Fixed-Effects Modeling of Cohen's Weighted Kappa for Bivariate Multinomial Data: A Perspective of Generalized Inverse
Cohen's kappa and weighted kappa statistics are the conventional methods used frequently in measuring agreement for categorical responses. In this paper, through the perspective of a generalized inverse, we propose an alternative general framework of the fixed-effects modeling of Cohen's w...
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doaj-45e41de55c1a4b39ad856ac3bd488b4d2020-11-25T00:37:20ZengHindawi LimitedJournal of Probability and Statistics1687-952X1687-95382011-01-01201110.1155/2011/603856603856Fixed-Effects Modeling of Cohen's Weighted Kappa for Bivariate Multinomial Data: A Perspective of Generalized InverseJingyun Yang0Vernon M. Chinchilli1Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USADepartment of Public Health Sciences, Penn State College of Medicine, 600 Centerview Drive, Suite 2200, Hershey, PA 17033-0855, USACohen's kappa and weighted kappa statistics are the conventional methods used frequently in measuring agreement for categorical responses. In this paper, through the perspective of a generalized inverse, we propose an alternative general framework of the fixed-effects modeling of Cohen's weighted kappa, proposed by Yang and Chinchilli (2011). Properties of the proposed method are provided. Small sample performance is investigated through bootstrap simulation studies, which demonstrate good performance of the proposed method. When there are only two categories, the proposed method reduces to Cohen's kappa.http://dx.doi.org/10.1155/2011/603856 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jingyun Yang Vernon M. Chinchilli |
spellingShingle |
Jingyun Yang Vernon M. Chinchilli Fixed-Effects Modeling of Cohen's Weighted Kappa for Bivariate Multinomial Data: A Perspective of Generalized Inverse Journal of Probability and Statistics |
author_facet |
Jingyun Yang Vernon M. Chinchilli |
author_sort |
Jingyun Yang |
title |
Fixed-Effects Modeling of Cohen's Weighted Kappa for Bivariate Multinomial Data: A Perspective
of Generalized Inverse |
title_short |
Fixed-Effects Modeling of Cohen's Weighted Kappa for Bivariate Multinomial Data: A Perspective
of Generalized Inverse |
title_full |
Fixed-Effects Modeling of Cohen's Weighted Kappa for Bivariate Multinomial Data: A Perspective
of Generalized Inverse |
title_fullStr |
Fixed-Effects Modeling of Cohen's Weighted Kappa for Bivariate Multinomial Data: A Perspective
of Generalized Inverse |
title_full_unstemmed |
Fixed-Effects Modeling of Cohen's Weighted Kappa for Bivariate Multinomial Data: A Perspective
of Generalized Inverse |
title_sort |
fixed-effects modeling of cohen's weighted kappa for bivariate multinomial data: a perspective
of generalized inverse |
publisher |
Hindawi Limited |
series |
Journal of Probability and Statistics |
issn |
1687-952X 1687-9538 |
publishDate |
2011-01-01 |
description |
Cohen's kappa and weighted kappa statistics are the conventional methods used frequently in measuring agreement for categorical responses. In this paper, through the perspective of a generalized inverse, we propose an alternative general framework of the fixed-effects modeling of Cohen's weighted kappa, proposed by Yang and Chinchilli (2011). Properties of the proposed method are provided. Small sample performance is investigated through bootstrap simulation studies, which demonstrate good performance of the proposed method. When there are only two categories, the proposed method reduces to Cohen's kappa. |
url |
http://dx.doi.org/10.1155/2011/603856 |
work_keys_str_mv |
AT jingyunyang fixedeffectsmodelingofcohensweightedkappaforbivariatemultinomialdataaperspectiveofgeneralizedinverse AT vernonmchinchilli fixedeffectsmodelingofcohensweightedkappaforbivariatemultinomialdataaperspectiveofgeneralizedinverse |
_version_ |
1725301285694996480 |