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Umut Doğan

 al., 2003 ). Within-sport behavioral checklists ( Martin et al., 1997 ) and performance profiling ( Butler & Hardy, 1992 ) have resolved some issues that the conventional scales and across-sport behavioral inventories have in terms of applied relevance. For instance, within-sport behavioral checklists focus

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Simon A. Rogers, Chris S. Whatman, Simon N. Pearson, and Andrew E. Kilding

sprinting velocity ( v max ). 2 Recently, profiling and monitoring of running economy (RE) and v max has seen increased interest in mechanical stiffness. Mechanical stiffness is defined as an expression of a systems compressibility during the application of force, such as ground interactions in running

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Vicky L. Goosey-Tolfrey, Sonja de Groot, Keith Tolfrey, and Tom A.W. Paulson

 m during matches. 3 , 4 Thus, both anaerobic and aerobic proficiencies require attention for physical preparation. 5 , 6 Benchmarking and profiling of WR players requires reliable performance tests that provide a valid representation of the physical competencies specific to on-court performance

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Jolan Kegelaers, Janneke Wikkerink, and Raôul R.D. Oudejans

, psychological profiling or assessment can be used to facilitate and monitor the development of these characteristics and ultimately optimize talent development ( Hill et al., 2019 ; Rees et al., 2016 ). With such a psychological assessment, we refer to the structured and systematic measuring of psychological

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Nick Dobbin, Jamie Highton, Samantha L. Moss, and Craig Twist

profiles at senior compared with youth and academy standards, and all but 10-m sprint time were able to discriminate between youth, academy, and senior players. The proposed testing battery is sensitive and can differentiate anthropometric and physical profiles within positional groups between youth

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Barbara E. Bechter, James A. Dimmock, Joshua L. Howard, Peter R. Whipp, and Ben Jackson

modeling alternative—to this and other “variable-centered” approaches—is to consider all motivational regulations simultaneously within a “person-centered” approach. Person-centered analyses enable researchers to identify homogenous groups (or profiles) of participants according to patterns that they

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David Sánchez-Oliva, Antonio L. Palmeira, Eliana V. Carraça, Pedro J. Teixeira, David Markland, and Marlene N. Silva

variety of ways by different individuals. The person-centered approach allows for an evaluation of complex interactions among variables and the identification of how motivational strategies are organized at the within-person level. Specifically, the latent profile approach is used to identify subgroups of

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Stephen Shannon, Garry Prentice, and Gavin Breslin

relationships between people on the aforesaid interactions between needs-supportive and needs-controlling perceptions ( Myers, Ntoumanis, Gunnell, Gucciardi, & Lee, 2018 ). Using latent profile analysis (LPA), the interaction effects in Figure  1 are calculated in a mixture model to extract unobserved latent

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Harry G. Banyard, Kazunori Nosaka, Alex D. Vernon, and G. Gregory Haff

demonstrated an inverse linear relationship exists between load and velocity (load–velocity profile [LVP]), meaning that if maximal effort is given for the concentric phase of a lift, heavier loads cannot be lifted with the same velocity as lighter loads. 4 – 8 Furthermore, if maximal concentric effort is

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Jing Dong Liu and Pak-Kwong Chung

-related motivation among secondary school students ( Barkoukis, Ntoumanis, & Thogersen-Ntoumani, 2010 ; Ntoumanis, Barkoukis, & Thogersen-Ntoumani, 2009 ). Therefore, investigation on the relationship between student PE motivational profiles and student PE experiences will be beneficial to our understanding of the