The Slide at 0:53 is somewhat misleading, since Intra-class correlation is only for nested Data, were you have classes or groups. Otherwise, Krippendorffs Alpha is suited.
Hi, Can I use Fleiss Kappa in my case i.e. 2 Operators (Raters) run 3 types of samples (Strong positive, Low Positive & Negative) 10 Replicates of Each? Since you're only talking about Raters Not parameters/Variables. Previously I conducted similar Validation study with 2 Operators (Raters) and 2 Parameters (Positive and Negative), I used Cohen's Kappa which is quite Simple but this type I'm using 3 Parameters/Variables that's why I'm not sure which Calculator should I use. PLEASE HELP
If we use the Fleiss Kappa to measure something more than twice with the same rater, do we need to ensure that the patient's condition remains constant as a prerequisite?
Brilliant explanation. Simple and precise. This is how things should be taught in universities.
I love your accent. It is really easy to understand what you're talking about! Wonderful video!
Thank you! 😃
The Slide at 0:53 is somewhat misleading, since Intra-class correlation is only for nested Data, were you have classes or groups. Otherwise, Krippendorffs Alpha is suited.
This is clearly and expertly explained!
What if you have 3 outcomes yes, no, maybe and 3 raters? ,
Is this only for binary outcomes ??
"Don't worry it look more complicate than it is xD"
: )
Hi, Can I use Fleiss Kappa in my case i.e. 2 Operators (Raters) run 3 types of samples (Strong positive, Low Positive & Negative) 10 Replicates of Each? Since you're only talking about Raters Not parameters/Variables.
Previously I conducted similar Validation study with 2 Operators (Raters) and 2 Parameters (Positive and Negative), I used Cohen's Kappa which is quite Simple but this type I'm using 3 Parameters/Variables that's why I'm not sure which Calculator should I use. PLEASE HELP
Is this only for binary outcomes ?
If we use the Fleiss Kappa to measure something more than twice with the same rater, do we need to ensure that the patient's condition remains constant as a prerequisite?
thank you~!!!
You're welcome!!
Very useful.
Glad you think so!
Well explained.
very good
Glad it was helpful and many thanks for the Feedback! Regards Hannah
❤❤❤❤ Thanks
final result is 0.2 ? how u get 0.19
Could it be from the round? Regards, Mathias