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How to analyze Qualitative data

Teaching & Academics

Rating4.4
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How to analyze Qualitative data, available at $64.99, has an average rating of 4.42, with 30 lectures, based on 784 reviews, and has 3350 subscribers.

You will learn about 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 This course is ideal for individuals who are Students preparing for their dissertation/doctoral research or Researchers/Academics wishing to develop their analytic skills or Companies wishing to improve their organizational performance It is particularly useful for Students preparing for their dissertation/doctoral research or Researchers/Academics wishing to develop their analytic skills or Companies wishing to improve their organizational performance.

Enroll now: How to analyze Qualitative data

Summary

Title: How to analyze Qualitative data

Price: $64.99

Average Rating: 4.42

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: £22.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • Students preparing for their dissertation/doctoral research
  • Researchers/Academics wishing to develop their analytic skills
  • Companies wishing to improve their organizational performance

Target Audiences

  • Students preparing for their dissertation/doctoral research
  • Researchers/Academics wishing to develop their analytic skills
  • Companies wishing to improve their organizational performance

“I love the presenter’s obvious passion for the subject. He talks about real issues which I too have encountered. I find this both affirming and reassuring. Thank you.”

⭐⭐⭐⭐⭐

“Jarek, Thank you for your course- it helped tremendously in conceptually griping the qualitative approach in applying it to my research project.”

⭐⭐⭐⭐⭐

“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”

⭐⭐⭐⭐⭐

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 analyzing qualitative data and my personal aim, apart from equipping you with the knowledge required to analyse your data, is to help you understand how enjoyable a process it can 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)

Course Curriculum

Chapter 1: Prior to data collection (Introduction)

Lecture 1: The aims and structure of the course

Lecture 2: What is qualitative data analysis all about?

Lecture 3: The structure of qualitative data analysis

Lecture 4: Planning the research design "for" the data analysis

Lecture 5: Should you consider philosophical assumptions?

Chapter 2: Familiarizing yourself with the data

Lecture 1: Organising your data set

Lecture 2: The initial reading of your data

Lecture 3: Making a note of your initial observations

Lecture 4: Creating provisional models

Lecture 5: Making a note of your assumptions

Lecture 6: Assumptions: Exercise

Chapter 3: Coding

Lecture 1: Coding: Introduction

Lecture 2: Line-by-line coding

Lecture 3: Coding "chunks"

Lecture 4: What happens next with the codes?

Lecture 5: How and when to code?

Lecture 6: Writing about the codes

Lecture 7: Coding: Exercise

Chapter 4: Further analysis

Lecture 1: Further analysis: Introduction

Lecture 2: Theorizing concepts

Lecture 3: Within- and Cross-case analysis: Introduction

Lecture 4: Within-case analysis: Writing about your cases

Lecture 5: Within-case analysis: What to analyse?

Lecture 6: Cross-case analysis

Lecture 7: What else to analyse and how?

Chapter 5: Conclusions

Lecture 1: Bonus content – a common mistake when developing a thematic framework

Lecture 2: What happens next?

Lecture 3: Course conclusion

Chapter 6: BONUS section

Lecture 1: Bonus lecture – using qualitative data analysis software

Lecture 2: Bonus lecture – discounts for my other courses

Instructors

Rating Distribution

  • 1 stars: 10 votes
  • 2 stars: 18 votes
  • 3 stars: 77 votes
  • 4 stars: 256 votes
  • 5 stars: 423 votes

Frequently Asked Questions


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