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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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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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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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Teun van Erp, Marco Hoozemans, Carl Foster and Jos J. de Koning

, and thus, excluding the middle group enhances contrast in the analysis. Linear regression analyses were used to investigate whether training intensity (low or high) affects the association between kJ spent and the various other TLs (sRPE, luTRIMP, and TSS). Generalized estimating equations with an

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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

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Robert McCunn, Hugh H.K. Fullagar, Sean Williams, Travis J. Halseth, John A. Sampson and Andrew Murray

incidence rates was analyzed using a generalized linear mixed-effects model (GLMM), with a Poisson distribution, log-linear link function, and offset for hours of training exposure or number of game snaps (for training and game injuries, respectively). This mixed-effects model was selected for its ability

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Nili Steinberg, Gordon Waddington, Roger Adams, Janet Karin and Oren Tirosh

female dancers practice their PB in relaxed conditions with different types of shoes and surfaces; and (e) with most studies focused on static postural stability, whereas most activities of dancers are dynamic in nature, both static and dynamic postural stability should be assessed and generalized into

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Corbin A. Hedt, S. Brett Holland, Bradley S. Lambert, Joshua D. Harris and Patrick C. McCulloch

, Q10, and Q15; Appendix ), raw data were assessed and priority scores were generated for analysis. A generalized linear mixed model for nonparametric data was utilized and repeated across criteria response with a Bonferroni post hoc adjustment for pairwise comparisons made within and between groups