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?:abstract
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"This chapter explores a different way to measure the quality of display that is specifically aimed at the scalar-product or a distance-based "between-variable" way used for the interpretation of the joint display. The usual diagnostics in the correspondence analysis (CA) are based on the decomposition of the total inertia into components. These diagnostics suit the dimensional interpretation of CA; when the principal axes are interpreted one at a time, each point's contribution to an axis is evaluated as well as each axis' contribution to the points. The distance interpretation of a map is based on the comparison of the relative positions of categories; the tau index is proposed as a summary measure of the validity of this interpretation. If a profile point representing a specific category is well represented, then the recovery of data values relative to this category will tend to be of higher quality than the category that is poorly represented. The chapter presents the dataset on cultural competences. The chapter explains the concepts of diagnostics in simple CA and CA as an unfolding model. A discussion on nonmetric graphic diagnostic and an extension to the multiple correspondence analysis and joint correspondence analysis are also presented in the chapter."Die ALLBUS-Daten von 1986 werden für die Analyse genutzt.
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?:author
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?:comment
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ALLBUS-Bibliography
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?:dateCreated
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Aufgenommen: 32. Fassung, März 2018
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?:name
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Diagnostics for Joint Displays in Correspondence Analysis
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incollection
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?:publisher
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?:reference
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Visualization of Categorical Data
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Bibsonomy
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In Visualization of Categorical Data, edited by Blasius, Jörg and Greenacre, Michael, 221-238, Academic Press, 1998
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?:studyGroup
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?:tags
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1998
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ALLBUS
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ALLBUS1986
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ALLBUS_input2017
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ALLBUS_pro
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ALLBUS_version32
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FDZ_ALLBUS
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checked
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english
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incollection
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