Summary
In correspondence analysis rows and columns of a nonnegative data matrix are depicted as points in a, usually, two dimensional plot. It is well known that the correspondence analysis solution is closely related to a biplot. In this paper we will use this close relationship to introduce simple structure rotation in correspondence analysis. By means of an application to cross-citation data we will show that, similar to the situation in principal component and factor analysis, rotation can be an important tool in improving the interpretability of the original correspondence analysis solution.
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Michel van de Velden and Henk A.L.Kiers
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van de Velden, M., Kiers, H.A.L. (2003). An application of rotation in correspondence analysis. In: Yanai, H., Okada, A., Shigemasu, K., Kano, Y., Meulman, J.J. (eds) New Developments in Psychometrics. Springer, Tokyo. https://doi.org/10.1007/978-4-431-66996-8_53
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DOI: https://doi.org/10.1007/978-4-431-66996-8_53
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-66998-2
Online ISBN: 978-4-431-66996-8
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