Technically this should not be called inter-rater reliability as you are presenting only inter-rater agreement (absolute consensus) as opposed to inter-rater consistency (moving in the same direction or maintenance of rank-order across judges). Further, if doing % agreement it would be beneficial to correct for chance using Cohen's kappa or in the case where your data is continuous (as it appears to be here) then it might also be simpler to just calculate a correlation between the two raters.
Yes - both good suggestions. I suppose I have simply followed the model I was taught and read most in education. But these are good options. Thank you.
It depends, and I do not believe there are set guidelines, but I like to get 80-95%. Remember, you can always go back and discuss with your rating partner.
What if I have more than 2 raters? should I give a 1, if everyone rate the question with the same number? Is this the same procedure for a nominal scale? what is that (pearson, spearman correlation or none of those??)
+Madeline Espunkt Good question. There are different ways. You could require all three to agree to get a 1 but that seems a bit strict. You could calculate and present IRR for each pair. Same procedure for any scale.
+Robin Kay thanks for you quick reply :)! I´ve plan to run a test manual with my fellow students, so I have about 20 Raters for one object. There are 30 points to reach and they see a video of the test subject and they´ve gonna rate it.. but I´m not sure how to calculate it.. :/
This is not how we calculate Inter Rater Reliability on a scale of 10. There are much higher chances of not agreement on scale of 10, there must be some normalization
+Dr. Yousuf Moosa I think the same procedure would apply - Rater 2 would simply be the scores for the same person on a second occasion. The caluclations would be the same.
Technically this should not be called inter-rater reliability as you are presenting only inter-rater agreement (absolute consensus) as opposed to inter-rater consistency (moving in the same direction or maintenance of rank-order across judges). Further, if doing % agreement it would be beneficial to correct for chance using Cohen's kappa or in the case where your data is continuous (as it appears to be here) then it might also be simpler to just calculate a correlation between the two raters.
Yes - both good suggestions. I suppose I have simply followed the model I was taught and read most in education. But these are good options. Thank you.
Thanks for making it so easy, but can you explain rwg(j) or rwg that is done for team level variables..
What would you recommend for when you have 10 coders and each variable has 4-7 values (nominal)?
Thank you for uploading it!
thank you.
Could you share a video on how to calculate inter rater reliability by using SPSS application?
Excuse me sir, I would like ask about how high should the result be to be considered reliable? Is it above 80%?
It depends, and I do not believe there are set guidelines, but I like to get 80-95%. Remember, you can always go back and discuss with your rating partner.
thank youuu
Thank you. What is the used formula please?
Thank you 😊
You are very welcome
What if I have more than 2 raters? should I give a 1, if everyone rate the question with the same number? Is this the same procedure for a nominal scale? what is that (pearson, spearman correlation or none of those??)
+Madeline Espunkt Good question. There are different ways. You could require all three to agree to get a 1 but that seems a bit strict. You could calculate and present IRR for each pair. Same procedure for any scale.
+Robin Kay thanks for you quick reply :)! I´ve plan to run a test manual with my fellow students, so I have about 20 Raters for one object. There are 30 points to reach and they see a video of the test subject and they´ve gonna rate it.. but I´m not sure how to calculate it.. :/
Sir please tell for likert scale interrater is used or not?
And for checklist test retest can be used?
Or its vice versa?
Please its urgent
how if all the scores is not match?
This is not how we calculate Inter Rater Reliability on a scale of 10. There are much higher chances of not agreement on scale of 10, there must be some normalization
Plz I need the reference that explains this procedure.
Thank you
Well there are a number of references - here is one quick one: www.statisticshowto.com/inter-rater-reliability/
please show us how to calculate intra examiner reliability
+Dr. Yousuf Moosa I think the same procedure would apply - Rater 2 would simply be the scores for the same person on a second occasion. The caluclations would be the same.
Thank you
Hi Robin. Great video! Is this Cohen's Kappa unweighted? Lindsy
+Lindsy Richardson No - This is a simple percent formula. No fancy name. Basically - number of agrees over the total number of answers