear and easy to follow the instructor
Too often qualitative data analysis is equated with simply coding it. As I demonstrate in this course, however, data analysis starts way before coding, and finishes way after the coding is done.
I have no prior experience in qualitative research, so I was a little bit slow and confused about the starting point to analyse my data. This course has answered all my queries on dealing with qualitative data.
Thank you Dr. Kriukow for this amazing course ! Thanks to this course, I became aware of the main concepts, stages and steps involved in the analysis of qualitative data. The course is presented in a wonderful way and concepts are clearly explained by the tutor. I have learnt a lot from this course. keep up the good work Dr. All the best
Really enjoyed the previous course by this author on NVIVO, this course is similarly clear and structured, and most importantly explained really fluidly.