{"id":{"repo_id":"mississippi","oai_identifier":"oai:egrove.olemiss.edu:etd-2551"},"canonical_url":"https://search.dev.ndltd.org/etd/mississippi/oai:egrove.olemiss.edu:etd-2551","repository":{"repo_id":"mississippi","name":"University of Mississippi","base_url":"https://egrove.olemiss.edu/do/oai/"},"display":{"title":"Apply Now!: Utilizing Application Date to Predict College Enrollment","abstract":"Using Perna’s (2006) college choice model as the conceptual framework, the researcher utilized two data analyses to complete this study. First, multiple regressions were performed on three groups of variables: entrance examination, core high school gpa, and cumulative high school gpa; gender, ethnicity, and residency; and first-generation status and Mississippi congressional district. Second, a chi square test was completed to discover how likely it is that a student’s application date is related to the acceptance rate (likelihood of acceptance) and yield rate (likelihood of matriculating) of the University of Mississippi freshman class.","abstract_html":"Using Perna’s (2006) college choice model as the conceptual framework, the researcher utilized two data analyses to complete this study. First, multiple regressions were performed on three groups of variables: entrance examination, core high school gpa, and cumulative high school gpa; gender, ethnicity, and residency; and first-generation status and Mississippi congressional district. Second, a chi square test was completed to discover how likely it is that a student’s application date is related to the acceptance rate (likelihood of acceptance) and yield rate (likelihood of matriculating) of the University of Mississippi freshman class.","abstract_has_math":false,"creators":["Phillips, Jennifer Leigh"],"institution":null,"degree_name":"Ph.D. in Higher Education","degree_level":"Dissertation","degree_discipline":"Education","degree_department":null,"school":null,"contributors":["Amy E. 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First, multiple regressions were performed on three groups of variables: entrance examination, core high school gpa, and cumulative high school gpa; gender, ethnicity, and residency; and first-generation status and Mississippi congressional district. Second, a chi square test was completed to discover how likely it is that a student’s application date is related to the acceptance rate (likelihood of acceptance) and yield rate (likelihood of matriculating) of the University of Mississippi freshman class."]},{"key":"dc:title","label":"Title","values":["Apply Now!: Utilizing Application Date to Predict College Enrollment"]}]}],"canonical_facts":{"dc:contributor":["Amy E. Wells Dolan","Katie Busby","David Rock"],"dc:creator":["Phillips, Jennifer Leigh"],"dc:date.available":["2020-01-23T08:00:00Z"],"dc:description.abstract":["Using Perna’s (2006) college choice model as the conceptual framework, the researcher utilized two data analyses to complete this study. First, multiple regressions were performed on three groups of variables: entrance examination, core high school gpa, and cumulative high school gpa; gender, ethnicity, and residency; and first-generation status and Mississippi congressional district. Second, a chi square test was completed to discover how likely it is that a student’s application date is related to the acceptance rate (likelihood of acceptance) and yield rate (likelihood of matriculating) of the University of Mississippi freshman class."],"dc:identifier":["https://egrove.olemiss.edu/etd/1552"],"dc:subject":["admissions","application","enrollment","higher education"],"dc:title":["Apply Now!: Utilizing Application Date to Predict College Enrollment"],"thesis:degree_discipline":["Education"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D. in Higher Education"]},"updated_at":"2026-07-24T03:07:00Z"}