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This test was developed by Dr. Richard Wilson to measure a person’s ability to recognize single words presented amid varying levels of background noise. It measures how much difficulty a person might have hearing in a noisy environment. A recorded voice instructs the participant to listen to and then repeat words. The task becomes increasingly difficult as the background noise gets louder. The best score that can be attained (35 correct) for either ear is -2.0 dB S/N, and the worst score (0 correct) is 26.0 dB S/N. Lower scores, therefore, are indicative of better performance on this test.

Definition contributed by Anonymous
NIH Toolbox Words-in Noise Test has been asserted to measure the following CONCEPTS
as measured by the contrast:

Phenotypes associated with NIH Toolbox Words-in Noise Test


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IMPLEMENTATIONS of NIH Toolbox Words-in Noise Test
No implementations have been added.
EXTERNAL DATASETS for NIH Toolbox Words-in Noise Test
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Experimental conditions are the subsets of an experiment that define the relevant experimental manipulation.


In the Cognitive Atlas, we define a contrast as any function over experimental conditions. The simplest contrast is the indicator value for a specific condition; more complex contrasts include linear or nonlinear functions of the indicator across different experimental conditions.

dB signal-to-noise ratio
percent correct

An indicator is a specific quantitative or qualitative variable that is recorded for analysis. These may include behavioral variables (such as response time, accuracy, or other measures of performance) or physiological variables (including genetics, psychophysiology, or brain imaging data).