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Standard Error of Measurement


In classical test theory, the standard error of measurement is the standard deviation of the random error E in the model

 X=T+E,

where X is an observed score, T is its unobserved true score, and E has expectation value zero. If the observed scores have standard deviation sigma_X, the true scores and errors are uncorrelated, and the reliability coefficient is rho=var(T)/var(X), then

 sigma_E=sigma_Xsqrt(1-rho).

The standard error of measurement concerns uncertainty in an individual observed score and is not the same as the standard error of a sample statistic.


See also

Standard Deviation, Standard Error

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References

Nunnally, J. C. and Bernstein, I. H. Psychometric Theory, 3rd ed. New York: McGraw-Hill, 1994.

Cite this as:

Weisstein, Eric W. "Standard Error of Measurement." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/StandardErrorofMeasurement.html

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