An Overview of Methods in the Analysis of Dependent ordered catagorical Data: Assumptions and Implications

Hans Högberg () and Elisabeth Svensson ()
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Hans Högberg: Centre for Research and Development, Uppsala University and Country,Council of Gävleborg, Sweden, Postal: Örebro University, Swedish Business School, SE - 701 82 ÖREBRO, Sweden
Elisabeth Svensson: Department of Business, Economics, Statistics and Informatics, Postal: Örebro University, Swedish Business School, SE - 701 82 ÖREBRO, Sweden

No 2008:7, Working Papers from Örebro University, School of Business

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.

Keywords: Dependent ordinal data; GEE; GLMM; Logit; modelling (search for similar items in EconPapers)
JEL-codes: C14 (search for similar items in EconPapers)
Pages: 31 pages
Date: 2008-08-08
New Economics Papers: this item is included in nep-dcm and nep-ecm
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