Qualitative Data Analysis 101 Tutorial: 6 Analysis Methods + Examples

[@zainabalmatar7302]

I love how clear she speaks. I am an international student and I need such as this video. Thanks Emma!!!

[@GradCoach]

Glad it was helpful!

[@马嘉骏-t4j]

Same situation, this video is quite HELPFUL！

[@smartxalex5719]

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.

[@GradCoach]

Thanks for the feedback :)

[@bachraali3711]

please i need to clarify things as I am doing research. I m stuck in which method to analyze my data

[@fwarejoyner]

@@GradCoach mm

[@londekamasinga7373]

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.

[@GradCoach]

Glad it was helpful!

[@syanda100]

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

[@kabband]

Well this was uploaded at pretty much the perfect time! Thank You Emma and Grad Coach!!!

[@aguspaulsetiawankaban404]

This is one time in my life, I see none click, unlike button! Thank you for the great video!

[@abebearka6205]

I am from wolaita sodo university, Ethiopia & useful video for beginners. Excellent lecturer er & 10Q! so much for your clear explanations.

[@GradCoach]

Thanks, great to hear that

[@henrikmanukyan3152]

This is great. I would suggest new PhD students to figure out what research method best fits to their research questions and then read the most cited papers describing those methods (kind of source papers). Finding good quality articles that used those methods could be another way to understand how it works.

[@intothewildireland5754]

My research questions are these: 1. What is the local communities understanding of environmental issues and nature-based solutions in Limerick City? 2. Are there ways to interpret or create more spaces for the local community to become actively involved with environmental issues through nature-based solutions in Limerick City? The objectives outlined below determine specifically what the researcher will examine. These include: • Create a general understanding of the attitudes of the local community towards environmental issues and nature-based solutions. • Identify the impact that environmental issues have had on the local community. • Determine how the local community want to take action to tackle environmental issues and nature-based solutions in the future. • Look at ways to encourage more innovative nature-based solutions within the local community. • Identify ways in which a Nature Interpretation Centre could enhance engagement with the local community. What would be the best qualitative and quantitative data analysis to use?

[@CBRNSPC]

Excellent video! I love the fact that you speak slower than most videos. English is my second language and with other videos, I have to usually pause or use CC but not at all with your videos! Thank you 😊

[@NASAKYCHAIRMAN]

This video is one of my homework assignments in my doctoral program. Definitely enjoyed the video'!!!

[@GradCoach]

Glad it was helpful!

[@frankiejere3994]

Thanks Emma. I would listen to you all day

[@Cuchulainn42]

Very well laid out and organized, Emma spoke clearly and was easy to follow. Thank-you.

[@DanielAnsah-zq9ve]

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

[@GradCoach]

Glad it was helpful!

[@BecksieBoo756]

This was so helpful as both an introduction and also a great summary! Thank you so much!

[@seemajaiswal7500]

Can't thank you enough Emma! Nobody could make me understand so easily. Each single video on this channel is immensely helpful. 🙏

[@GradCoach]

Glad you like them!

[@PavanVenkatPaipuri]

Thanks Emma!! For providing such a great insights about QDA methods. Really!!! Very clear to understand the topic of qualitative Analysis.

[@tausifmulla]

Two reasons I watch Grad Coach videos. First for Emma 🥰 and second for quality content.

[@GradCoach]

Thank you

[@abumoe]

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

[@NsemeBernardMesue]

This analysis has helped a beginner to be able to understand the various steps in qualitative data analysis. Getting more into it with other studies, i am sure it will go a long way for me to be able to appropriately carve out myself in method selection. thank you

[@GradCoach]

Glad it was helpful!

[@charleneroses]

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!

[@kelzangphuntsho1071]

I wish you taught my research subject. It's too good to miss out on these videos. Thanks a lot, EMMA!

[@OscarMatsiko]

i just like the presenter,very precise with straight clear orientation.

[@GradCoach]

Thanks for the feedback

[@kapcholyohighschool3788]

Thanks for the insightful presentation. How do we establish the interface between quantitative analysis and qualitative analysis.

[@campingandrelaxing]

Thank you and the content producers so much for these videos!! They are concise and effective in helping me understand research related questions.

[@strawberrycloud824]

I watched this at 1.25x speed. You're welcome :)

[@ashnas7897]

me tooo ✌

[@joehurst1453]

Rookie speed. Try 2x

[@naturaljoe759]

I had to go 1.5x. She talks way too slow for this type and length of video.

[@cecelgarnica8549]

@@joehurst1453 nnnnñnjjnnbvc n p ty upside-down

[@HASSANALI-ow4jn]

Me too!

[@DavidWilson-im6mz]

I have been really struggling with thematic analysis, coding, and different data types. These videos are great

[@Questtoknowwithdraftab]

clearly explain in a simple way.God bless you people for serving research community

[@GradCoach]

It's my pleasure

[@jessieporquedo1291]

I watched this for our qualitative study, thank you so much

[@adamaruthsesay9295]

It's my first time dipping into Qualitative data analysis and I love it Thank you ma

[@anatoleuwiragiye]

many thanks Emma, you've been my teacher of this subject. Gracias!

[@GradCoach]

You're very welcome!

[@steevensonrosema8125]

Thank you so much for this Video. You have explained everything clearly and in a very comprehensible way. Good job.

[@Genovia816]

I've been in the data science/IT industry for over 15 years and this is the first I am encountering a name for the methods which is extremely strange because I have used all of them at some point in my career as a IT professional and can give examples of each related to the work I've done. So crazy that even though you have NO theoretical method, you still are following the same methods without realizing it. Just goes to show that you must keep an open mind in everything in life if you want to find real true meaning to life or situations.

[@AkmadAndil]

I thoroughly understand the use of 6 methods of qualitative analysis.

[@MonjiGhanem]

Very helpful video. The way you explain the concepts is greaaat! Thanks

[@GradCoach]

Glad to hear that

[@3ilaty_Shalabi]

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.

[@johng5295]

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++ 💥

[@GradCoach]

Thanks for the kind words :)

[@dianajeancadelina4840]

.wow...this is a big help for everyone...

[@GradCoach]

Happy to hear that

[@kufrefrank6991]

You are a good coach. You really simply concepts

[@Yohannes68]

I watched it and it provided me a lot of information regarding th3 QDA. THANKS

[@moghira1]

This is more than excellent explanation of such difficult topic. Thanks a lot

[@GradCoach]

You are most welcome

[@fedhesatadese5801]

I love her explanation. she must be a professional in the field.

[@GradCoach]

Thanks for the feedback.

[@SuperNurti]

One of my fav channel for research insights. Thanks Emma

[@GradCoach]

So glad!

[@chalachewandargie368]

I love the way you presented; simple and straight forward.

[@GradCoach]

Thanks!

[@ivymartha4908]

i really love how you teach, i even smile while watching

[@johnboyd1946]

Awesome video. The simplification of an overly complex subject is very helpful to students.

[@GradCoach]

Glad it was helpful!

[@hermawatimanullangemma4331]

i am on the process of writing my thesis. thank you for the video

[@GradCoach]

You’re welcome ☺️

[@HK-mi9yg]

This is helping so much along with your other videos. Thank you! 🙏

[@GradCoach]

Glad it was helpful!

[@jesusgonzales5]

I love your video lectures on qualitative. I learn alot from this.

[@GradCoach]

Happy to hear that!

[@temesgenoljira427]

Grad Coach. Your humorous approach of presentation make me the concept clear for me. Thank you. Thank you!

[@GradCoach]

You're very welcome!

[@umehtoch]

This is powerful and insightful. Can you add some PRACTICAL examples of some of these methods?

[@GradCoach]

Thanks for the feedback and suggestion :)

[@luwanda03]

Thanks...I am looking for a PhD and I have to learn all these things... thank you for that simple and clear explanation.

[@GradCoach]

Glad it was helpful!

[@dr.md.imtiazuddin1627]

Clear accent, clean explanation and great presentation.......

[@GradCoach]

Thank you! 😃

[@thementalwellbeingcollege]

Thanks very much for such a clear, succinct but insightful video. This has really helped me in preparation for running my own first Qual study!

[@GradCoach]

Glad it was helpful!

[@DaudaYusufWotu]

This is vivid and educative

[@ronti2492]

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!

[@GradCoach]

Glad you enjoyed it! Yeah, we put a lot of work into planning the content and structure of these videos :)

[@dammikaadhikari4464]

This provides brief description about qualitative data analysis. keep going good work

[@GradCoach]

So nice of you

[@anastasiakolyada950]

I wish they had explained it like this at my university =) Many thanks!

[@princeteye113]

Say that again

[@albertcruz5602]

What distinguishes content analysis from thematic analysis? Thank you! I love how you explained the topic.

[@sulaimanmandoh1345]

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.

[@GradCoach]

Glad it was helpful!

[@frederikakleinert3279]

I found the information very useful, and enriching, as international PhD student. Thank you

[@pedrojayectin9662]

Thank you very much for the comprehensive lectures about QDA's Big Six.

[@GradCoach]

Glad it was helpful!

[@cure_Y_all]

Thanks for the tutorials. It was really helpful.

[@Alazzam.malek89]

Great video and very deep and informative explanation. THANK YOU :)

[@waheedakhan4734]

Valuable information Emma. If only I knew this when I started my Masters.

[@shahidhussain1775]

Your explanation is very specific, easily understandable and meaningful.

[@GradCoach]

Thank you

[@economicsadda]

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.

[@sls0970]

I’m a student nurse and just starting out on research. Just doing data analysis now and your explanation of thematic analysis has helped me so much. I’m now going to subscribe to your Channel hoping to get more hints and tips. Thank you so much

[@GradCoach]

Glad it was helpful!

[@adanemedhanit2851]

Thank you very much for your invaluable support.

[@khurramshahzad3026]

Excellent. Teaching My Dear Keep grooming❤❤❤

[@GradCoach]

Thanks a lot

[@YourExecCoach]

I found this video super helpful for my MBA dissertation, thank you so much !

