Examining geography as a predictor of students’ university intentions

A logistic regression analysis

Dados Bibliográficos

ID12353042
AutoresGrant Cooper (0000-0003-3890-0947, RMIT University, autor correspondente), Rob Strathdee (0000-0001-9288-8737, School of Education, Victoria University, Melbourne, Australia), James Baglin (0000-0002-5386-4297, RMIT University)
Ano2018
Volume27
Fascículo2
Páginas83-93
Data de publicação2018-05-04
Open AccessSim
TipoARTICLE
PeriódicoRural Society (JOURNAL)
Identificadores do periódicoISSN: 1037-1656 • E-ISSN: 2204-0536
EditoraTaylor & Francis (PUBLISHER • GB)
DOI10.1080/10371656.2018.1472909
OpenAlexW2804812557
IdiomaEN
Citações recebidas4
Referências citadas16

While improving educational aspirations has been positioned by various stakeholders (e.g. governments, researchers, educators) as an important part of increasing higher education participation, there appears to be disagreement in the literature about this relationship. If a key goal of eliciting students’ educational aspirations is to reliably predict future university participation, researchers should choose aspiration measures supported by evidence regarding their predictive validity. In this article, the authors examine students’ university intentions considering past research has demonstrated the relative strength of its predictive validity. The key aim of this article is to investigate if, and to what extent, distance predicts students’ intentions to attend university. Over 9400 Australian students are included in the analysis. Findings indicated students from provincial areas were significantly less likely to report intent to study at university when compared with metropolitan students. Furthermore, remote students were less likely to report an intention to attend university than students in the metropolitan category. Controlling for socio-economic status (SES), as distance increases from an Australian metropolitan area, the likelihood of students reporting intentions to study at university decreases

Developmental psychology · Economic growth · Economics · Geography · Higher education · Logistic regression · Metropolitan area · Political science · Predictive validity · Project commissioning · Publishing · Regression analysis · Statistics · Higher Education Research Studies · Mathematics · Psychology · School Choice and Performance · Social Psychology · Urban, Neighborhood, and Segregation Studies

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