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A Statistical Test for the Significance of a Coefficient of Reproducibility

Published online by Cambridge University Press:  01 January 2025

Philip C. Sagi*
Affiliation:
Princéton University

Abstract

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.

Type
Original Paper
Copyright
Copyright © 1959 The Psychometric Society

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