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Dictionary of Evidence-based Medicine.pdf

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<strong>Dictionary</strong> <strong>of</strong> <strong>Evidence</strong>-<strong>based</strong> <strong>Medicine</strong> 91<br />

Figure 13 A L'Abbe plot<br />

For a diagnostic test, the LR is the ratio <strong>of</strong> the probability <strong>of</strong> obtaining a<br />

result in subjects with the disease relative to the probability <strong>of</strong> obtaining<br />

the same result in subjects without the disease. Two likelihood ratios can<br />

be calculated in each clinical situation: (i) LR positive and (ii) LR negative,<br />

where LR positive is the ratio <strong>of</strong> the probability <strong>of</strong> obtaining a positive test<br />

result in diseased subjects relative to the probability <strong>of</strong> obtaining the same<br />

result in non-diseased subjects. The LR negative is the ratio <strong>of</strong> the probability<br />

<strong>of</strong> obtaining a negative test result in diseased subjects relative to the<br />

probability <strong>of</strong> obtaining the same result in non-diseased subjects.<br />

Likert scale<br />

The Likert scale, named after Rensis Likert, is also known as the summative<br />

scale. It is a rating scale <strong>based</strong> on the summative model, which<br />

assumes that individual items are monotonically related to the underlying<br />

attributes being measured and that the sum <strong>of</strong> the item scores is approximately<br />

linearly related to the attribute. The term is now used more loosely<br />

to describe any scale in which the items are scored on a categorical scale<br />

to show the degree <strong>of</strong> agreement, e.g. 1 = strongly approve; 2 = approve;<br />

3 = neutral; 4 = disapprove; 5 = strongly disapprove.

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