[@GradCoach]

Glad it was helpful!

[@princeteye113]

Thanks for the explanation it has really boosted my confidence in writing my upcoming dissertation

[@GradCoach]

You're welcome

[@yassineelboujadaini7314]

Thank you so much for this vedeo. i need more details concerning IPA method

[@nadiramahomed1751]

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?

[@mamangiri1829]

Thanks from India..simple based explanation.

[@GradCoach]

Most welcome!

[@tewokldeedat6019]

Lovely EMMA !!!! All in all with you, from you, and within you is great.

[@GradCoach]

Thank you so much!

[@edgardobatinay]

thank you. this is the best video tutorial on data analysis

[@GradCoach]

Glad it was helpful!

[@karabomitchellemashego7428]

This was very interesting and informative.

[@ibrahimumar8702]

What an amazing presentation!

[@GradCoach]

Glad you think so!

[@tutpalluak]

Is actaully a nice and profound explaination of how to conducted a analysis at research time. I decided to take IPA for analysis of my data. I want to work with English teacher teaching at higher institution . What do you think could suite my study? The tittle sound like this: investigating the principles and the use of TBLT at Gambella University.

[@RehamElkhateeb]

wonderful would you dicuss different types of researchs with examples Plz

[@kwenaletsie5677]

Great teacher indeed.

[@GradCoach]

Thank you kindly!

[@kebbaDanteh]

it is indeed an insightful presentation. i would really like to learn more about data analysis

[@parinayamjal5768]

Wonderful explanation by Emma!!

[@SoxxMucanya]

Explain: bias as in survey research, unbiased estimators as in mathematical statistics the connection between the objectives of a research and the hypotheses/research questions. Ground research posts no hypotheses but uses data to create these hypotheses.

[@Breeze702]

Which one would one use in assessing impacts of a program ? I would go for a mixed method

[@jonnellefagsao2851]

Thank you ma'am for a clear explanation of the QDA,

[@GradCoach]

You’re most welcome

[@stressed24seven]

Some notes I made, it’s better to watch the video for a more in-depth explanation, but here are the key descriptions. 1. Content analysis - Frequency of which an idea is shared, patterns deeper interpretations. Have a specific question before going in, group into categories. - Time consuming, losing important nuances. 2. Narrative Analyzing stories, how something is being said. (students how they talk about their stories on internet.) Limitations with sample sizes, and research bias so be careful when using this method. 3. Thematic Looks at patterns, takes bodies of data according to similarities, themes that constantly pop up in data. Aims in understanding people’s experience, exploratory, research questions change. 4. Discourse Spoken debate, analyzing debate in its social context within the culture and society. 5. Grounded Theory Intention is to create new theory at the data at hand, goes into analysis with an open mind, without any bias. After analyzing the general data, you might find patterns in the data. Then you might look for a smaller data and more commonalities, as the process continues, you will develop a theory. 6. IPA Designed to help you understand the personal experiences of a subject concerning a major life event. Research bias should be taken to account, be VERY self aware or else you might muddy the research.

[@georgekennedy1886]

I thoroughly enjoyed your presentation. It was invaluable. Thanks.

[@GradCoach]

Glad it was helpful!

[@antondoublet5870]

Very clear, it makes it look so easy.

[@gnatoo6888]

Dear Emma, I've seen so many videos about various analysis used in social sciences, and your video is the most easy to track, your words are pleasant to hear. You are so charismatic, beautiful, enthusiastic and able to explain boring things in a fun way. Thanks and keep going!

[@GradCoach]

You're very welcome!

[@KC-10]

Emma, THANK YOU! You have been really helpful

[@AshaMarie-AuthenticVoice]

I ❤love these videos. So helpful. Thank you ❤❤❤

[@GradCoach]

You are so welcome!

[@adeolaakisanya9175]

What a way to demystify QDA. Very useful for beginners. Thank you, Emma.

[@GradCoach]

You're most welcome :)

[@tandrimamazumdar9181]

Very good presentation, thanks

[@leapresnedi1072]

Thank you! This video is very helpful!

[@GradCoach]

You're very welcome!

[@aliwhyteja]

I find this videos easily understandable. Well presented. Thank you!!!

[@GradCoach]

You're very welcome!

[@donjohnson5757]

Really enjoyed this instructional video. In the 1980's I was working on my MBA. Had two occasions to use this type of analysis. One for my small business to develop[ a pricing model. Thanks Don Johnson

[@GradCoach]

Thanks for the kind words, Don.

[@noobmaster-dm7tu]

Miami Vice

[@sumonroy943]

Your explanation is very specific, easily understandable and meaningful. Thank you for your very rich tutorials, it was very helpful for me.

[@abdinasirmohamed3598]

thank i like the clear explaination hanks emma we need some video like this

[@GradCoach]

Glad you liked it!

[@saintsamaritan]

? Everyone is so grateful, while I have no idea what this pertains to! Should anticipate and be integrated with a few down-to-earth basics mentions of exactly what such is useful for, the struggles, misunderstandings, what fields this applies to, etc.