Qualitative Data Analysis 101 Tutorial: 6 Analysis Methods + Examples
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- Опубликовано: 12 июн 2024
- Learn about qualitative data analysis (QDA) and the 6 most popular qualitative data analysis methods in this simple tutorial. We explain qualitative content analysis, thematic analysis, discourse analysis, narrative analysis, grounded theory and interpretative phenomenological analysis (IPA) in plain language. Learn about the purpose, strengths and weaknesses of each method and how to choose the right qualitative data analysis method for your dissertation, thesis or research project.
Qualitative Data Analysis Methods 101: Overview
00:00 Introduction
02:03 What is qualitative data?
02:46 Qualitative data vs quantitative data
03:25 Is qualitative analysis easier than quantitative analysis?
04:36 The 6 most popular qualitative data analysis methods
05:17 Qualitative content analysis (content analysis)
07:58 Narrative analysis
10:17 Discourse analysis
13:01 Thematic analysis
14:55 Grounded theory
18:04 Interpretative phenomenological analysis (IPA)
20:37 How to choose the right qualitative analysis method
22:55 Recap
For more information about qualitative data analysis and methods, visit gradcoach.com/qualitative-dat....
KEY RESOURCES:
FREE WEBINAR: Research Methodology Basics - bit.ly/3ObFMCR
ONLINE COURSE: Research Methodology Bootcamp - bit.ly/3NOV2nM
COMPANION POST: Qual Methods 101 - gradcoach.com/qualitative-dat...
1-ON-1 COACHING: Free Consultation - bit.ly/3OmgoKR
ADDITIONAL RESOURCES:
Qualitative coding - gradcoach.com/qualitative-dat...
Thematic analysis - gradcoach.com/thematic-analys...
Content analysis - gradcoach.com/qualitative-con...
Discourse analysis - gradcoach.com/discourse-analy...
Narrative analysis - gradcoach.com/narrative-analy...
Writing up qualitative results - gradcoach.com/qualitative-res...
The Grad Coach blog - gradcoach.com/blog/
If you have any questions about qualitative data analysis, leave a comment below. Also, leave a comment if you’d like to request a video about a specific analysis method.
For 1-on-1 private help with your qualitative data analysis, check out our coaching services at gradcoach.com.
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I love how clear she speaks. I am an international student and I need such as this video. Thanks Emma!!!
Glad it was helpful!
Same situation, this video is quite HELPFUL！
I watched this at 1.25x speed. You're welcome :)
me tooo ✌
Rookie speed. Try 2x
I had to go 1.5x. She talks way too slow for this type and length of video.
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Me too!
Out of all the videos I’ve watched regarding to QDA, this video was by far the most descriptive. Thank you so much for such content and how you take your time explaining. I look forward to watching more videos.
Glad it was helpful!
I'm a quantitative researcher who has found himself having to take a course in qualitative research. The level of subjectivity I associate with qualitative research makes it difficult for me to absorb a lot of the principles of qualitative methods but you've done a very good job making it digestible. Thank you.
Thanks for the feedback :)
please i need to clarify things as I am doing research. I m stuck in which method to analyze my data
@@GradCoach mm
You help a beginner like me choose the right analysis method. It's clear and informative for me. Thanks Emma!
You're welcome :)
Well this was uploaded at pretty much the perfect time! Thank You Emma and Grad Coach!!!
Really excellent delivery and presentation Emma. No one 'ad libs' a quality presentation like that. I am sure quite a few hours of rehearsal went into your presentation, and it shows- well done!
Glad you enjoyed it! Yeah, we put a lot of work into planning the content and structure of these videos :)
Can't thank you enough Emma!
Nobody could make me understand so easily.
Each single video on this channel is immensely helpful. 🙏
Glad you like them!
Very well laid out and organized, Emma spoke clearly and was easy to follow. Thank-you.
Excellent job on the video presentation; I'm so new to academic research, and this video helps me understand what to do for my methodology chapter. Thanks Emma!
This is one time in my life, I see none click, unlike button! Thank you for the great video!
FREE WEBINAR: Research Methodology Basics - bit.ly/3ObFMCR
FREE EXPLAINER: How To Write Up Qualitative Results - bit.ly/43iOm76
ONLINE COURSE: Research Methodology Bootcamp - bit.ly/3NOV2nM
1-ON-1 COACHING: Free Consultation - bit.ly/3OmgoKR
many thanks Emma, you've been my teacher of this subject. Gracias!
This video is one of my homework assignments in my doctoral program. Definitely enjoyed the video'!!!
Glad it was helpful!
I have been really struggling with thematic analysis, coding, and different data types. These videos are great
Hi, thank you so much for this useful video! But what is the difference between categories in the content analysis and themes in the thematic analysis?
I wish you taught my research subject. It's too good to miss out on these videos. Thanks a lot, EMMA!
Thank you very much. Just what I needed, and nothing more.
Thank you. Thank you. This is a very helpful guide in writing qualitative analysis. I was writing my thesis in wrong analysis method till I found this on last minutes. You are live saver...thanks
well put together and delivered. Thanks
Thank you so much for the clear explanations. It would be great if you can do part on QCA as well.
I watched this for our qualitative study, thank you so much
I love the way you presented; simple and straight forward.
Thanks!
Thank you very much for your invaluable support.
Thank you ema, what a clear speaks and simple explaination you have given to us! 👍👍👍
Emma, thanks in a million! Very well explained. This is the nth time that I am watching this again. Great content. Awesome. I couldn't find this explanation--simply put anywhere else. “Great teachers are hard to find”. Grade: A++ 💥
Thanks for the kind words :)
Your explanation is very specific, easily understandable and meaningful. Thank you for your very rich tutorials, it was very helpful for me.
