Understanding Ferguson's delta: time to say good-bye?
Bottom Line: A critique of Hankins, M: 'How discriminating are discriminative instruments?' Health and Quality of Life Outcomes 2008, 6:36.
A critique of Hankins, M: 'How discriminating are discriminative instruments?' Health and Quality of Life Outcomes 2008, 6:36.
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Mentions: So far, we assumed an instrument without measurement error, an unrealistic situation. What will happen with Ferguson's δ when we introduce some error into the scores? We will continue with the sample of Example 2, and assume the scale is ordinal. In Example 3, however, we add some measurement error. In order to obtain scores between 1 and 10 with a 'good' reliability coefficient between 0.80 and 0.90, we add to the perfectly reliable (true) score of the subjects a normally distributed random (error) score with a mean of 0 and a standard deviation of 1. After summating the true score and the error score, we need to 'force' the scores into the score categories by rounding to the nearest integer and subsequently recode scores <1 into 1 and scores >10 into 10. The resulting total score turns out to have a variance of 9.91. The variance of the true score is 8.53, and the variance of the error score thus is 9.91 – 8.53 = 1.38. Hence, the reliability coefficient of the score is 8.53/9.91 = 0.86. The situation is shown in Figure 3. The number of non-different comparisons, (within the shaded cells), is 108. Using formula (2), Ferguson's δ is: