This is the best tutorial I came across till now! I landed upon this video after like searching 20-30 different sites and videos. But this video solved my problem. Thanks a lot man!!
Hello, thank you for the video it's really helpful! I followed the steps but in the end, I saw this message: Warning message: In alpha(alpha.ex, check.keys = TRUE) : Warning message: I did what R suggested and in the end, I saw this message: What should I do? Do you have any suggestions? Thank you in advance!
I see that Q10 if dropped the alpha was still .82. Would this suggest that running Factor Analysis against your data to determine if your data is truly UNIDIMESIONAL?
This is the best tutorial I came across till now! I landed upon this video after like searching 20-30 different sites and videos. But this video solved my problem. Thanks a lot man!!
Excellent. Sir, you have explained difficult things in a very simple yet brilliant way.
thank you for your kind comment
Thank you so much for this! It's really helpful and having you show what each part means makes the entire process much clearer!
thanks a lot
Great, efficient presentation! Very helpful. Thank you for your contribution.
thanks a lot for your kind words
Thank you. Easy to understand, you helped me a lot for my thesis :)
Thanks for your kind words
Bro sounds like a Russian Assassin but great video!
LOL :) Thanks a lot dear
Exaclty what I was looking for! Thank you:)
glad to hear that, thanks a lot
Corto y sustancioso... Excelente.
muchas gracias
hi anyway to get this function to show more decimal places? thank you for your help sir
Hello, thank you for the video it's really helpful! I followed the steps but in the end, I saw this message:
Warning message:
In alpha(alpha.ex, check.keys = TRUE) :
Warning message:
I did what R suggested and in the end, I saw this message:
What should I do?
Do you have any suggestions? Thank you in advance!
I see that Q10 if dropped the alpha was still .82. Would this suggest that running Factor Analysis against your data to determine if your data is truly UNIDIMESIONAL?
Thank you !
thanks a lot
Is it possible to use one single table, but count diffent collumns at a time? Ex: alpha(mydata$collumn1, mydata$collumn2) ?
Thanks a lot for your comment. I haven't tried it in. Please try it and let me know
Doesn't work that way. First, you need to specify the columns when transforming the data to matrix. I.e. mydata
So, can we show more digits with method 2 sir? i.e i want my cronbach alpha showed in more decimals