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Montoye, Alexander H. K.; Conger, Scott A.; Connolly, Christopher P.; Imboden, Mary T.; Nelson, M. Benjamin; Bock, Josh M.; Kaminsky, Leonard A. – Measurement in Physical Education and Exercise Science, 2017
This study compared accuracy of energy expenditure (EE) prediction models from accelerometer data collected in structured and simulated free-living settings. Twenty-four adults (mean age 45.8 years, 50% female) performed two sessions of 11 to 21 activities, wearing four ActiGraph GT9X Link activity monitors (right hip, ankle, both wrists) and a…
Descriptors: Validity, Electronic Equipment, Prediction, Physical Activity Level
Becker, Derek R.; Carrere, Sybil; Siler, Chelsea; Jones, Stephanie; Bowie, Bonnie; Cooke, Cheryl – Mind, Brain, and Education, 2012
In this study we examined high frequency heart rate variability (HF-HRV, a parasympathetic index) both at rest and during challenge, to assess if variations in cardiovascular activity measured during a Stroop task could be used to predict reading achievement in typically developing children. Reading achievement was examined using the Peabody…
Descriptors: Metabolism, Reading Achievement, Achievement Tests, Prediction
Allchin, Douglas – Science & Education, 2006
This paper addresses Lawson's puzzlement about the absence of prediction in William Harvey's and Marcello Malpighi's views on capillaries. In addressing the context of that enquiry, it also addresses historiographic versus philosophical models of science, contexts of discovery versus justification, normative versus descriptive interpretations of…
Descriptors: Human Body, Metabolism, Prediction, Historiography