I would like to understand if the below data is suitable to implement IntraClass Correlation (ICC) or Single_random_raters or Single_fixed_raters. I have executed the below program in R generated different types of above mentioned output results. I am unable to decide which is the best suitable result for the data below. Please can someone expain?
GP_Id Pat_Id Total_prescribed_prescriptions
1 a 1
1 b 2
1 c 4
1 d 1
1 e 2
2 f 7
2 g 2
2 h 1
2 i 7
3 j 8
3 k 9
3 l 4
3 m 6
3 n 4
Program1
library(psych)
ICC(R_COM)
output1
Intraclass correlation coefficients
type ICC F df1 df2 p lower bound upper bound
Single_raters_absolute ICC1 -0.60834 0.24 4762 4763 1.00 -0.6231 -0.5931
Single_random_raters ICC2 0.00065 1.01 4762 4762 0.43 -0.0051 0.0067
Single_fixed_raters ICC3 0.00269 1.01 4762 4762 0.43 -0.0211 0.0265
Average_raters_absolute ICC1k -3.10647 0.24 4762 4763 1.00 -3.3070 -2.9153
Average_random_raters ICC2k 0.00130 1.01 4762 4762 0.43 -0.0103 0.0132
Average_fixed_raters ICC3k 0.00537 1.01 4762 4762 0.43 -0.0432 0.0517
Program2
library(psych)
ICC(R_COM)
Output 2
Single Score Intraclass Correlation
Model: twoway
Type : agreement
Subjects = 4763
Raters = 2
ICC(A,1) = 0.000654
F-Test, H0: r0 = 0 ; H1: r0 > 0
F(4762,4447) = 1.01 , p = 0.428
95%-Confidence Interval for ICC Population Values:
-0.006 < ICC < 0.008