Academic Engagement among Criminology Students: A Structural Equation Model

Ramel B. Pepito and Rinante L. Genuba
Additional contact information
Ramel B. Pepito: University of Mindanao-Main
Rinante L. Genuba: University of Mindanao-Main

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 3, 4655-4674

Abstract: This study explores academic engagement among criminology students through a Structural Equation Model (SEM) framework, analyzing the relationships between self-efficacy, teacher behavior, and school effectiveness. Using a quantitative, non-experimental research design, data were collected from 400 criminology students in the Caraga region through validated survey instruments. Findings indicate that self-efficacy, teacher behavior, and school effectiveness significantly influence student engagement across affective, behavioral, and cognitive dimensions. Among these, school effectiveness emerged as the strongest predictor of engagement. The best-fit model demonstrates the interdependence of these factors, suggesting that fostering a supportive educational environment enhances student motivation and academic persistence. This research contributes to the understanding of student engagement in criminology education and provides insights for educators and policymakers aiming to improve academic outcomes through institutional and pedagogical interventions.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijriss/ ... ssue-3/4655-4674.pdf (application/pdf)
https://rsisinternational.org/journals/ijriss/arti ... ural-equation-model/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:9:y:2025:issue-3:p:4655-4674

Access Statistics for this article

International Journal of Research and Innovation in Social Science is currently edited by Dr. Nidhi Malhan

More articles in International Journal of Research and Innovation in Social Science from International Journal of Research and Innovation in Social Science (IJRISS)
Bibliographic data for series maintained by Dr. Pawan Verma ().