Configural Frequency Analysis: The Search for Extreme Cells

Alexander Von Eye and Eduardo Gutierrez Pena

Journal of Applied Statistics, 2004, vol. 31, issue 8, 981-997

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.

Keywords: Configural frequency analysis (CFA); extreme cells; types; antitypes; base models; protection; frequentist CFA; Bayesian CFA; Dirichlet distribution; contingency table (search for similar items in EconPapers)
Date: 2004
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DOI: 10.1080/0266476042000270545

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