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The Value of Predictive Validity Studies and the Need for 'Fit-for-Purpose' Data to Inform Postsecondary Admissions Policies and Decision Making

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Title: The Value of Predictive Validity Studies and the Need for 'Fit-for-Purpose' Data to Inform Postsecondary Admissions Policies and Decision Making
Language: English
Authors: Shaw, Stuart, Rodeiro, Carmen Vidal
Source: Strategic Enrollment Management Quarterly. Jan 2019 6(4):23-39.
Availability: American Association of Collegiate Registrars and Admissions Officers. One Dupont Circle NW Suite 520, Washington, DC 20036. Tel: 301-490-7651; e-mail: pubs@aacrao.org; Web site: https://www.aacrao.org/research-publications/quarterly-journals/sem-quarterly
Peer Reviewed: Y
Page Count: 17
Publication Date: 2019
Document Type: Journal Articles
Reports - Descriptive
Education Level: Postsecondary Education
Higher Education
High Schools
Secondary Education
Descriptors: Predictive Validity, Educational Research, College Readiness, Postsecondary Education, College Admission, Admission Criteria, Decision Making, Enrollment Management, High School Graduates, Academic Achievement, Selective Admission
ISSN: 2325-4750
Abstract: While college readiness continues to dominate the educational landscape in the United States, students still leave high school not ready for college. As a consequence, admissions officers need to consider all available indicators (e.g., high school performance, admissions test scores, college preparatory courses) in order to effectively evaluate prospective student applications. Predictive validity studies are one of the inherent mechanisms in the admission process and can be used to predict college performance and success. These studies ultimately are guided by the availability of data, which can be challenging to identify and procure. Although predictive validity research has played an important role in informing admissions policy in recent years, few published works appear to include a full, informative account of its role in helping to establish college readiness and the importance of identifying different sources of data for doing so. This paper aims to fill that gap, bringing together a detailed explanation of the role of predictive validity studies to investigate college readiness and success and the identification of "fit-for-purpose" data to carry out such studies and inform postsecondary admissions policy and decisions.
Abstractor: As Provided
Entry Date: 2020
Access URL: https://www.aacrao.org/research-publications/quarterly-journals/sem-quarterly/issue/volume-6/issue-4
Accession Number: EJ1241057
Database: ERIC
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  Data: The Value of Predictive Validity Studies and the Need for 'Fit-for-Purpose' Data to Inform Postsecondary Admissions Policies and Decision Making
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  Data: <searchLink fieldCode="AR" term="%22Shaw%2C+Stuart%22">Shaw, Stuart</searchLink><br /><searchLink fieldCode="AR" term="%22Rodeiro%2C+Carmen+Vidal%22">Rodeiro, Carmen Vidal</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Strategic+Enrollment+Management+Quarterly%22"><i>Strategic Enrollment Management Quarterly</i></searchLink>. Jan 2019 6(4):23-39.
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  Data: American Association of Collegiate Registrars and Admissions Officers. One Dupont Circle NW Suite 520, Washington, DC 20036. Tel: 301-490-7651; e-mail: pubs@aacrao.org; Web site: https://www.aacrao.org/research-publications/quarterly-journals/sem-quarterly
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  Data: 17
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  Data: Journal Articles<br />Reports - Descriptive
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  Data: <searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22High+Schools%22">High Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Secondary+Education%22">Secondary Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Predictive+Validity%22">Predictive Validity</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22College+Readiness%22">College Readiness</searchLink><br /><searchLink fieldCode="DE" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink><br /><searchLink fieldCode="DE" term="%22College+Admission%22">College Admission</searchLink><br /><searchLink fieldCode="DE" term="%22Admission+Criteria%22">Admission Criteria</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+Making%22">Decision Making</searchLink><br /><searchLink fieldCode="DE" term="%22Enrollment+Management%22">Enrollment Management</searchLink><br /><searchLink fieldCode="DE" term="%22High+School+Graduates%22">High School Graduates</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Selective+Admission%22">Selective Admission</searchLink>
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  Data: 2325-4750
– Name: Abstract
  Label: Abstract
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  Data: While college readiness continues to dominate the educational landscape in the United States, students still leave high school not ready for college. As a consequence, admissions officers need to consider all available indicators (e.g., high school performance, admissions test scores, college preparatory courses) in order to effectively evaluate prospective student applications. Predictive validity studies are one of the inherent mechanisms in the admission process and can be used to predict college performance and success. These studies ultimately are guided by the availability of data, which can be challenging to identify and procure. Although predictive validity research has played an important role in informing admissions policy in recent years, few published works appear to include a full, informative account of its role in helping to establish college readiness and the importance of identifying different sources of data for doing so. This paper aims to fill that gap, bringing together a detailed explanation of the role of predictive validity studies to investigate college readiness and success and the identification of "fit-for-purpose" data to carry out such studies and inform postsecondary admissions policy and decisions.
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RecordInfo BibRecord:
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 23
    Subjects:
      – SubjectFull: Predictive Validity
        Type: general
      – SubjectFull: Educational Research
        Type: general
      – SubjectFull: College Readiness
        Type: general
      – SubjectFull: Postsecondary Education
        Type: general
      – SubjectFull: College Admission
        Type: general
      – SubjectFull: Admission Criteria
        Type: general
      – SubjectFull: Decision Making
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      – SubjectFull: Enrollment Management
        Type: general
      – SubjectFull: High School Graduates
        Type: general
      – SubjectFull: Academic Achievement
        Type: general
      – SubjectFull: Selective Admission
        Type: general
    Titles:
      – TitleFull: The Value of Predictive Validity Studies and the Need for 'Fit-for-Purpose' Data to Inform Postsecondary Admissions Policies and Decision Making
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