Zobrazeno 1 - 5
of 5
pro vyhledávání: '"profiilit (tieto)"'
The aim of the present study was to identify profiles of elite athlete mental well- and ill-being and study how the profiles (i.e., subgroups of athletes) differed in sport-related demands and resources. A total of 259 Finnish elite athletes (n = 170
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::411a3fa222a4876d386c579c97ad8375
https://trepo.tuni.fi/handle/10024/142782
https://trepo.tuni.fi/handle/10024/142782
Autor:
Veli-Matti Karhulahti, Jukka Vahlo
Publikováno v:
Modes of Esports Engagement in Overwatch ISBN: 9783030827663
We pursue Overwatch player profiles via a statistical cluster analysis of survey data from the UK (N = 1089) and the USA (N = 417). The profiles are based on the players’ activity, challenge, and experiential preferences as well as motivations. Our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90f34ce90408d622afb3ea16ee203b80
https://doi.org/10.1007/978-3-030-82767-0_2
https://doi.org/10.1007/978-3-030-82767-0_2
Autor:
Mullen, Jenny, Bækken, Lasse Vestli, Törmäkangas, Timo, Ekström, Lena, Ericsson, Magnus, Hullstein, Ingunn R., J Schulze, Jenny
The steroidal module of the Athlete Biological Passport (ABP) aims to detect doping with endogenous steroids, e.g. testosterone (T), by longitudinally monitoring several biomarkers. These biomarkers are ratios combined of urinary concentrations of te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::e16fb1b7b91f013b6ad21766f319e8a0
http://urn.fi/URN:NBN:fi:jyu-202002192130
http://urn.fi/URN:NBN:fi:jyu-202002192130
Autor:
Sara Diogo, Terhi Nokkala
Research into differentiation and profiling of knowledge producing institutions through the lenses of institutional logics and field embeddedness have proliferated in recent years. By discussing this process in the context of research groups, as thos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9af25b0845783bf18de64dd896c51f39
http://urn.fi/URN:NBN:fi:jyu-201908143825
http://urn.fi/URN:NBN:fi:jyu-201908143825
Latent profile analysis (LPA) is a person-centered method commonly used in organizational research to identify homogeneous subpopulations of employees within a heterogeneous population. However, in the case of nested data structures, such as employee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::439f31be9c32acde31775e369b7d1b55
http://urn.fi/URN:NBN:fi:jyu-201812185201
http://urn.fi/URN:NBN:fi:jyu-201812185201