Predicting higher education outcomes and implications for a postsecondary institution ratings system

Eddie G. Walker

    Research output: Contribution to journalArticlepeer-review

    2 Scopus citations


    The accountability of colleges and universities is a high priority for those making policy decisions. The purpose of this study was to determine institutional characteristics predicting retention rates, graduation rates and transfer-out rates using publicly available data from the US Department of Education. Using regression analysis, it was determined there are 14 predictors of the full-time retention rate, 7 predictors of the part-time retention rate, 15 predictors of the graduation rate and 12 predictors of transfer-out rates. Institutions and policymakers could use the results of this analysis to determine the policies that would be beneficial to improving the analysed outcomes. All four analyses indicate good fit with R2 ranging from.273 to.828. Some possible policy implications include addressing selectivity if institutions want to improve retention rates and addressing affordability to improve retention and graduation rates.

    Original languageEnglish (US)
    Pages (from-to)422-433
    Number of pages12
    JournalJournal of Higher Education Policy and Management
    Issue number4
    StatePublished - Jul 3 2016

    Bibliographical note

    Publisher Copyright:
    © 2016 Association for Tertiary Education Management and the LH Martin Institute for Tertiary Education Leadership and Management.

    Copyright 2016 Elsevier B.V., All rights reserved.


    • Federal rating system
    • graduation rates
    • retention rates
    • transfer-out rates


    Dive into the research topics of 'Predicting higher education outcomes and implications for a postsecondary institution ratings system'. Together they form a unique fingerprint.

    Cite this