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Joseph Baker - One of the best experts on this subject based on the ideXlab platform.
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Heterogeneity in Community Size Effects: Exploring Variations in the Production of National Hockey League Draftees Between Canadian Cities.
Frontiers in psychology, 2019Co-Authors: Lou Farah, Joseph Baker, Jörg Schorer, Nick WattieAbstract: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 = 516), 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 (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.
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the birthplace effect in national hockey league Draftees exploring between city variability trends in athlete development
Journal of Exercise Movement and Sport (SCAPPS refereed abstracts repository), 2016Co-Authors: Lojain Farah, Joseph Baker, Jörg Schorer, Nick WattieAbstract:The birthplace effect describes the over-representation of high performance athletes from regions with medium-to-large population sizes, and the under-representation of athletes from regions with very small and very large population sizes (Cote et al., 2006). However, it is not clear how homogenous regions are within population categories ( 1,000,000) with respect to athlete development. Birthplace data were collected for players drafted into the National Hockey League from 2000-2014 from 6 provincial regions: British Columbia (n=191), Alberta (n=218), Central Provinces (n=218), Ontario (n = 562), Quebec (n = 242), and Atlantic Provinces (n=74). For each provincial region, variability within each population category was explored using mean, standard deviation (SD) and min/max values by comparing the number of athletes that emerged from each city within each population category. Inferential statistics were not run because these were complete populations. Overall, little variability existed within the 4 smallest population categories. Greater variability existed between cities within the larger population categories. For example, in Ontario the five cities within the 250,000-499,999 population category in Ontario produced an average of 20.6 players with a SD of 12.2 and a range of 4 to 37, and the four cities with the 500,000-999,999 population category produced an average of 31.8 players with a SD of 38.2 and a range of 3 to 87. These results reinforce the necessity to study the environmental constraints that make specific regions within population categories more and less conducive to athlete development, and that it may be necessary to reconsider the categorization methodology (i.e., population categories) currently used.
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developmental contexts and sporting success birth date and birthplace effects in national hockey league Draftees 2000 2005
British Journal of Sports Medicine, 2007Co-Authors: Joseph Baker, Jane A LoganAbstract:Objectives: To examine relative age and birth place effects in hockey players drafted to play in the National Hockey League (NHL) between 2000 and 2005 and determine whether these factors influenced when players were chosen in the draft. Methods: 1013 North American Draftees were evaluated from the official NHL website, which provided birthplace, date of birth and selection order in the draft. Population size was collected from Canadian and American census information. Athletes were divided into four quartiles on the basis of selection date to define age cohorts in hockey. Data between the Canadian and American players were also compared to see if the optimal city sizes differed between the two nations. Results: Relative age and birthplace effects were found, although the optimal city size found was dissimilar to that found in previous studies. Further, there were inconsistencies between the Canadian and American data. Conclusion: Contextual factors such as relative age and size of birthplace have a significant effect on likelihood of being selected in the NHL draft.
Nick Wattie - One of the best experts on this subject based on the ideXlab platform.
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Heterogeneity in Community Size Effects: Exploring Variations in the Production of National Hockey League Draftees Between Canadian Cities.
Frontiers in psychology, 2019Co-Authors: Lou Farah, Joseph Baker, Jörg Schorer, Nick WattieAbstract: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 = 516), 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 (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.
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the birthplace effect in national hockey league Draftees exploring between city variability trends in athlete development
Journal of Exercise Movement and Sport (SCAPPS refereed abstracts repository), 2016Co-Authors: Lojain Farah, Joseph Baker, Jörg Schorer, Nick WattieAbstract:The birthplace effect describes the over-representation of high performance athletes from regions with medium-to-large population sizes, and the under-representation of athletes from regions with very small and very large population sizes (Cote et al., 2006). However, it is not clear how homogenous regions are within population categories ( 1,000,000) with respect to athlete development. Birthplace data were collected for players drafted into the National Hockey League from 2000-2014 from 6 provincial regions: British Columbia (n=191), Alberta (n=218), Central Provinces (n=218), Ontario (n = 562), Quebec (n = 242), and Atlantic Provinces (n=74). For each provincial region, variability within each population category was explored using mean, standard deviation (SD) and min/max values by comparing the number of athletes that emerged from each city within each population category. Inferential statistics were not run because these were complete populations. Overall, little variability existed within the 4 smallest population categories. Greater variability existed between cities within the larger population categories. For example, in Ontario the five cities within the 250,000-499,999 population category in Ontario produced an average of 20.6 players with a SD of 12.2 and a range of 4 to 37, and the four cities with the 500,000-999,999 population category produced an average of 31.8 players with a SD of 38.2 and a range of 3 to 87. These results reinforce the necessity to study the environmental constraints that make specific regions within population categories more and less conducive to athlete development, and that it may be necessary to reconsider the categorization methodology (i.e., population categories) currently used.
