Abstract
Monitoring service processes, when data are measured on an ordinal scale and recorded in tabular form, is considered. The paper addresses the following signals: changes in location, changes in the response profiles and changes in association. Multiple Correspondence Analysis (MCA) is used to visualise the nature of process changes and it provides a means of isolating possible causes of variation.
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© 2001 Springer-Verlag Berlin Heidelberg
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Sparks, R.S. (2001). Monitoring Processes with Data Available in Tabular Form Using Multiple Correspondence Analysis. In: Lenz, HJ., Wilrich, PT. (eds) Frontiers in Statistical Quality Control 6. Frontiers in Statistical Quality Control, vol 6. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57590-7_9
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DOI: https://doi.org/10.1007/978-3-642-57590-7_9
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1374-6
Online ISBN: 978-3-642-57590-7
eBook Packages: Springer Book Archive