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TETCORR: A computer program to compute smoothed tetrachoric correlation matrices

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Abstract

Although many programs exist for computing tetrachoric correlations, these programs typically lack one or more of the following features: (1) efficient processing of a large number of variables and computing of a matrix of coefficients; (2) a matrix-smoothing capability; (3) an accurate, reliable computing algorithm; (4) the ability to handle missing data; and (5) nominal cost. TETCORR, which combines an algorithm developed by Brown (1977) with starting values obtained from Divgi (1979a) for more efficient computation, was created to address these and other user concerns.

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Authors and Affiliations

  1. Embry-Riddle Aeronautical University, 2275 Pine Drive, 86305, Prescott, AZ

    James S. Fleming

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  1. James S. Fleming
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Correspondence to James S. Fleming.

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Note—This article was accepted by the previous editor, Jonathan Vaughan.

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Fleming, J.S. TETCORR: A computer program to compute smoothed tetrachoric correlation matrices. Behavior Research Methods 37, 59–64 (2005). https://doi.org/10.3758/BF03206398

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  • DOI: https://doi.org/10.3758/BF03206398

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