The explanatory power of Carnegie Classification in predicting engagement indicators: a multilevel analysis

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  • Enes Gök
  • Burak Aydin

The study aims to explore the effect of the type of higher education institution on students’ engagement. The meta-analyses of multilevel regression coefficients revealed significant relationships between the type of higher education institution and student engagement indicators across the years from 2013 to 2019. Comparing different types of higher education institutions with the base category, our findings revealed significant differences in effective teaching practices, discussion with diverse others, and student-faculty interaction consistent throughout the years. These findings are expected to provide insights for institutional administrators, policymakers, and researchers given that student engagement in higher education has become an indicator of quality all around the world.

Original languageEnglish
Article number1305747
JournalFrontiers in Education
Number of pages9
Publication statusPublished - 08.01.2024

Bibliographical note

Funding Information:
The authors declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the Scientific and Technological Research Council of Türkiye (Project ID: 1059B192000009). This publication was funded by the Open Access Publication Fund of the Leuphana University Lüneburg.

Publisher Copyright:
Copyright © 2024 Gök and Aydin.

    Research areas

  • assessment, Carnegie Classification, higher education, multilevel analysis, student engagement
  • Educational science