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Alex V. Rowlands

harmonize these data would lead to improved precision and generalizability of recommendations for health. While the first of these 2 challenges (classification of behaviors) requires specialist mathematical expertise, everyone assessing physical activity with a raw acceleration device can contribute to the

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Levi Heimans, Wouter R. Dijkshoorn, Marco J.M. Hoozemans and Jos J. de Koning

position, the drag fraction was estimated using generalized estimation equations (GEE), a regression analysis technique that accounts for the dependency of repeated measurements. 22 For all 3 drafting positions, a regression equation using GEE was established with the Ap of the drafter and the Ap of the

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Moslem Bahmani, Jed A. Diekfuss, Robabeh Rostami, Nasim Ataee and Farhad Ghadiri

performance and learning. This framework, however, is mostly derived from research examining novice individuals. Our study was conducted using international shooters to explore the generalizability of some predictions of OPTIMAL theory to a population of highly skilled individuals. According to OPTIMAL theory

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Richard Larouche, Joel D. Barnes, Sébastien Blanchette, Guy Faulkner, Negin A. Riazi, François Trudeau and Mark S. Tremblay

, IM, and PA in the imputation models ( 14 , 45 ). The full list of variables included in the multiple imputation protocol is presented in Supplementary Material 1 (available online). To address the main study objectives, we built 5 sets of gender-stratified linear mixed models or generalized linear

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

: time spent sedentary (0–99 counts) and in light-intensity PA (100–759 counts), moderate lifestyle PA (760–1951), moderate walk PA (1952–5724 counts), and vigorous-intensity PA (≥5725 counts). Using the derivation data set, generalized linear regression models (GLRM), adjusted for sex, race, and age

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Maria K. Talarico, Robert C. Lynall, Timothy C. Mauntel, Erin B. Wasserman, Darin A. Padua and Jason P. Mihalik

; s APML , covariance; s ML , SD of ML time series. a Sacrum vertical distance calculated for individual squat then divided by individual squat time. All squats were included in the analyses. For CoP variables, random-intercepts generalized linear mixed models were run to account for multiple squats

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Tara K. Scanlan, David G. Russell, T. Michelle Magyar and Larry A. Scanlan

The Sport Commitment Model was further tested using the Scanlan Collaborative Interview Method to examine its generalizability to New Zealand’s elite female amateur netball team, the Silver Ferns. Results supported or clarified Sport Commitment Model predictions, revealed avenues for model expansion, and elucidated the functions of perceived competence and enjoyment in the commitment process. A comparison and contrast of the in-depth interview data from the Silver Ferns with previous interview data from a comparable elite team of amateur male athletes allowed assessment of model external validity, tested the generalizability of the underlying mechanisms, and separated gender differences from discrepancies that simply reflected team or idiosyncratic differences.

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Øyvind Skattebo and Thomas Losnegard

random effects of competition identity, athlete identity, and athlete × season, the logistic-regression model included a multiplicative overdispersion factor instead of the model residual as in the mixed models. The generalized mixed linear models were run with the default option of allowing estimation

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Fergus O’Connor, Heidi R. Thornton, Dean Ritchie, Jay Anderson, Lindsay Bull, Alex Rigby, Zane Leonard, Steven Stern and Jonathan D. Bartlett

were developed to assess the mean difference between the absolute and relative speed thresholds. To assess the relationship between risk of injury and various individual workload exposure factors, logistic generalized additive models (GAMs) were fit. GAMs allow for the dependence between injury risk

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Nico Hofman, Jac Orie, Marco J.M. Hoozemans, Carl Foster and Jos J. de Koning

analyses were performed using generalized estimating equations (GEE). 15 This approach to regression analyses considers the measurements within subjects of subsequent years as repeated measurements, and accounts for this dependency. An exchangeable working correlation structure was used. In separate