Homogeneity of kappa statistics in multiple samples.
The measurement of intra-observer agreement when the data are categorical has been the subject of several investigators since Cohen first proposed the kappa (kappa) as a chance-corrected coefficient of agreement for nominal scales. Subsequent procedures have been developed to assess the agreement of several raters using a dichotomous classification scheme, assess majority agreement among several raters using a polytomous classification scheme, and the use of kappa as an indicator of the quality of a measurement. Further developments include inference procedures for testing the homogeneity of k>/=2 independent kappa statistics. An executable FORTRAN code for testing the homogeneity of kappa statistics (kappa(h)) across multiple sites or studies is given. The FORTRAN program listing and/or executable programs are available from the author on request.
Reed
J F
JF
Department of Community Health and Health Studies, MESH Initiative, 17th and Chew Streets, Post Office Box 7017, Allentown, PA 18105-7017, USA. JFREEDIII@cs.com
D000704:Analysis of Variance; D016893:Carotid Stenosis / Q000000981:diagnostic imaging; D003627:Data Interpretation, Statistical; D006801:Humans; D016013:Likelihood Functions; D015337:Multicenter Studies as Topic; D015588:Observer Variation; D011381:Programming Languages; D011859:Radiography; D015203:Reproducibility of Results; D012984:Software; D014463:Ultrasonography