How to analyse Qualitative data
4.1 (178 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
636 students enrolled

How to analyse Qualitative data

Guidelines from a research professional
4.1 (178 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
636 students enrolled
Last updated 4/2020
English
Current price: $16.99 Original price: $24.99 Discount: 32% off
5 hours left at this price!
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This course includes
  • 3.5 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Analyse qualitative data!
  • Choose between different approaches to coding, and code the data
  • Understand the role of previous assumptions in the process of data analysis
  • Make models, graphs and notes to reflect on your assumptions
  • Make models, graphs and notes to push the data analysis forward
  • Understand the structure of qualitative data analysis
  • Apply a number of analytic steps to conduct within-case and cross-case analysis
  • Work towards developing a unified theory that links the data
  • Understand the purpose of coding, when coding starts and when it stops
Requirements
  • No previous knowledge of qualitative data analysis is required
  • No data analysis software is required
Description

"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"

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In this course, I will teach you how to analyse qualitative data. Too often qualitative data analysis is equated with simply coding it. As I will show you in this course, however, data analysis starts way before coding, and finishes way after the coding is done.

I love analysing qualitative data and my personal aim of this course, apart from equipping you with the knowledge required to analyse your data, is to help you understand how enjoyable a process it may be. I also want you to realize that this is not like science - this is a flexible, dynamic and subjective process, and how you analyse your data will depend, above all, on your own decisions and interpretations, your aims and your research questions.

Please watch the video and scroll down to the course curriculum to learn more about the course content, and feel free to ask me questions if you are not sure whether this course is for you.

Otherwise, see you in the course! :)

Dr K (Jarek)

Who this course is for:
  • Students preparing for their dissertation/doctoral research
  • Researchers/Academics wishing to develop their analytic skills
  • Companies wishing to improve their organizational performance
Course content
Expand all 29 lectures 03:17:13
+ Prior to data collection (Introduction)
5 lectures 31:27
What is qualitative data analysis all about?
06:55
The structure of qualitative data analysis
05:38
Planning research design "for" the data analysis
09:37
Should you consider philosophical assumptions?
04:48
+ Familiarizing yourself with the data
6 lectures 27:42
Organising your data set
03:54
Initial reading of your data
02:26
Making a note of your initial observations
04:30
Creating provisional models
04:25
Making a note of your assumptions
10:01
Assumptions: Exercise
02:26
+ Coding
7 lectures 01:02:56
Coding: Introduction
04:30
Coding "chunks"
07:51
What happens next with the codes?
08:24
How and when to code?
08:50
Writing about the codes
03:53
Coding: Exercise
02:26
+ Further analysis
7 lectures 01:04:39
Further analysis: Introduction
06:52
Within- and cross-case analysis: Introduction
05:46
Within-case analysis: Writing about your cases
04:42
Within-case analysis: What to analyse?
28:44
Cross-case analysis
07:27
What else to analyse and how?
05:26
+ Conclusions
2 lectures 04:50
What happens next?
03:21
Course conclusion
01:29
+ BONUS section
2 lectures 05:39
Bonus lecture - using qualitative data analysis software
05:23
Bonus lecture - discounts for my other courses
00:16