Contingency Analysis

Klaus Backhaus (), Bernd Erichson (), Sonja Gensler (), Rolf Weiber () and Thomas Weiber ()
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Klaus Backhaus: University of Münster
Bernd Erichson: Otto-von-Guericke-University Magdeburg
Sonja Gensler: University of Münster
Rolf Weiber: University of Trier

Chapter Chapter 6 in Multivariate Analysis, 2023, pp 353-379 from Springer

Abstract: Abstract Contingency analysis is used to detect and investigate relationships between nominally scaled variables. Typical examples are the investigation of associations between income class, profession or gender and consumer behavior, or the examination of whether the level of education or the family background (social class) is associated with the membership in a particular political party. Questions arising in this context may include: Is there a significant association between the variables? Is it possible to make a statement about the strength or even the direction of the association? This chapter describes contingency analysis for the simple 2 × 2 case as well as for larger cross tables. Furthermore, the role of confounding variables is discussed.

Date: 2023
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DOI: 10.1007/978-3-658-40411-6_6

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