What is Cronbach's Alpha? - Explained Simply (Part 3)

[@hanslofgren8199]

Thanks man, you are skilled, pedagogic, interesting and easy to listen to.

[@edmundbuzon3392]

Hans Löfgren Agree. The only problem is that he is kind of a d*ck for cutting the videos. (quoting this from one of the comments) But yeah, he can improve by not cutting them. Currently, he is too worried about getting more view counts which is kinda funny. xD

[@vikramgarcha9031]

Dear sir, Your videos are simply the best. Very clear , to the point self explanatory and easy to understand and comprehend..

[@JohnJoseph26]

By far the most helpful explanation of Cronbach's Alpha! Well Done how2stats!

[@LorCorVin]

Awesome explaination, you helped not only to understand it in a glimpse but even provided the awesome not on the meaning of the cut off criterium acording to Nunnally which helped me a lot :)

[@tenochtitilian]

Does a great presentation on Cronbach's alpha. Concludes by telling you it's superseded by Omega.

[@TheKaradashian]

Thank you! This is awesome. If I watch this another 1000 times I'll understand! These things take me so long to learn but this video was so much more helpful than my stupid textbook!

[@paulkerruems]

Thank you - I thought you explained this beautifully for me, a non-statistician, but involved in psychometric assessments; thanks again.

[@dr.anubhutinigam5467]

Thank you. This was the best video I have come across so far.

[@thelateknights]

This was fantastic. Thanks so much! This is hands down the best video on Cronbach's Alpha.

[@Isuppose12]

Love all your stat videos💝 Thanks!

[@CheeseColeslaw]

Excellent video. Very clearly and concisely explained.

[@TheBizz1913]

Thank you so much. I really needed this in my life. I can not believe I understood everything you actually said.

[@zuzana2703]

This is really great ! Thank you - you have a very good explanation and presentation skills ! Looking forward for more of your videos :)

[@ScotchTapeification]

Best explanation I have gotten on the topic

[@FaisalKhan-jg6kg]

thanks for the series. clear and simple.

[@fabiomoreira8923]

Thank you so much! Very helpful!

[@subasanakashyap7007]

Thanks for the informative video. Respect.

[@zihanjj]

Thank ... one of the best explanations I have seen...

[@how2stats]

Thanks!

[@kingmramra]

Thank you very much Sir. I have learned a lot from you.

[@eguirald]

Thank you for your highly instructive videos! I have enjoyed them greatly. I reckon that a very high alpha coefficient may not actually be an auspicious thing since it may stem from a redundancy in the items, in the sense that some of them are assessing the same question.

[@adriftinsleepwakefulness7039]

But what is internal consistency in the first place? Why do we need it? And how Cronbach solve it? What is the difference with others? Could you please get more into where it came from rather than how to use it?

[@syedatabassumfareed5499]

Thank you so much, it was a great help!! Once again thank you for sharing... Can you please tell me how to write the interpretation and thesis?

[@mericguzelant]

Thanks mate, you've been very helpful!

[@kaylawilson805]

This was great! Saved me so much time

[@CEDESSMX]

very helpful! thank you

[@corepune]

Thanks so much! It has been helpful.

[@Maldmorfs04]

thanks. Im still confused but now at elast I know what is it about.

[@1standlasttogo]

thanks a ton. from Egypt

[@teabsamrith5351]

Hi, i would like to ask you some question. What is we found in cronbach's alpha if items deleted is N/A. What should we do and is it right to have this thing appear.Thanks a lots

[@couragee1]

thank you!

[@dr.anasababneh284]

very useful, Thank you

[@Leon-zx2cc]

Streiner pointed out that a value of alpha above. 90 may be too high and indicate redundancy in the items. Im confused.

[@how2stats]

That would be a possibility, if you had only a small number of items (say, 8 or less). However, I've seen scales with 30 or more items with reliability of .90 and the items are definitely not redundant.

[@zulffiquer732]

Thanks

[@haisni]

Thank you so so much!!! :) :)

[@zhehabeshascience3066]

good

[@zulffiquer732]

Thanks