Criterion-Related Validity of the Children\u27s Occupational Performance Questionnaire

This study examined concurrent, criterion-related validity of a new measure of occupational performance for children, the Children’s Occupational Performance Questionnaire (COP-Q). The COP-Q is completed by caregivers of children to measure performance in five areas of occupation: Activities of Daily Living, Instrumental Activities of Daily Living, Social Participation, Play/Leisure, and Education/Work. Scores from a sample of children ranging in age from birth to 18 years were correlated with scores from the Vineland Adaptive Behavior Scales-II (VABS), a well-established assessment tool of adaptive behavior that measures similar functional areas as the COP-Q. The results indicated that the COP-Q correlates highly and significantly with the constructs measured by the VABS including social interaction, communication, daily living skills, and to a lesser extent, motor skills. The strong relations between these measures suggest that adaptive behavior and occupational performance address similar constructs, and the results supported the validity of the COP-Q as a measure of occupational performance

A Vowel Analysis of the Northwestern University-Children\u27s Perception of Speech Evaluation Tool

In an analysis of the speech perception evaluation tool, the Northwestern University – Children’s Perception of Speech test, the goal was to determine whether the foil words and the target word were phonemically balanced across each page of test Book A, as it corresponds to the target words presented in Test Form 1 and Test Form 2 independently. Based on vowel sounds alone, variation exists in the vowels that appear on a test page on the majority of pages. The corresponding formant frequencies, at all three resonance levels for both the average adult male speaker and the average adult female speaker, revealed that the target word could be easily distinguished from the foil words on the premise of percent differences calculated between the formants of the target vowel and the foil vowels. For the population of children with hearing impairments, especially those with limited or no access to the high frequencies, the NU-CHIPS evaluation tool may not be the best indicator of the child’s speech perception ability due to significant vowel variations

Trading Data for Discounts: An Exploration of Unstructured Data Through Machine Learning in Wearable Technology

The development of computing sensor devices with the capability of tracking an individual’s activity changed the way we live and move. The data collected and generated from wearable technology provides implications to the user for leading a healthy, more active lifestyle; however, the potential data uses extend beyond the user. Significant opportunity exists in the insurance industry as it relates to discounting premiums. The purpose of this research was to provide insight as to whether insurance companies should consider offering discount on premiums for policyholders who use wearable technology to track their personal fitness by identifying and suggesting potential groups of consumers to target these discounts toward. Using the platform R, researchers collected and analyzed tweets about four leading wearable technology companies including Fitbit, Jawbone, Misfit, and Withings. Both unsupervised and supervised learning techniques were pursued during the study in the form of topic modeling and artificial intelligence. Through detailed analysis, researchers determined that companies may want to consider reducing premiums for wearable technology users who use the devices for weight loss, as it would benefit both policyholders and insurance companies