Estimating the polyserial correlation coefficient

Edward J. Bedrick, Frederick C. Breslin

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


We develop simple noniterative estimators of the polyserial correlation coefficient. A general relationship between the polyserial correlation and the point polyserial correlation is exploited to give extensions of Pearson's, Brogden's, and Lord's biserial estimators to the multicategory setting. The small sample and asymptotic properties of these estimators are studied in some detail. A comparison with maximum likelihood estimates shows that Lord's polyserial estimator is fairly efficient across three probability models.

Original languageEnglish (US)
Pages (from-to)427-443
Number of pages17
Issue number3
StatePublished - Sep 1996
Externally publishedYes


  • Biserial correlation
  • Brogden's estimator
  • Lord's estimator
  • Maximum likelihood

ASJC Scopus subject areas

  • General Psychology
  • Applied Mathematics


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