Summary
Many ordinal data come from data which are originally scaled cardinal. Nevertheless in some cases they are treated with methods, which require cardinal data. For such data a rescaling is allowed and useful. In this paper a method for rescaling is presented, which is based on information from highly correlated attributes and points out the places where the ordinal data are most probabely closer together than at other places. At these places adjacent categories are grouped together into one category. This metod is illustrated in a comparison of linear regression of the rescaled values and the original measured ordinal values.
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References
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© 1997 Springer-Verlag Berlin Heidelberg
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Paul, H. (1997). Ordinal Regression. In: Klar, R., Opitz, O. (eds) Classification and Knowledge Organization. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59051-1_8
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DOI: https://doi.org/10.1007/978-3-642-59051-1_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-62981-8
Online ISBN: 978-3-642-59051-1
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