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1 results

  • Imputation of Missing Categorical Data by Maximizing Internal Consistency

  • Stef van Buuren, Jan L. A. van Rijckevorsel
  • Journal:
    Psychometrika / Volume 57 / Issue 4 / December 1992
    Published online by Cambridge University Press:
    01 January 2025, pp. 567-580

  • This paper suggests a method to supplant missing categorical data by “reasonable” replacements. These replacements will maximize the consistency of the completed data as measured by Guttman's squared correlation ratio. The text outlines a solution of the optimization problem, describes relationships with the relevant psychometric theory, and studies some properties of the method in detail. The main result is that the average correlation should be at least 0.50 before the method becomes practical. At that point, the technique gives reasonable results up to 10–15% missing data.