A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient.

This article describes a simple and fast algorithm for generating correlation matrices ( R) with a known average correlation. The algorithm should be useful for researchers desiring plausible R matrices for substantive domains in which average correlations are known (at least approximately). The met...

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Publicado en:American Statistician Vol. 79; no. 1; pp. 23 - 30
Autor principal: Waller, Niels G.
Formato: Artículo
Publicado: Taylor & Francis Ltd Feb2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2025
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      pub: Taylor & Francis Ltd
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        10.1080/00031305.2024.2350449
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        atl: A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient.
      aug:
        au: Waller, Niels G.
        affil: Department of Psychology, University of Minnesota, Minneapolis, MN
      su:
        Personal computers
        Convex sets
        Research personnel
        Statistical correlation
        Matrices (Mathematics)
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          Personal computers
          Electronic Computer Manufacturing
          Computer and peripheral equipment manufacturing
          Convex sets
          Research personnel
          Statistical correlation
          Matrices (Mathematics)
      keyword:
        Correlation matrices
        Elliptope geometry
        Monte Carlo studies
        Correlation matrices
        Elliptope geometry
        Monte Carlo studies
      ab: This article describes a simple and fast algorithm for generating correlation matrices ( R) with a known average correlation. The algorithm should be useful for researchers desiring plausible R matrices for substantive domains in which average correlations are known (at least approximately). The method is non-iterative and it can solve relatively large problems (e.g., generate a 500 × 500 R matrix) in less than a second on a personal computer. It also has didactic value for introducing students to the convex set of feasible R matrices of a fixed dimension. This Euclidean body is called an elliptope. The proposed method exploits the geometry of elliptopes to efficiently generate realistic R matrices with a desired average correlation coefficient. R code for implementing the algorithm (and for reproducing all of the results of this article) is reported in an online supplement.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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