Modelling Generalized Linear (Loglinear) Models for Raters Agreement Measure

With Complete and Missing Values Cases

by Adebowale Olusola Adejumo (Author)
©2006 Thesis 256 Pages


Raters have become an important source of measuring errors in recent time researches in nearly all the fields of human endeavour. Kappa-like statistics have been used to great advantages in almost every area of life and social sciences. However, these Kappa-like statistics have some shortcomings. In the book, some selected loglinear models are considered for raters agreement using generalized linear models (GLMs) approaches for complete and missing ratings. We observed that modelling the structure of agreement with some selected loglinear models is more appropriate for raters agreement than any of the Kappa-like statistics. Two methods (Likelihood and Data-based approaches) proposed for estimation of parameter for missing ratings in this book can also be viewed as means of multiple imputations.


ISBN (Softcover)
Negative Binominal Urteilerübereinstimmung Fehlende Daten Kappa-Like Statistic Missing Value Modelling
Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2005. 246 pp., num tab. and graf.

Biographical notes

Adebowale Olusola Adejumo (Author)

The Author: Adebowale Olusola Adejumo was born in Igboora, Oyo State (Nigeria). He gained his OND in 1990 at The Polytechnic, Ibadan (Nigeria); both B. Sc. in 1995 and M. Sc. in 1998 at the University of Ilorin (Nigeria) and Ph. D. (Dr. rer. nat.) in 2005 at the University of München, all in Statistics. From 1999 to 2003 the author has been an Assistant Lecturer and since 2003 he has been a Lecturer II in the Department of Statistics at the University of Ilorin in Nigeria.


Title: Modelling Generalized Linear (Loglinear) Models for Raters Agreement Measure