Matches in DBpedia 2016-04 for { ?s ?p "The term relative age effect (RAE) is used to describe a bias, evident in the upper echelons of youth sport and academia, where participation is higher amongst those born early in the relevant selection period (and correspondingly lower amongst those born late in the selection period) than would be expected from the normalised distribution of live births. The selection period is usually the calendar year, the academic year or the sporting season.The term month of birth bias is also used to describe the effect and season of birth bias is used to describe similar effects driven by different hypothesised mechanisms.The bias results from the common use of age related systems, for organizing youth sports competition and academic cohorts, based on specific cut-off dates to establish eligibility for inclusion. Typically a child born after the cut-off date is included in a cohort and a child born before the cut-off date is excluded from it.The most commonly used cut-off date for youth international sporting competition is 1 January. The IOC and FIFA and the 6 international football confederations (AFC, CAF, CONCACAF, CONMEBOL, OFC and UEFA) all use 1 January as their administrative cut-off date when determining an athlete's eligibility to compete in youth competitions, children born before a specified cut-off date are excluded.Cut-off dates for academic cohort structuring, including the setting of academic years, are usually determined by national education authorities and tend to be based on autumn start dates, so August or September cut-off dates are common in the Northern Hemisphere and February or March cut-off dates are common in the Southern Hemisphere. This tendency reflects the historical need for children to be involved in summer-time agricultural work with school starting after harvesting.Malcolm Gladwell's book Outliers: The Story of Success and SuperFreakonomics by Steven Levitt and Stephen Dubner have popularised the issue in respect of Canadian ice-hockey players, European football players and US Major League baseball players.The expected distribution of births in any given month across a population correlates closely to the number of days in the month, with February as the shortest month having the fewest births. The first graph shows the distribution of births, by month, for the European Union over the ten years from 2000 to 2009. There is a slight but clearly perceptible increase in the birth rate in the summer months.A ‘relative age effect’ is illustrated in the second graph by the month of birth distribution of over 4,000 youth players involved in the qualifying squads for U17, U19 and U21 tournaments organised by UEFA in 2010/11.A ‘relative age effect’ in academia is illustrated in the third graph which shows the % deviation from month of birth profile norms evident in graduations from Oxford University over a 10-year period. Academic relative age effects seem to be moderated by culture.Whilst an over-representation of early-born participation is evident in the aspirational fields of elite sport and education there is also evidence of a corresponding disproportionate over-representation of late-born children in epidemiologically defined cohorts exhibiting conditions such as ADHD, schizophrenia and obesity."@en }
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- Relative_age_effect abstract "The term relative age effect (RAE) is used to describe a bias, evident in the upper echelons of youth sport and academia, where participation is higher amongst those born early in the relevant selection period (and correspondingly lower amongst those born late in the selection period) than would be expected from the normalised distribution of live births. The selection period is usually the calendar year, the academic year or the sporting season.The term month of birth bias is also used to describe the effect and season of birth bias is used to describe similar effects driven by different hypothesised mechanisms.The bias results from the common use of age related systems, for organizing youth sports competition and academic cohorts, based on specific cut-off dates to establish eligibility for inclusion. Typically a child born after the cut-off date is included in a cohort and a child born before the cut-off date is excluded from it.The most commonly used cut-off date for youth international sporting competition is 1 January. The IOC and FIFA and the 6 international football confederations (AFC, CAF, CONCACAF, CONMEBOL, OFC and UEFA) all use 1 January as their administrative cut-off date when determining an athlete's eligibility to compete in youth competitions, children born before a specified cut-off date are excluded.Cut-off dates for academic cohort structuring, including the setting of academic years, are usually determined by national education authorities and tend to be based on autumn start dates, so August or September cut-off dates are common in the Northern Hemisphere and February or March cut-off dates are common in the Southern Hemisphere. This tendency reflects the historical need for children to be involved in summer-time agricultural work with school starting after harvesting.Malcolm Gladwell's book Outliers: The Story of Success and SuperFreakonomics by Steven Levitt and Stephen Dubner have popularised the issue in respect of Canadian ice-hockey players, European football players and US Major League baseball players.The expected distribution of births in any given month across a population correlates closely to the number of days in the month, with February as the shortest month having the fewest births. The first graph shows the distribution of births, by month, for the European Union over the ten years from 2000 to 2009. There is a slight but clearly perceptible increase in the birth rate in the summer months.A ‘relative age effect’ is illustrated in the second graph by the month of birth distribution of over 4,000 youth players involved in the qualifying squads for U17, U19 and U21 tournaments organised by UEFA in 2010/11.A ‘relative age effect’ in academia is illustrated in the third graph which shows the % deviation from month of birth profile norms evident in graduations from Oxford University over a 10-year period. Academic relative age effects seem to be moderated by culture.Whilst an over-representation of early-born participation is evident in the aspirational fields of elite sport and education there is also evidence of a corresponding disproportionate over-representation of late-born children in epidemiologically defined cohorts exhibiting conditions such as ADHD, schizophrenia and obesity.".
- Q7310781 abstract "The term relative age effect (RAE) is used to describe a bias, evident in the upper echelons of youth sport and academia, where participation is higher amongst those born early in the relevant selection period (and correspondingly lower amongst those born late in the selection period) than would be expected from the normalised distribution of live births. The selection period is usually the calendar year, the academic year or the sporting season.The term month of birth bias is also used to describe the effect and season of birth bias is used to describe similar effects driven by different hypothesised mechanisms.The bias results from the common use of age related systems, for organizing youth sports competition and academic cohorts, based on specific cut-off dates to establish eligibility for inclusion. Typically a child born after the cut-off date is included in a cohort and a child born before the cut-off date is excluded from it.The most commonly used cut-off date for youth international sporting competition is 1 January. The IOC and FIFA and the 6 international football confederations (AFC, CAF, CONCACAF, CONMEBOL, OFC and UEFA) all use 1 January as their administrative cut-off date when determining an athlete's eligibility to compete in youth competitions, children born before a specified cut-off date are excluded.Cut-off dates for academic cohort structuring, including the setting of academic years, are usually determined by national education authorities and tend to be based on autumn start dates, so August or September cut-off dates are common in the Northern Hemisphere and February or March cut-off dates are common in the Southern Hemisphere. This tendency reflects the historical need for children to be involved in summer-time agricultural work with school starting after harvesting.Malcolm Gladwell's book Outliers: The Story of Success and SuperFreakonomics by Steven Levitt and Stephen Dubner have popularised the issue in respect of Canadian ice-hockey players, European football players and US Major League baseball players.The expected distribution of births in any given month across a population correlates closely to the number of days in the month, with February as the shortest month having the fewest births. The first graph shows the distribution of births, by month, for the European Union over the ten years from 2000 to 2009. There is a slight but clearly perceptible increase in the birth rate in the summer months.A ‘relative age effect’ is illustrated in the second graph by the month of birth distribution of over 4,000 youth players involved in the qualifying squads for U17, U19 and U21 tournaments organised by UEFA in 2010/11.A ‘relative age effect’ in academia is illustrated in the third graph which shows the % deviation from month of birth profile norms evident in graduations from Oxford University over a 10-year period. Academic relative age effects seem to be moderated by culture.Whilst an over-representation of early-born participation is evident in the aspirational fields of elite sport and education there is also evidence of a corresponding disproportionate over-representation of late-born children in epidemiologically defined cohorts exhibiting conditions such as ADHD, schizophrenia and obesity.".