Heterogeneity in Community Size Effects: Exploring Variations in the Production of National Hockey League Draftees Between Canadian Cities
Previous research has explored ‘community size effects’ in a multitude of sporting and regional contexts and has shown that athletes are more likely to originate from small-medium population size categories, and less likely to originate from very small or large ones. However, it is not clear whether...
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doaj-f1fe9fc7eeb94df39d96cb4b90a5ee0e2020-11-25T00:05:32ZengFrontiers Media S.A.Frontiers in Psychology1664-10782019-01-01910.3389/fpsyg.2018.02746364173Heterogeneity in Community Size Effects: Exploring Variations in the Production of National Hockey League Draftees Between Canadian CitiesLou Farah0Jörg Schorer1Joseph Baker2Nick Wattie3School of Kinesiology and Health Science, York University, Toronto, ON, CanadaInstitute of Sport Science, Carl von Ossietzky University of Oldenburg, Oldenburg, GermanyFaculty of Health Sciences, University of Ontario Institute of Technology, Oshawa, ON, CanadaFaculty of Health Sciences, University of Ontario Institute of Technology, Oshawa, ON, CanadaPrevious research has explored ‘community size effects’ in a multitude of sporting and regional contexts and has shown that athletes are more likely to originate from small-medium population size categories, and less likely to originate from very small or large ones. However, it is not clear whether the production of athletes is homogenous within population size categories. Place of birth data were collected for all Canadian born hockey players drafted into the National Hockey League (NHL) from 2000–2014 from British Columbia (N = 192), Alberta (N = 218), Saskatchewan and Manitoba (N = 216), Ontario (N = 561), Quebec (N = 241), and the Atlantic Provinces (N = 74). To explore variations in the production of draftees within population size categories, proportions of productive cities, population mean (μ), population standard deviation (σ), as well as minimum/maximum values of the number of draftees were calculated for the different categories (<2,500; 2,500–4,999; 5,000–9,999; 10,000–29,999; 30,000–99,999; 100,000–249,999; 250,000–499,999; 500,000–999,999; >1,000,000). In addition, the number of draftees produced per 1,000 residents (i.e., yield) was calculated for each city within all categories. Results showed substantial intra-categorical variability in NHL talent development; moreover, heterogeneity in draftee production existed in various degrees across provincial regions of Canada. Intra-categorical variability suggests that a single homogenous community size effect may not exist for Canadian NHL draftees, and that future research may benefit from exploring other environmental constraints on athlete development such as income, population density, and proximity to local sport clubs.https://www.frontiersin.org/article/10.3389/fpsyg.2018.02746/fullcommunity size effectathlete developmentsportexpertisecity sizeelite athletes |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lou Farah Jörg Schorer Joseph Baker Nick Wattie |
spellingShingle |
Lou Farah Jörg Schorer Joseph Baker Nick Wattie Heterogeneity in Community Size Effects: Exploring Variations in the Production of National Hockey League Draftees Between Canadian Cities Frontiers in Psychology community size effect athlete development sport expertise city size elite athletes |
author_facet |
Lou Farah Jörg Schorer Joseph Baker Nick Wattie |
author_sort |
Lou Farah |
title |
Heterogeneity in Community Size Effects: Exploring Variations in the Production of National Hockey League Draftees Between Canadian Cities |
title_short |
Heterogeneity in Community Size Effects: Exploring Variations in the Production of National Hockey League Draftees Between Canadian Cities |
title_full |
Heterogeneity in Community Size Effects: Exploring Variations in the Production of National Hockey League Draftees Between Canadian Cities |
title_fullStr |
Heterogeneity in Community Size Effects: Exploring Variations in the Production of National Hockey League Draftees Between Canadian Cities |
title_full_unstemmed |
Heterogeneity in Community Size Effects: Exploring Variations in the Production of National Hockey League Draftees Between Canadian Cities |
title_sort |
heterogeneity in community size effects: exploring variations in the production of national hockey league draftees between canadian cities |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychology |
issn |
1664-1078 |
publishDate |
2019-01-01 |
description |
Previous research has explored ‘community size effects’ in a multitude of sporting and regional contexts and has shown that athletes are more likely to originate from small-medium population size categories, and less likely to originate from very small or large ones. However, it is not clear whether the production of athletes is homogenous within population size categories. Place of birth data were collected for all Canadian born hockey players drafted into the National Hockey League (NHL) from 2000–2014 from British Columbia (N = 192), Alberta (N = 218), Saskatchewan and Manitoba (N = 216), Ontario (N = 561), Quebec (N = 241), and the Atlantic Provinces (N = 74). To explore variations in the production of draftees within population size categories, proportions of productive cities, population mean (μ), population standard deviation (σ), as well as minimum/maximum values of the number of draftees were calculated for the different categories (<2,500; 2,500–4,999; 5,000–9,999; 10,000–29,999; 30,000–99,999; 100,000–249,999; 250,000–499,999; 500,000–999,999; >1,000,000). In addition, the number of draftees produced per 1,000 residents (i.e., yield) was calculated for each city within all categories. Results showed substantial intra-categorical variability in NHL talent development; moreover, heterogeneity in draftee production existed in various degrees across provincial regions of Canada. Intra-categorical variability suggests that a single homogenous community size effect may not exist for Canadian NHL draftees, and that future research may benefit from exploring other environmental constraints on athlete development such as income, population density, and proximity to local sport clubs. |
topic |
community size effect athlete development sport expertise city size elite athletes |
url |
https://www.frontiersin.org/article/10.3389/fpsyg.2018.02746/full |
work_keys_str_mv |
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