, Volume 24, Issue 1, pp 19–27 | Cite as

A statistical test for the significance of a coefficient of reproducibility

  • Philip C. Sagi


Under the assumption that responses to different dichotomous items are statistically independent, exact distributions for coefficients of reproducibility, CR, are derived. These distributions are useful in testing whether an observed coefficient of reproducibility differs significantly from chance expectations and whether further scaling manipulations are warranted. The effects of purification on sampling distributions of errors are calculated to demonstrate a relationship between scaling operations and expected chance values of the CR.


Purification Public Policy Statistical Theory Sampling Distribution Exact Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Psychometric Society 1959

Authors and Affiliations

  • Philip C. Sagi
    • 1
  1. 1.Princeton UniversityUSA

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