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Bradley Beseler, Kathleen Williams, and Mandy S. Plumb

validating developmental sequences has focused on the trunk and arm segments (forearm and humerus). Only a preliminary sequence for the backswing action was hypothesized ( Langendorfer, 1980 ; Roberton & Halverson, 1984 ), and only two validation investigations were published ( Haywood et al., 1991

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Marco Giurgiu, Johannes B.J. Bussmann, Holger Hill, Bastian Anedda, Marcel Kronenwett, Elena D. Koch, Ulrich W. Ebner-Priemer, and Markus Reichert

behavior.” According to previous validation studies, only a few activity monitors such as the thigh-worn ActivPAL (PAL Technologies Ltd., Glasgow, United Kingdom) have proven to be an accurate sensor for device-based measuring of sedentary behavior ( Grant, Ryan, Tigbe, & Granat, 2006 ; Kim, Barry, & Kang

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Lyndel Hewitt, Anthony D. Okely, Rebecca M. Stanley, Marjika Batterham, and Dylan P. Cliff

the infant (such as when the device is carried in a handbag, placed in a moving car, or put in a pram/stroller or left stationary) are not included in the analyses. To contribute to the validation of the GENEActiv to measure tummy time duration, wear and nonwear time analysis methods need to be

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Mary Emily Littrell, Young-Hui Chang, and Brian P. Selgrade

difficult for less-experienced clinicians and often unreliable, 7 , 8 would be complemented by quantitative gait analysis. As medical devices and rehabilitation become more expensive, 9 it becomes even more important to quantify efficacy of these interventions to justify their cost. Here, we validate a

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Jeff M. Barrett, Colin D. McKinnon, Clark R. Dickerson, and Jack P. Callaghan

partitioned among the intervertebral joints. Typically, the total angle is partitioned among intervertebral joints in proportion to the in vitro ranges of motion of the isolated intervertebral joints. 21 – 23 Therefore, the investigation was 3-fold. First, to develop, calibrate, and validate the passive

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Kayla J. Nuss, Nicholas A. Hulett, Alden Erickson, Eric Burton, Kyle Carr, Lauren Mooney, Jacob Anderson, Ashley Comstock, Ethan J. Schlemer, Lucas J. Archambault, and Kaigang Li

(Euclidean Norm Minus One or ENMO), and more complex methods, like the Staudenmayer linear method (SLM) and Staudenmayer’s random forest (SRF) method ( Staudenmayer, He, Hickey, Sasaki, & Freedson, 2015 ). However, no evidence has been found to support the validation of those methods. Rather, Ellingson et

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Leilani A. Madrigal, Vincenzo Roma, Todd Caze, Arthur Maerlender, and Debra Hope

exploratory factor analysis was necessary to explore the emergence of sports-related anxiety factors. Next, using a split-sample procedure, a confirmatory factor analysis was used to validate the factor structure from exploratory factor analysis to determine how well the model fit the data. In further

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Elif Turgut, Mesut Burak Tascan, Ezgi Nur Can, Ismail Bayram, Evan O. Nelson, and Bryan Heiderscheit

Form (IKDC), 9 and the Foot and Ankle Ability Measure (FAAM). 10 All of these reference questionnaires had been translated to Turkish and validated previously. All questionnaires were administered to the runners in a random order. All participants completed the UWRI and the LEFS. The LEFS score was

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Vincent Shieh, Ashwini Sansare, Minal Jain, Thomas Bulea, Martina Mancini, and Cris Zampieri

clinically feasible manner. However, access to this technology for clinicians and researchers is limited by its cost, space requirements, and portability; therefore, there has been an effort to validate other instruments that provide the same objective measurements. Recent findings have shown that wearable

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Tori M. Stone, Jonathan E. Wingo, Brett S. Nickerson, and Michael R. Esco

aforementioned studies comparing BMC from DXA and BIA used small samples and correlational analyses, so more definitive conclusions about the efficacy of using BIA to estimate BMC, and the extent of bias between BMC values from DXA and BIA, remain unknown. Accordingly, the purpose of this study was to validate