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Here - Tilburg University

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Author and presenter<br />

Kampen, Jarl; Wageningen <strong>University</strong> and Research Centre<br />

Title<br />

Ferguson's and Hankin's delta revisited: Towards a renewed interest in the<br />

discriminating power of tests<br />

Abstract<br />

Discriminating power is a characteristic of health indices, tests and<br />

questionnaires that is crucial for use of test scores in practice. Recently, renewed<br />

attention has been paid to Ferguson's Coefficient of Test Discrimination (delta)<br />

for test scores based on dichotomous items, and an extension thereof that<br />

quantifies discrimination for test scores based on polytomous ordinal items. In<br />

this article, four potential problems relating to Ferguson's delta and Hankins'<br />

recent generalization are discussed. Alternative methods of analysis that test for<br />

certain aspects of discriminative power are proposed.<br />

The properties of Ferguson's delta and its generalization are illustrated by<br />

mathematical argument, numerical examples, and the analysis of a real data set<br />

consisting of ordinal scaled items (WHOQOL-BREF Domain 2).<br />

It is shown that 1) Ferguson's delta in practical applications its maximal<br />

value cannot be attained which obfuscates interpretation, 2) its statistical<br />

significance cannot be computed reliably, 3) it is insensitive to the fineness of<br />

test scores and 4) it is insensitive to variation in discriminating power over the<br />

range of possible test scores.<br />

It is concluded that the renewed attention for discriminative power can<br />

help improve measurement in health. However, Ferguson's delta is not the most<br />

effective coefficient for this purpose. The proposed alternative methods are<br />

promising but require further assessment.

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