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Original Paper
Parametric and Nonparametric Analyses of Repeated Ordinal Categorical Data
Article first published online: 5 AUG 2004
DOI: 10.1002/bimj.200310045
Copyright © 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
1521-4036/asset/cover.gif?v=1&s=44244e92ebd601b98ef501afeb3e1ab7a016a4c3 "Biometrical Journal")
Additional Information
How to Cite
Singer, J. M., Poleto, F. Z. and Rosa, P. (2004), Parametric and Nonparametric Analyses of Repeated Ordinal Categorical Data. Biometrical Journal, 46: 460–473. doi: 10.1002/bimj.200310045
Publication History
- Issue published online: 5 AUG 2004
- Article first published online: 5 AUG 2004
- Manuscript Accepted: 10 JUN 2004
- Manuscript Revised: 9 JUN 2004
- Manuscript Received: 24 MAR 2003
- Abstract
- References
- Cited By
Keywords:
- Nonparametric methods;
- Ordinal categorical data;
- Repeated measures;
- Scores
Abstract
We compare two models for the analysis of repeated ordinal categorical data: the classical parametric model for means of scores assigned to the categories of the response variable and a nonparametric model based on relative effects derived from the marginal distribution functions of the response. An example in the field of Dentistry is used to illustrate and to compare the models. We also consider a simulation study to evaluate the type-I error rates and the power of tests under both models in a balanced design setup. The simulation results suggest that both approaches behave similarly for equally spaced scores but may perform differently otherwise. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)