A Functional Approach to Configural Frequency Analysis

von Eye, Alexander and Mair, Patrick (2007) A Functional Approach to Configural Frequency Analysis. Research Report Series / Department of Statistics and Mathematics, 48. Department of Statistics and Mathematics, WU Vienna University of Economics and Business, Vienna.


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Standard Configural Frequency Analysis (CFA) is a one-step procedure that determines which cells of a cross-classification contradict a base model. Selecting these cells out does not guarantee that the base model fits. Therefore, the role played by these cells for the base model is unclear, and interpretation of types and antitypes can be problematic. In this paper, functional CFA is proposed. This model of CFA pursues two goals simultaneously. First, cells are selected out that constitute types and antitypes. Second, the base model is fit to the data. This is done using an iterative procedure that blanks out individual cells one at a time, until the base model fits or until there are no more cells that can be blanked out. In comparison to standard CFA, functional CFA is shown to be more parsimonious, that is, fewer types and antitypes need to be selected out. In comparison to Kieser and Victor's CFA which focuses exclusively on optimizing the fit of the base model, functional CFA needs, in most cases, more iteration steps, but the overall goodness-of-fit for the base model is better. The methods are illustrated and compared using data examples from the literature. (author's abstract)

Item Type: Paper
Keywords: configural frequency analysis / functional CFA / Kieser-Victor CFA
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Depositing User: Repository Administrator
Date Deposited: 03 Mar 2007 19:21
Last Modified: 22 Oct 2019 00:41
URI: https://epub.wu.ac.at/id/eprint/1488


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