Factors influencing student retention university students: an analysis of institutional reputation, social responsibility and loyalty

This dataset supports the article “Factors Influencing University Student Retention: An Analysis of Institutional Reputation, Social Responsibility, and Loyalty” and contains the empirical data used to examine determinants of student retention in higher education institutions. The data were collecte...

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Detalles Bibliográficos
Autores principales: Abanto Ramirez, Carlos Daniel, Albornoz Toyohama, Roger Hiroshi, Mendigure-Hachircana, Ruth, Haro Casildo, Sady Lourdes
Formato: Conjunto de datos
Lenguaje:inglés
Publicado: 2026
Acceso en línea:Enlace permanente (DOI o Handle)
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Descripción
Sumario:This dataset supports the article “Factors Influencing University Student Retention: An Analysis of Institutional Reputation, Social Responsibility, and Loyalty” and contains the empirical data used to examine determinants of student retention in higher education institutions. The data were collected through a quantitative research design using a structured questionnaire administered to university students. The dataset includes variables measuring institutional reputation, university social responsibility, student loyalty, and intention to remain enrolled, along with selected sociodemographic characteristics employed as control variables. Measurement items were adapted from previously validated scales in the academic literature to ensure reliability and construct validity. All responses were collected anonymously, and no personally identifiable information is included, in accordance with ethical research standards and data protection principles. The dataset has been cleaned and organized to facilitate replication, secondary analysis, and reuse. This resource is intended for researchers, educators, and policymakers interested in higher education management, student experience, retention strategies, educational marketing, and institutional social responsibility. It may be used for comparative studies across institutions or countries, methodological validation, or as a reference dataset for teaching quantitative analysis techniques. Users of this dataset are encouraged to cite the associated article when using the data for academic or professional purposes.