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Configural Frequency Analysis: The Search for Extreme Cells

Author

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  • Alexander Von Eye
  • Eduardo Gutierrez Pena

Abstract

Configural Frequency Analysis (CFA) asks whether a cell in a cross-classification contains more or fewer cases than expected with respect to some base model. This base model is specified such that cells with more cases than expected (also called types) can be interpreted from a substantive perspective. The same applies to cells with fewer cases than expected (antitypes). This article gives an introduction to both frequentist and Bayesian approaches to CFA. Specification of base models, testing, and protection are discussed. In an example, Prediction CFA and two-sample CFA are illustrated. The discussion focuses on the differences between CFA and modelling.

Suggested Citation

  • Alexander Von Eye & Eduardo Gutierrez Pena, 2004. "Configural Frequency Analysis: The Search for Extreme Cells," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(8), pages 981-997.
    • Handle: RePEc:taf:japsta:v:31:y:2004:i:8:p:981-997
    DOI: 10.1080/0266476042000270545
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    Cited by:

    1. Hans P. W. Bauer & Gabriel Schui & Alexander Eye & Günter Krampen, 2013. "How does scientific success relate to individual and organizational characteristics? A scientometric study of psychology researchers in the German-speaking countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 523-539, February.
    2. Gianni Guastella & Walid Oueslati & Stefano Pareglio, 2019. "Patterns of Urban Spatial Expansion in European Cities," Sustainability, MDPI, vol. 11(8), pages 1-15, April.

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