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Predictors of Academic Success in an Early College Entrance Program.

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Title: Predictors of Academic Success in an Early College Entrance Program.
Authors: Earls, Samuel W.1 (AUTHOR), Rinn, Anne N.1 (AUTHOR) anne.rinn@unt.edu, Shen, Yuyang1 (AUTHOR)
Source: Journal for the Education of the Gifted. Mar2026, Vol. 49 Issue 1, p30-66. 37p.
Subject Terms: *Grade point average, *ACT Assessment, *Academic achievement, *School entrance requirements, *Advanced placement programs (Education), Ethnicity, Mathematical variables, Neighborhoods
Abstract: This exploratory study investigated commonly relied-upon admissions data points to see if factors, such as graduation and early college entrance program GPA, predicted academic success. Data from nearly 800 students admitted over 11 years to a state-supported residential early college entrance program located at a large Southern university in the United States were utilized for this study. Logistic regression failed to yield a model that could accurately predict whether a student would graduate from the program. Multiple regression models showed that high school GPA and ACT scores were predictive of performance and that factors like locality and ethnicity can have predictive power as well. However, the low variance in performance explained by the variables included in this study demonstrates that commonly relied-upon admissions data only provide limited information about a student's likelihood of success in an early college entrance program. [ABSTRACT FROM AUTHOR]
Copyright of Journal for the Education of the Gifted is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
FullText Text:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 191613618
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Predictors of Academic Success in an Early College Entrance Program.
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  Data: <searchLink fieldCode="AR" term="%22Earls%2C+Samuel+W%2E%22">Earls, Samuel W.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rinn%2C+Anne+N%2E%22">Rinn, Anne N.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> anne.rinn@unt.edu</i><br /><searchLink fieldCode="AR" term="%22Shen%2C+Yuyang%22">Shen, Yuyang</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+for+the+Education+of+the+Gifted%22">Journal for the Education of the Gifted</searchLink>. Mar2026, Vol. 49 Issue 1, p30-66. 37p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Grade+point+average%22">Grade point average</searchLink><br />*<searchLink fieldCode="DE" term="%22ACT+Assessment%22">ACT Assessment</searchLink><br />*<searchLink fieldCode="DE" term="%22Academic+achievement%22">Academic achievement</searchLink><br />*<searchLink fieldCode="DE" term="%22School+entrance+requirements%22">School entrance requirements</searchLink><br />*<searchLink fieldCode="DE" term="%22Advanced+placement+programs+%28Education%29%22">Advanced placement programs (Education)</searchLink><br /><searchLink fieldCode="DE" term="%22Ethnicity%22">Ethnicity</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+variables%22">Mathematical variables</searchLink><br /><searchLink fieldCode="DE" term="%22Neighborhoods%22">Neighborhoods</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This exploratory study investigated commonly relied-upon admissions data points to see if factors, such as graduation and early college entrance program GPA, predicted academic success. Data from nearly 800 students admitted over 11 years to a state-supported residential early college entrance program located at a large Southern university in the United States were utilized for this study. Logistic regression failed to yield a model that could accurately predict whether a student would graduate from the program. Multiple regression models showed that high school GPA and ACT scores were predictive of performance and that factors like locality and ethnicity can have predictive power as well. However, the low variance in performance explained by the variables included in this study demonstrates that commonly relied-upon admissions data only provide limited information about a student's likelihood of success in an early college entrance program. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal for the Education of the Gifted is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=191613618
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      – Type: doi
        Value: 10.1177/01623532251410626
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      – Code: eng
        Text: English
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        PageCount: 37
        StartPage: 30
    Subjects:
      – SubjectFull: Grade point average
        Type: general
      – SubjectFull: ACT Assessment
        Type: general
      – SubjectFull: Academic achievement
        Type: general
      – SubjectFull: School entrance requirements
        Type: general
      – SubjectFull: Advanced placement programs (Education)
        Type: general
      – SubjectFull: Ethnicity
        Type: general
      – SubjectFull: Mathematical variables
        Type: general
      – SubjectFull: Neighborhoods
        Type: general
    Titles:
      – TitleFull: Predictors of Academic Success in an Early College Entrance Program.
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            NameFull: Earls, Samuel W.
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            NameFull: Rinn, Anne N.
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            NameFull: Shen, Yuyang
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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