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Prorating the Wechsler Memory Scale

Journal of Clinical Psychology

|January 1, 1981

Summary

This summary is machine-generated.

This study introduces weights derived from stepwise regression to estimate missing scores on the Wechsler Memory Scale. This method addresses inadequate norms and improves prorating accuracy for the Total Raw Score.

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Area of Science:

Neuropsychology
Psychometrics

Background:

The Wechsler Memory Scale has limitations, including insufficient norms and standard scores for subtests.
This deficiency complicates prorating the Total Raw Score when subtest data is absent.

Purpose of the Study:

To develop a method for estimating missing subtest scores on the Wechsler Memory Scale.
To provide weights for prorating the Total Raw Score accurately.

Main Methods:

Stepwise regression was used to derive weights for score estimation.
Double cross-validation was employed to assess the accuracy of the estimates.

Main Results:

A set of weights was generated to estimate the Total Raw Score when a subtest is missing.

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The accuracy of these estimates was validated through double cross-validation.

Conclusions:

The proposed weighting system offers a viable solution for handling missing data in the Wechsler Memory Scale.
This approach enhances the usability of the scale by improving score estimation accuracy.