A Predictive Model of Canadian College Student Retention

Blair, Morgan

A Predictive Model of Canadian College Student Retention

atmire.migration.oldid	2463
dc.contributor.advisor	Patterson, Margaret
dc.contributor.author	Blair, Morgan
dc.date.accessioned	2014-09-04T20:51:48Z
dc.date.available	2014-11-17T08:00:43Z
dc.date.issued	2014-09-04
dc.date.submitted	2014	en
dc.description.abstract	Estimates in the literature for within-year retention at 2-year colleges range from 57% to 83.9%. This indicates that a large proportion of students who attend 2-year colleges may not be retained beyond the first semester of their studies. Attrition potentially represents a major loss to the student, to the institution, and to society. With current accountability and funding realities becoming more openly discussed, Canadian colleges may not be able to afford to ignore their high rates of attrition in the future. The focus of this research was to estimate the rate of within-year retention among a sample of students attending two comprehensive community colleges in western Canada, and to develop a predictive model that identified potential determinants of retention among these students. Retention was examined among the total sample, among the sample from each college separately, and among the sample enrolled in each credential type. Astin’s Input-Environment-Output model was used as the framework for this research. The model purports that institutional outputs such as retention must be evaluated in the context of the original student inputs and ongoing environmental factors. Multivariable logistic regression was used to develop predictive models of college student retention. The estimated overall retention rate among this sample was 83.6%, although differences were observed by credential type. Among the aggregate sample, two environmental factors - grade point average and credit load - were the strongest predictors of retention once other factors were considered. The predictors of retention differed by credential type. The results indicate that the greatest gains in retention may be realized by strategies aimed at encouraging full-time enrolment and supporting academic achievement. The results of the current study suggest that sub-groups may exist for whom retention is predicted by unique factors. It is important that retention be examined on an institution-by-institution basis. Enhancing our understanding of Canadian college student retention, and taking action to improve retention, may contribute to Canada’s future prosperity in a knowledge economy.	en_US
dc.identifier.citation	Blair, M. (2014). A Predictive Model of Canadian College Student Retention (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/24982	en_US
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/24982
dc.identifier.uri	http://hdl.handle.net/11023/1726
dc.language.iso	eng
dc.publisher.faculty	Graduate Studies
dc.publisher.institution	University of Calgary	en
dc.publisher.place	Calgary	en
dc.rights	University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subject	Education--Administration
dc.subject.classification	Student Retention	en_US
dc.subject.classification	Strategic Enrolment Management	en_US
dc.subject.classification	College	en_US
dc.subject.classification	Canada	en_US
dc.subject.classification	Policy	en_US
dc.subject.classification	Student Persistence	en_US
dc.subject.classification	Student Services	en_US
dc.title	A Predictive Model of Canadian College Student Retention
dc.type	doctoral thesis
thesis.degree.discipline	Educational Research
thesis.degree.grantor	University of Calgary
thesis.degree.name	Doctor of Education (EdD)
ucalgary.item.requestcopy	true