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The Expected Variance of the Sampling Errors for a Set of Item-Criterion Correlations

Published online by Cambridge University Press:  01 January 2025

Hubert E. Brogden*
Affiliation:
Personnel Research Branch, The Adjutant General's Office*

Abstract

An expression for the expected variance of the sampling errors for the validities of a set of correlated items that is computationally feasible when the number of items is large is developed. Since the item difficulties are assumed to be constant, the estimate must be applied to pools or sub-pools of items reasonably homogeneous with respect to difficulty.

Type
Original Paper
Copyright
Copyright © 1957 The Psychometric Society

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Footnotes

*

The opinions expressed are those of the author and do not reflect official Department of the Army policy.

References

Wishart, J. The generalized product-moment distribution in samples from a normal multivariate population. Biometrika, 1928, 20A, 3232CrossRefGoogle Scholar