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    block this user Herve Abdi Trusted member

    Professor / herve@utdallas.edu

    The University of Teas at Dallas, School of Behavioral and brain Sciences, Richardson, TX 75080, USA

    1 Overview RV Coefficient and Congruence Coefficient

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    The congruence coefficient was first introduced by Burt (1948) under the name of unadjusted correlation as a measure of the similarity of two factorial configurations. The name congruence coefficient was later tailored by Tucker (1951, see also Harman, 1976). The congruence coefficient is also sometimes called a monotonicity coefficient (Borg & Groenen, 1997, p. 203). The congruence coefficient takes values between ?1 and +1. The RV coefficient was introduced by Escoufier (1973, see also Robert & Escoufier, 1976) as a measure of similarity between squared symmetric matrices (specifically: positive semi-definite matrices) and as a theoretical tool to analyze multivariate techniques. The RV coefficient is used in several statistical techniques such as STATIS and DISTATIS (see corresponding entries and Abdi, 2003). In order to compare rectangular matrices using the RV coefficient the first step is to transform them into square matrices. The RV

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    Title : 1 Overview RV Coefficient and Congruence Coefficient
    Abstract : The congruence coefficient was first introduced by Burt (1948) under the name of unadjusted correlation as a measure of the similarity of two factorial configurations. The name congruence coefficient was later tailored by Tucker (1951, see also Harman, 1976). The congruence coefficient is also sometimes called a monotonicity coefficient (Borg & Groenen, 1997, p. 203). The congruence coefficient takes values between ?1 and +1. The RV coefficient was introduced by Escoufier (1973, see also Robert & Escoufier, 1976) as a measure of similarity between squared symmetric matrices (specifically: positive semi-definite matrices) and as a theoretical tool to analyze multivariate techniques. The RV coefficient is used in several statistical techniques such as STATIS and DISTATIS (see corresponding entries and Abdi, 2003). In order to compare rectangular matrices using the RV coefficient the first step is to transform them into square matrices. The RV
    Subject : unspecified
    Area : Other
    Language : English
    Affiliations : 
    Url : http://www.utdallas.edu/~herve/Abdi-RV2007-pretty.pdf
    Doi : 10.1.1.81.1032

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