Abstract
A technique for exploring repeated measures of ordinal responses is developed. This technique uses an aural rather than a visual representation. It is shown that the resulting sound encoding system is well-suited to data of this type. The technique has been implemented in Apple Computer’s HyperCard, and examples of its use are given.
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References
Cleveland, W.S. and McGill, R. (1984). Graphical perception: Theory, Experimentation, and Application to the Development of Graphical Methods. Journal of American Statistical Association 79, 531–554.
Coughran, W M., Jr. and Grosse, E. (1991). Seeing and hearing dynamic loess surfaces. In Interface’ 91 Proceedings, Springer-Verlag.
Hand, D.J. (1991). Workshop data sets. In Workshop on Design of Longitudinal Studies and Analysis of Repeated Measures Data (ed. S.R. Wilson) Proceedings of the Centre for Mathematics and Its Applications, Australian National University, Volume 28, 65-76.
Smith, S., Bergeron, R.D. and Grinstein, G.G. (1990). Stereophonic and surface sound generation for exploratory data analysis. In CHI’90 Proceedings, 125-132.
Wilson, S.R. (1982). Sound and exploratory data analysis. In Compstat 1982 Part 1: Proceedings in Computational Statistics (Ed. H. Caussinus, P. Ettinger and R. Tomassone) Physica Verlag: Wien, 447–450.
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© 1992 Springer-Verlag Berlin Heidelberg
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Wilson, S.R. (1992). Exploratory Analysis of Ordinal Repeated Measures. In: Dodge, Y., Whittaker, J. (eds) Computational Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-26811-7_8
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DOI: https://doi.org/10.1007/978-3-662-26811-7_8
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-662-26813-1
Online ISBN: 978-3-662-26811-7
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