{"title":"利用IPEDS建模大学留校率和毕业率","authors":"Chen Zong, Alan Davis","doi":"10.1177/15210251221074379","DOIUrl":null,"url":null,"abstract":"This study aimed to replicate, revise, and validate the model of Institutional Performance in Graduation Rate developed by Fung based on Tinto and Astin theories. The sample included 706 public, 4-year, Title IV postsecondary institutions in the United States. Two CFA-SEM models were conducted with the IPEDS 2011–2017 data. The relationships among student background, finance, academic and social environment, retention rate, and graduation rate were reevaluated and remodeled. The final best fitting model reflects possible changes in the factors of student finance and academic environment in higher education since 2010. The practical application of the best fitting model was discussed, including the evaluation of an institution's graduation rate performance based on four latent factors.","PeriodicalId":47066,"journal":{"name":"Journal of College Student Retention-Research Theory & Practice","volume":"59 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling University Retention and Graduation Rates Using IPEDS\",\"authors\":\"Chen Zong, Alan Davis\",\"doi\":\"10.1177/15210251221074379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aimed to replicate, revise, and validate the model of Institutional Performance in Graduation Rate developed by Fung based on Tinto and Astin theories. The sample included 706 public, 4-year, Title IV postsecondary institutions in the United States. Two CFA-SEM models were conducted with the IPEDS 2011–2017 data. The relationships among student background, finance, academic and social environment, retention rate, and graduation rate were reevaluated and remodeled. The final best fitting model reflects possible changes in the factors of student finance and academic environment in higher education since 2010. The practical application of the best fitting model was discussed, including the evaluation of an institution's graduation rate performance based on four latent factors.\",\"PeriodicalId\":47066,\"journal\":{\"name\":\"Journal of College Student Retention-Research Theory & Practice\",\"volume\":\"59 1\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2022-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of College Student Retention-Research Theory & Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/15210251221074379\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of College Student Retention-Research Theory & Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/15210251221074379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Modeling University Retention and Graduation Rates Using IPEDS
This study aimed to replicate, revise, and validate the model of Institutional Performance in Graduation Rate developed by Fung based on Tinto and Astin theories. The sample included 706 public, 4-year, Title IV postsecondary institutions in the United States. Two CFA-SEM models were conducted with the IPEDS 2011–2017 data. The relationships among student background, finance, academic and social environment, retention rate, and graduation rate were reevaluated and remodeled. The final best fitting model reflects possible changes in the factors of student finance and academic environment in higher education since 2010. The practical application of the best fitting model was discussed, including the evaluation of an institution's graduation rate performance based on four latent factors.