{"title":"“五大国”会议足球项目的人才水平和专业分布","authors":"J. Watkins, Kelsey Slater","doi":"10.1080/19357397.2021.1916310","DOIUrl":null,"url":null,"abstract":"ABSTRACT\n This article investigates whether an association existed between the talent level of football student-athletes who competed at “Power Five” institutions during the 2016 season and the likelihood that they were in a clustered major. Previous literature has researched whether clustering occurs and its association with sociological variables. The researchers performed a z-test of proportions to compare the proportion of football student-athletes in a specific major to the male undergraduate students in the same major to determine if a cluster existed, then used a chi-square test to examine the association between recruiting rank and clustering. The data set includes 21 “Power Five” football programs. To measure talent level, the researchers used the composite recruiting rank from 247sports.com. Results of the study showed that football student-athletes with a recruiting rank of three stars or higher were significantly more likely to be in a clustered major at five of the 21 institutions examined.","PeriodicalId":56347,"journal":{"name":"Journal for the Study of Sports and Athletes in Education","volume":"15 1","pages":"150 - 170"},"PeriodicalIF":0.6000,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19357397.2021.1916310","citationCount":"1","resultStr":"{\"title\":\"Talent level and major distribution in “Power Five” conference football programs\",\"authors\":\"J. Watkins, Kelsey Slater\",\"doi\":\"10.1080/19357397.2021.1916310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT\\n This article investigates whether an association existed between the talent level of football student-athletes who competed at “Power Five” institutions during the 2016 season and the likelihood that they were in a clustered major. Previous literature has researched whether clustering occurs and its association with sociological variables. The researchers performed a z-test of proportions to compare the proportion of football student-athletes in a specific major to the male undergraduate students in the same major to determine if a cluster existed, then used a chi-square test to examine the association between recruiting rank and clustering. The data set includes 21 “Power Five” football programs. To measure talent level, the researchers used the composite recruiting rank from 247sports.com. Results of the study showed that football student-athletes with a recruiting rank of three stars or higher were significantly more likely to be in a clustered major at five of the 21 institutions examined.\",\"PeriodicalId\":56347,\"journal\":{\"name\":\"Journal for the Study of Sports and Athletes in Education\",\"volume\":\"15 1\",\"pages\":\"150 - 170\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2021-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/19357397.2021.1916310\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal for the Study of Sports and Athletes in Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/19357397.2021.1916310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal for the Study of Sports and Athletes in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19357397.2021.1916310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Talent level and major distribution in “Power Five” conference football programs
ABSTRACT
This article investigates whether an association existed between the talent level of football student-athletes who competed at “Power Five” institutions during the 2016 season and the likelihood that they were in a clustered major. Previous literature has researched whether clustering occurs and its association with sociological variables. The researchers performed a z-test of proportions to compare the proportion of football student-athletes in a specific major to the male undergraduate students in the same major to determine if a cluster existed, then used a chi-square test to examine the association between recruiting rank and clustering. The data set includes 21 “Power Five” football programs. To measure talent level, the researchers used the composite recruiting rank from 247sports.com. Results of the study showed that football student-athletes with a recruiting rank of three stars or higher were significantly more likely to be in a clustered major at five of the 21 institutions examined.