|
Activity Number:
|
24
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Sunday, July 29, 2007 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Biometrics Section
|
| Abstract - #308922 |
|
Title:
|
Comparison of ICC and CCC for Assessing Agreement for Data Without and with Replications
|
|
Author(s):
|
Chia-Cheng Chen*+
|
|
Companies:
|
North Carolina State University
|
|
Address:
|
2320 Apt 308, Raleigh, NC, 27606,
|
|
Keywords:
|
Accuracy ; Precision ; Agreement ; Reliability ; Intraclass Correlation Coefficient ; Concordance Correlation Coefficient
|
|
Abstract:
|
ICC has been traditionally used for assessing reliability between multiple observers for data with or without replications. Definitions of different ICCs depend on the assumptions of ANOVA models. The parameter estimator for the ICC is based on the method of moment with the underlying assumed ANOVA model. However, often times the ANOVA assumptions are not met in practice and researchers may compute these estimates without verifying the assumptions. It is not clear what these estimators are estimating if the ANOVA assumptions are not met. We compute the expected value of the ICC estimator under a very general model to get a sense of the population parameter that the ICC estimator provides. We compare this expected value to another popular agreement index, CCC. The main findings are reported for data without and with replications for three versions of ICCs.
|
