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Armstrong, Rebecca; Symons, Martyn; Scott, James G.; Arnott, Wendy L.; Copland, David A.; McMahon, Katie L.; Whitehouse, Andrew J. O. – Journal of Speech, Language, and Hearing Research, 2018
Purpose: The current study aimed to compare traditional logistic regression models with machine learning algorithms to investigate the predictive ability of (a) communication performance at 3 years old on language outcomes at 10 years old and (b) broader developmental skills (motor, social, and adaptive) at 3 years old on language outcomes at 10…
Descriptors: Foreign Countries, Regression (Statistics), Language Tests, Predictive Validity
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Wolfe, Christopher R.; Widmer, Colin L.; Torrese, Christine V.; Dandignac, Mitchell – Journal of Learning Analytics, 2018
We developed a method for using Coh-Metrix to automatically analyze tutorial dialogues. Coh-Metrix, a web-based tool for automatically evaluating text, is freely available to researchers. We applied the method to 190 tutorial dialogues between women and "BRCA Gist" from two experiments. "BRCA Gist" is an intelligent tutoring…
Descriptors: Data Analysis, Risk, Cancer, Females
Carney, Timothy Jay – ProQuest LLC, 2012
A study design has been developed that employs a dual modeling approach to identify factors associated with facility-level cancer screening improvement and how this is mediated by the use of clinical decision support. This dual modeling approach combines principles of (1) Health Informatics, (2) Cancer Prevention and Control, (3) Health Services…
Descriptors: Cancer, Screening Tests, Prevention, Public Health