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Predicting Postsecondary Enrollment with Secondary Student Engagement Data

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Title: Predicting Postsecondary Enrollment with Secondary Student Engagement Data
Language: English
Authors: Fraysier, Kathleen (ORCID 0000-0003-1454-4482), Reschly, Amy, Appleton, James
Source: Journal of Psychoeducational Assessment. Oct 2020 38(7):882-899.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed: Y
Page Count: 18
Publication Date: 2020
Document Type: Journal Articles
Reports - Research
Education Level: Postsecondary Education
Secondary Education
Descriptors: Predictor Variables, Enrollment, Postsecondary Education, Secondary School Students, Learner Engagement, Academic Persistence, Educational Attainment, Hierarchical Linear Modeling
DOI: 10.1177/0734282920903168
ISSN: 0734-2829
Abstract: As the economic landscape changes, a college degree has become increasingly necessary for securing employment in an information-based society. Student engagement is an important factor in predicting and preventing high school dropout, and improving student outcomes. Although the relationship between secondary school engagement and high school completion is well supported in existing research, the relationship between secondary school engagement and postsecondary enrollment and persistence is unclear. In this study, we examined whether students' engagement in high school predicts postsecondary matriculation and persistence in the first year after accounting for demographic and school-level variables. Results indicated secondary student engagement does predict postsecondary enrollment and persistence beyond academic and behavioral variables. Consistent with research among secondary students, the Future Goals and Aspirations Scale of the Student Engagement Instrument was the strongest engagement predictor. Results have implications for early warning systems and college retention efforts.
Abstractor: As Provided
Entry Date: 2021
Accession Number: EJ1291016
Database: ERIC
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  Data: Predicting Postsecondary Enrollment with Secondary Student Engagement Data
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  Data: <searchLink fieldCode="AR" term="%22Fraysier%2C+Kathleen%22">Fraysier, Kathleen</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-1454-4482">0000-0003-1454-4482</externalLink>)<br /><searchLink fieldCode="AR" term="%22Reschly%2C+Amy%22">Reschly, Amy</searchLink><br /><searchLink fieldCode="AR" term="%22Appleton%2C+James%22">Appleton, James</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Psychoeducational+Assessment%22"><i>Journal of Psychoeducational Assessment</i></searchLink>. Oct 2020 38(7):882-899.
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  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
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  Data: 18
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Secondary+Education%22">Secondary Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink><br /><searchLink fieldCode="DE" term="%22Enrollment%22">Enrollment</searchLink><br /><searchLink fieldCode="DE" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink><br /><searchLink fieldCode="DE" term="%22Secondary+School+Students%22">Secondary School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Learner+Engagement%22">Learner Engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Persistence%22">Academic Persistence</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Attainment%22">Educational Attainment</searchLink><br /><searchLink fieldCode="DE" term="%22Hierarchical+Linear+Modeling%22">Hierarchical Linear Modeling</searchLink>
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  Data: 10.1177/0734282920903168
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  Data: As the economic landscape changes, a college degree has become increasingly necessary for securing employment in an information-based society. Student engagement is an important factor in predicting and preventing high school dropout, and improving student outcomes. Although the relationship between secondary school engagement and high school completion is well supported in existing research, the relationship between secondary school engagement and postsecondary enrollment and persistence is unclear. In this study, we examined whether students' engagement in high school predicts postsecondary matriculation and persistence in the first year after accounting for demographic and school-level variables. Results indicated secondary student engagement does predict postsecondary enrollment and persistence beyond academic and behavioral variables. Consistent with research among secondary students, the Future Goals and Aspirations Scale of the Student Engagement Instrument was the strongest engagement predictor. Results have implications for early warning systems and college retention efforts.
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        Value: 10.1177/0734282920903168
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      – Text: English
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        PageCount: 18
        StartPage: 882
    Subjects:
      – SubjectFull: Predictor Variables
        Type: general
      – SubjectFull: Enrollment
        Type: general
      – SubjectFull: Postsecondary Education
        Type: general
      – SubjectFull: Secondary School Students
        Type: general
      – SubjectFull: Learner Engagement
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      – SubjectFull: Academic Persistence
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      – SubjectFull: Educational Attainment
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      – SubjectFull: Hierarchical Linear Modeling
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      – TitleFull: Predicting Postsecondary Enrollment with Secondary Student Engagement Data
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