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Alexander H.K. Montoye, Kimberly A. Clevenger, Kelly A. Mackintosh, Melitta A. McNarry and Karin A. Pfeiffer

 al., 2016 ; Staudenmayer et al., 2015 ) and one study in youth ( Hibbing, Ellingson, et al., 2018 ) have demonstrated that the accuracy of these models decreases when cross-validating in a new or independent sample, indicating a tendency for machine learning models to be over-fit to the data. Further

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Stacy N. Scott, Cary M. Springer, Jennifer F. Oody, Michael S. McClanahan, Brittany D. Wiseman, Tyler J. Kybartas and Dawn P. Coe

estimated VO 2 peak is significantly underestimated in individuals with a high BMI, and researchers have suggested the inclusion of BMI as a predictor variable in the PACER equation ( 25 ). All currently validated equations are based on tests measuring VO 2 peak on a treadmill and not during the actual

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Albert R. Mendoza, Kate Lyden, John Sirard, John Staudenmayer, Catrine Tudor-Locke and Patty S. Freedson

device battery life, and on board device or cloud-based memory capacity. However, growth of the market and advances in consumer device technology far outpace our understanding about the validity of such devices. The majority of consumer activity tracker validation studies currently available have been

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Dennis K. Landin, Andrew Hawkins and Robert L. Wiegand

This investigation sought to validate a taxonomy of strategies used in formulating the feedback supplied to teacher trainees involved in the peer teaching segment of a secondary methods class. Lesson deficiencies were diagnosed through analysis of student and teacher process behavior data. Certain student and teacher response classes were selected for each trainee as dependent variables (DVs) and targeted for improvement. Goals were set for each DV and strategies for improvement were suggested by teacher educators (TEs). These strategies, selected from a taxonomy developed in previous work (Hawkins, Wiegand, & Landin, 1985), served as independent variables (IVs). A modified changing criterion design was employed to evaluate the data. Strategy effectiveness was determined by analyzing the degree to which trainees met data-based goals for the targeted response classes. Results indicated that several strategies seemed useful for a wide variety of activities. Also indicated by the results is the need for teacher trainers to be better prepared to handle large classes.

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Kelley Pettee Gabriel, Adriana Pérez, David R. Jacobs Jr, Joowon Lee, Harold W. Kohl III and Barbara Sternfeld

and evaluate composite scores, which includes physical activity estimates from multiple sources, has not yet been explored. Therefore, the purpose of this study is to illustrate proof of concept by exploring the utility and cross-validation of a composite score which combines self-reported and

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Reid J. Reale, Timothy J. Roberts, Khalil A. Lee, Justina L. Bonsignore and Melissa L. Anderson

, the investigators never validated the equation. Furthermore, their sample was small and homogenous, consisting of just 50 Korean high school athletes (mean ±  SD ; age = 16.6 ± 1.0 years, height = 171.6 ± 8.3 cm, weight = 63.3 ± 7.9 kg, body fat percentage = 9.6 ± 3.5%). These sample characteristics

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Samantha L. Winter, Sarah M. Forrest, Joanne Wallace and John H. Challis

-specific BSIPs, however, a key problem is that no female-specific geometric models for estimating BSIPs have been validated, despite significant differences in the shapes of segments between males and females. 3 There are several methods of estimating BSIPs. Scanning techniques such as dual x-ray absorptiometry

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Ashley A. Hansen, Joanne E. Perry, John W. Lace, Zachary C. Merz, Taylor L. Montgomery and Michael J. Ross

treatment monitoring in sport psychological practice; therefore, the current study sought to create an instrument addressing this need. This research endeavor resulted in the development and initial psychometric validation of a 17-item self-report instrument that measures four dimensions of progress

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Christopher J. Nightingale, Sidney N. Mitchell and Stephen A. Butterfield

. Our goal was to evaluate the TUG test as an indicator of balance. To assess the TUG test, we selected the OptoGait gait test as a tool with which we could compare TUG performance. The OptoGait photoelectric system has been validated as an effective tool for precise measurement of spatiotemporal gait

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Patty Freedson

In this issue we feature the paper, “Methods for Activity Monitor Validation Studies: An Example With the Fitbit Charge,” by Kathryn DeShaw and colleagues ( 2018 ). Kathryn is a doctoral student working under the direction of Dr. Greg Welk at Iowa State University. This paper examines free