A framework for analyzing performance in higher education
AbstractDrawing on Tinto’s dropout intentions model (1975), Bean’s socialization model (1985), Astin’s involvement theory (1999), and the service marketing literature, this research presents a conceptual framework for analyzing students’ satisfaction, perceived learning outcomes, and dropout intentions. This framework allows for a better understanding of how students assess the university experience and how these perceptions affect future intentions. This article presents four studies testing fragments of the framework using data sets come from three countries and various undergraduate programs (business, economics, geography, and nursing). The models are tested using structural equation modeling with data collected using a questionnaire adapted to the specific contexts. The models have the ability to explain the studies’ dependent variables and offer practical utility for decision making. Applicability of the conceptual framework is evaluated in various contexts and with different student populations. One important finding is that student co-creation can be as important as perceived service quality in explaining students’ cognitive learning outcomes, which in turn explain a high percentage of satisfaction and affective learning outcomes. The studies also shed light on the roles of variables such as emotional exhaustion and dropout intentions
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Bibliographic InfoPaper provided by Universidad Carlos III, Departamento de Estadística y Econometría in its series Statistics and Econometrics Working Papers with number ws132403.
Date of creation: Jul 2013
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Subjective measures; Satisfaction; Perceived quality; Performance; Higher education;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-07-15 (All new papers)
- NEP-EDU-2013-07-15 (Education)
- NEP-HRM-2013-07-15 (Human Capital & Human Resource Management)
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