Reliability for Multiple Reviewers by using Loglinear Models.
- Author:
Byung Joo PARK
1
;
Sung Im LEE
;
Young Jo LEE
;
Dong Hyun KIM
;
Ho Jang KWON
;
Jong Myon BAE
;
Myung Hee SHIN
;
Mi Na HA
;
Sang Whan HAN
Author Information
1. Department of Preventive Medicine, Seoul National University, Korea.
- Publication Type:Original Article
- Keywords:
reliability;
multiple reviewers;
kappa;
loglinear model
- MeSH:
Statistics as Topic
- From:Korean Journal of Preventive Medicine
1997;30(4):719-728
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
To guarantee the inter-reviewer reliability is very important in evaluating the quality of large number of clinical research papers by multiple reviewers. We cannot find reports on statistical methods for evaluating reliability for multiple raters in clinical research field. The purpose of this paper is to introduce the statistical methods focused on kappa statistic and five kinds of loglinear models for, which can be applied when evaluating the reliability of multiple raters. We have applied these methods to the result of a project, in which seven reviewers have evaluated the quality of 33 papers with regard to four aspects of paper contents including study hypothesis, study design, study population, study method, data analysis and interpretation. Among the five loglinear models including Symmetry model, Conditional symmetry model, Quasi-symmetry model, Independence model, and Quasi-independence model, Quasi-symmetry model shows the best model of fitting. And the level of reliability among seven reviewers revealed to be acceptable as meaningful.
