Alternative metrics for real-ear-to-coupler difference average values in children.
Judith T Blumsack1, Sandra Clark-Lewis1, Kelli M Watts1
1Department of Communication Disorders, Auburn University, Auburn; AL.
Journal of the American Academy of Audiology
|November 19, 2014
Summary
Head circumference is a reliable predictor of real-ear-to-coupler difference (RECD) in children when direct measurements are not feasible. This metric is particularly useful in resource-limited settings for pediatric hearing aid fitting.
Area of Science:
- Audiology
- Pediatric audiology
- Hearing instrument fitting
Background:
- Individual real-ear-to-coupler difference (RECD) measurements are crucial for pediatric hearing aid fitting.
- Age-based average RECDs may be inaccurate for children with growth impairments.
- Alternative predictive metrics are needed when direct RECD measurements are unavailable.
Purpose of the Study:
- To investigate if head circumference, height, or weight can predict RECDs in children.
- To identify a reliable alternative to direct RECD measurements for pediatric hearing aid fitting.
Main Methods:
- Correlational study design involving 68 North American children aged 3-11 years.
- Measurement of RECDs (both ears), head circumference, height, and weight.
- Backward elimination multiple-regression analysis to identify significant predictors of RECDs across various frequencies.
Main Results:
- Head circumference was the most significant predictor of RECDs in the left ear.
- Head circumference was a significant predictor for the right ear across most frequencies.
- Weight was a significant predictor for the right ear at 2000 and 4000 Hz.
Conclusions:
- Head circumference serves as a viable metric for predicting RECDs in children when individual measurements are not possible.
- This finding is especially relevant for developing countries where equipment may be scarce and stunted growth can affect age-based predictions.
Related Concept Videos
Mean Absolute Deviation
3.7K
The mean absolute deviation is also a measure of the variability of data in a sample. It is the absolute value of the average difference between the data values and the mean.
Let us consider a dataset containing the number of unsold cupcakes in five shops: 10, 15, 8, 7, and 10. Initially, calculate the sample mean. Then calculate the deviation, or the difference, between each data value and the mean. Next, the absolute values of these deviations are added and divided by the sample size to...
Let us consider a dataset containing the number of unsold cupcakes in five shops: 10, 15, 8, 7, and 10. Initially, calculate the sample mean. Then calculate the deviation, or the difference, between each data value and the mean. Next, the absolute values of these deviations are added and divided by the sample size to...
3.7K
RMS Value in AC Circuit
3.8K
The root mean square (RMS) value is a measure of the effective or average value of an alternating current (AC) waveform. In AC circuits, the voltage or current waveform constantly changes direction and magnitude, making it difficult to describe with a single value. The RMS value provides a convenient way to calculate the equivalent DC voltage or current that would produce the same heating effect in a resistor as the AC waveform.
Mathematically, the RMS value of an AC waveform is the square root...
Mathematically, the RMS value of an AC waveform is the square root...
3.8K
Harmonic Mean
4.0K
The arithmetic mean is usually skewed towards the larger values in the data set. Therefore, to avoid this inherent bias towards smaller values, the harmonic mean is used.
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
4.0K
Temperature Measurement Sites
4.3K
A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
4.3K
Statistical Analysis: Overview
18.8K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
18.8K
Standard Deviation of Calculated Results
10.8K
Standard deviation measures the spread of data around the mean value. Many large data sets follow a Gaussian distribution, also known as a normal distribution. This distribution is bell-shaped curved, with the most frequently observed value (mean or central value) in the middle. The farther away from the central value, the greater the deviation from the central value, and the lower the frequency.
A broad Gaussian distribution curve has a wider standard deviation, representing a data set with...
A broad Gaussian distribution curve has a wider standard deviation, representing a data set with...
10.8K