Wonderful explanation by Emma!!
Emma, THANK YOU! You have been really helpful
Very helpful video. The way you explain the concepts is greaaat!
Thanks
Glad to hear that
very good way and speed of delivering the ideas. Thank you so much
I watched it and it provided me a lot of information regarding th3 QDA. THANKS
I find this videos easily understandable. Well presented. Thank you!!!
You're very welcome!
Very clear, it makes it look so easy.
Valuable information Emma. If only I knew this when I started my Masters.
It was way forward for me. Thanks
It's my first time dipping into Qualitative data analysis and I love it
Thank you ma
I thoroughly understand the use of 6 methods of qualitative analysis.
i really love how you teach, i even smile while watching
I found the information very useful, and enriching, as international PhD student. Thank you
For two to three minutes, I listened to you telling us what you will do. We in the world of speed, we need you to get to it quick
Grad Coach. Your humorous approach of presentation make me the concept clear for me. Thank you. Thank you!
You're very welcome!
You are a good coach. You really simply concepts
Great video and very deep and informative explanation. THANK YOU :)
One of my fav channel for research insights. Thanks Emma
So glad!
Thank you very much Emma i enjoyed listening and watching your video presentation. I learned so many things
Thanks Emma for the wonderful explaination.
Which method is more appropriate to do research on covid19 experience?
It's Marvellous. Thanks, Ema
I wish they had explained it like this at my university =) Many thanks!
Say that again
This was amazing!! Thank you
A quite commendable presentation
Thank you for your good explanation.
Fabulous videos, you are a life saver!
Excellent, easy to comprehend. Also entertaining, loved it!
This was really helpful thank you!
Thank you very much for the comprehensive lectures about QDA's Big Six.
Glad it was helpful!
Thank you very for this very clear discussion of the different data analysis methods.
Glad it was helpful!
good job i love how she explains it
Two reasons I watch Grad Coach videos. First for Emma 🥰 and second for quality content.
Thank you
When I read about grounded theory content analysis is often linked with it. Within grounded theory the original authors diverted somewhat and but content analysis is associated with it. So what specifically is the difference between grounded theory ( which I thought was more of an approach) and content analysis?
Such an enlightening video! Thank you!
You're welcome
I am from wolaita sodo university, Ethiopia & useful video for beginners. Excellent lecturer er & 10Q! so much for your clear explanations.
Thanks, great to hear that
Thanks Emma. It's really helpful for me, a beginner in research.
Anyway, if I want to analyse assimilation process in a song, which method should I use? I'm afraid I won't choose the right one myself :)
Excellent, many thanks!
You are welcome!
What a way to demystify QDA. Very useful for beginners. Thank you, Emma.
You're most welcome :)
clearly explain in a simple way.God bless you people for serving research community
It's my pleasure
i just like the presenter,very precise with straight clear orientation.
Thanks for the feedback
Thanks for the insightful presentation. How do we establish the interface between quantitative analysis and qualitative analysis.
Thank you!
That's great.Thank you Emma.
Glad you liked it!
Thank you Emma!! very helpful
You're so welcome!
I thoroughly enjoyed your presentation. It was invaluable. Thanks.
Glad it was helpful!
That is so helpful. Thanks, Emma!
You're so welcome!
Helped a lot, thank you!
Glad it helped!
Wow! Knowing how I will go about with analyzing my data was quite tedious but you've made it very simple and easily understandable. Thank you
Glad it was helpful!
A very descriptive video.
Very informative
What distinguishes content analysis from thematic analysis? Thank you! I love how you explained the topic.
it is indeed an insightful presentation. i would really like to learn more about data analysis
I found this video super helpful for my MBA dissertation, thank you so much !
Glad it was helpful!
Clear explanations, that's great. Thanks
You're welcome :)
Very interesting.
Brilliant way to explain the different methods. I was a little confused but no longer after watching the video. Thanks a lot and keep up the good work 💪
Glad it helped!
This provides brief description about qualitative data analysis. keep going good work
So nice of you
Hi, Emma, Thank you so much
Thanks a bunch, u r saving me each time Grad Coach !!!
Glad to hear that!
Very helpful. thank you so much.
You're very welcome!
Really helpful 👍
Your video is really useful as it helped me to have a better understanding of qualitative data analysis. I will watch it again, again and again.
Glad it was helpful!
thank you. this is the best video tutorial on data analysis
Glad it was helpful!
Thank you so much for this vedeo. i need more details concerning IPA method
Great video with detailed explanations. Thank you 😊🎉
You're welcome :)
thank i like the clear explaination hanks emma we need some video like this
Glad you liked it!
You are good at reserach approach.
thank you for this content
Thank you so very much for this video!
Most welcome
Thanks teacher.
i really love you...
very nice tutorial
thanks and meet you
Very informative! Tq Emma & Grad coach👏👏👏👍👍
Glad you enjoyed it!
Didn’t realize my liberal arts degree employed LOTS of qualitative research analysis (how many US male politicians who cheat apologize publicly, and public reaction, for example). I can also think of how we studied language as a means of shaping concepts (for example, using words such as “higher” and “lower” classes to create hierarchies of humans in society, the bootstraps myth, etc).
Finally, we spoke about mass shooters versus terrorists. Do the words evoke thoughts of specific skin colors, or ethnic or religious identities?
We also talked about bias awareness, which was a huge part of my interviews. I did surveys, transcribing, anecdotal interpretation, etc. So cool! All this as part of philosophy, religious studies, and gender studies.
i want to do something in economics but it is including major part of biological concepts that can't be quantify so finally i reached from where I had started.