Jane A Logan - One of the best experts on this subject based on the ideXlab platform.
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developmental contexts and sporting success birth date and birthplace effects in national hockey league Draftees 2000 2005
British Journal of Sports Medicine, 2007Co-Authors: Joseph Baker, Jane A LoganAbstract:Objectives: To examine relative age and birth place effects in hockey players drafted to play in the National Hockey League (NHL) between 2000 and 2005 and determine whether these factors influenced when players were chosen in the draft. Methods: 1013 North American Draftees were evaluated from the official NHL website, which provided birthplace, date of birth and selection order in the draft. Population size was collected from Canadian and American census information. Athletes were divided into four quartiles on the basis of selection date to define age cohorts in hockey. Data between the Canadian and American players were also compared to see if the optimal city sizes differed between the two nations. Results: Relative age and birthplace effects were found, although the optimal city size found was dissimilar to that found in previous studies. Further, there were inconsistencies between the Canadian and American data. Conclusion: Contextual factors such as relative age and size of birthplace have a significant effect on likelihood of being selected in the NHL draft.
Joyce Christopher - One of the best experts on this subject based on the ideXlab platform.
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Sprint acceleration force-velocity-power characteristics in drafted vs non-drafted junior Australian football players: Preliminary results
'Informa UK Limited', 2021Co-Authors: Edwards Toby, Piggott Benjamin, Banyard, Harry G, Haff G. Gregory, Joyce ChristopherAbstract:© 2020 Informa UK Limited, trading as Taylor & Francis Group. This investigation aimed to compare the maximal sprint acceleration profiles of drafted and non-drafted elite junior Australian football (AF) players. Nineteen players (10 drafted and 9 non-drafted) from an elite junior AF state team participated in this study. Instantaneous velocity was measured via radar gun during maximal 30 m sprints. The velocity-time data were analysed to derive individual force-velocity-power characteristics and sprint times. No significant differences existed between groups, however drafted players reached moderately faster maximum velocity (Hedges’ g = 0.70 [−0.08; 1.48] and theoretical maximum velocity (g = 0.65 [−0.13; 1.42]) than non-drafted players indicating a superior ability to apply higher amounts of force at increasing sprinting velocity. Further, drafted players produced moderately higher absolute theoretical maximum force (g = 0.72 [−0.06; 1.50]) and absolute maximum power (g = 0.83 [0.04; 1.62]) which reflects their moderately higher body mass (g = 0.61[−0.16;1.38]). Although not significant, in this sample of elite junior AF players, those drafted into the AFL displayed greater absolute sprint acceleration characteristics and maximal velocity capabilities than their non-drafted counterparts (moderate effect size). Whether force-velocity-power characteristics can be more beneficial in differentiating sprint performance of elite junior Australian footballers compared to the traditional sprint time approach warrants further investigation with a larger sample size
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Sprint acceleration force-velocity-power characteristics in drafted vs non-drafted junior Australian football players: Preliminary results
ResearchOnline@ND, 2020Co-Authors: Edwards Toby, Piggott Benjamin, Banyard, Harry G, Haff G. Gregory, Joyce ChristopherAbstract:This investigation aimed to compare the maximal sprint acceleration profiles of drafted and non-drafted elite junior Australian football (AF) players. Nineteen players (10 drafted and 9 non-drafted) from an elite junior AF state team participated in this study. Instantaneous velocity was measured via radar gun during maximal 30 m sprints. The velocity-time data were analysed to derive individual force-velocity-power characteristics and sprint times. No significant differences existed between groups, however drafted players reached moderately faster maximum velocity (Hedges’ g = 0.70 [-0.08; 1.48] and theoretical maximum velocity (g = 0.65 [-0.13; 1.42]) than non-drafted players indicating a superior ability to apply higher amounts of force at increasing sprinting velocity. Further, drafted players produced moderately higher absolute theoretical maximum force (g = 0.72 [-0.06; 1.50]) and absolute maximum power (g = 0.83 [0.04; 1.62]) which reflects their moderately higher body mass (g = 0.61[-0.16;1.38]). Although not significant, in this sample of elite junior AF players, those drafted into the AFL displayed greater absolute sprint acceleration characteristics and maximal velocity capabilities than their non-drafted counterparts (moderate effect size). Whether force-velocity-power characteristics can be more beneficial in differentiating sprint performance of elite junior Australian footballers compared to the traditional sprint time approach warrants further investigation with a larger sample size
Lou Farah - One of the best experts on this subject based on the ideXlab platform.
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Heterogeneity in Community Size Effects: Exploring Variations in the Production of National Hockey League Draftees Between Canadian Cities.
Frontiers in psychology, 2019Co-Authors: Lou Farah, Joseph Baker, Jörg Schorer, Nick WattieAbstract: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 = 516), 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 (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.