Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/244442 
Year of Publication: 
2008
Series/Report no.: 
Working Paper No. 7/2008
Publisher: 
Örebro University School of Business, Örebro
Abstract: 
Subjective assessments of pain, quality of life, ability etc. measured by rating scales and questionnaires are common in clinical research. The resulting responses are categorical with an ordered structure and the statistical methods must take account of this type of data structure. In this paper we give an overview of methods for analysis of dependent ordered categorical data and a comparison of standard models and measures with nonparametric augmented rank measures proposed by Svensson. We focus on assumptions and issues behind model specifications and data as well as implications of the methods. First we summarise some fundamental models for categorical data and two main approaches for repeated ordinal data; marginal and cluster-specific models. We then describe models and measures for application in agreement studies and finally give a summary of the approach of Svensson. The paper concludes with a summary of important aspects.
Subjects: 
Dependent ordinal data
GEE
GLMM
Logit
modelling
JEL: 
C14
Document Type: 
Working Paper

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