Calculating Reliability Coefficient for 34 Client Scores: Expert Help Needed!

[cleo1]

Hi!

I am having a terrible time trying to calculate reliability (I guess this would be inter-rater reliability?) for a project. I have been working on it for days trying to use all the various formulas I find and I'm just at a loss.

All I'm trying to do is come up with a reliability coefficient for the 34 client scores below. As I understand it, the reliability should be pretty close to the average (which for the scores below is 83). But I keep coming up with weird numbers like 20. Any help at all would be greatly appreciated!

Client Score
A 83
B 80
C 80
D 83
E 86
F 80
G 85
H 79
I 80
J 89
K 87
L 90
M 86
N 74
O 86
P 80
Q 73
R 81
S 92
T 87
U 85
V 89
W 84
X 81
Y 78
Z 86
AA 79
BB 86
CC 84
DD 79
EE 81
FF 90
GG 85
HH 89

 

[jvicens]

Hi there,

First of all, don't worry - calculating reliability can be a bit tricky, but with some guidance, you'll be able to figure it out!

Based on the information provided, it sounds like you are indeed trying to calculate inter-rater reliability. This type of reliability measures the consistency or agreement between two or more raters who are evaluating the same subjects or items. In your case, the raters are the clients and the items being evaluated are their scores.

To calculate inter-rater reliability, you will need to use a statistical measure called the Intraclass Correlation Coefficient (ICC). This coefficient ranges from 0 to 1, with higher values indicating greater reliability. A value close to 1 would mean that there is a high level of agreement between the raters, while a value close to 0 would indicate low agreement.

To calculate the ICC, you will need to use a statistical software or program. Some commonly used programs for this purpose include SPSS, SAS, and R. If you do not have access to these programs, you can also use online calculators such as the one provided by Psychometrica (https://www.psychometrica.de/icc.html).

To use the online calculator, you will need to input your data in a specific format. In your case, you will need to enter the client scores as "raters" and the client names as "subjects". Once you have entered all the data, click on the "Calculate" button to obtain your ICC value.

Now, as for the weird numbers you mentioned, it is possible that you may have been using the wrong formula or method to calculate reliability. That's why it's important to use a reliable and valid measure such as the ICC.

I hope this helps and good luck with your project!