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Canada faces demographic aging that intensifies specialized workforce needs. To sustain a steady flow of university graduates, it contrasts increasing accessibility with reducing first-year attrition. Using a 24-variable binomial logistic regression model (N=4229), it finds higher retention rates are achievable in specific environments by improving targeted factors affecting students.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/first-university-experience-and-student-retention-factors/597336/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/first-university-experience-and-student-retention-factors/597336.png","ImageObject",300,407,{"name":92,"@type":93},"Blue Pony","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-06","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":29},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What problem does the study address regarding postsecondary education?","Question",{"text":112,"@type":113},"It addresses the need to supply highly skilled personnel by reducing attrition among first-year students and improving retention drivers in higher education.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the study attempt to improve retention rates?",{"text":117,"@type":113},"It focuses on identifying variables that influence first-year student retention, contrasting accessibility increases with interventions that lower abandonment.",{"name":119,"@type":110,"acceptedAnswer":120},"What method and dataset does the study use?",{"text":121,"@type":113},"It uses a quantitative analysis with a Statistics Canada longitudinal dataset and estimates a 24-variable binomial logistic regression model (N=4229).","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},597336,1792191139,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":29,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":46,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":31,"preview_page_count":4},962090760266,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","CSSHE SCÉES  \nCanadian Journal of Higher Education Revue canadienne d’enseignement supérieur Volume 38, No. 3, 2008, pages 77-96 [www.ingentaconnect.com/content/csshe/cjhe](www.ingentaconnect.com/content/csshe/cjhe)  \nFirst University Experience and Student Retention Factors  \nPaul J. Madgett & Charles H. Bélanger Laurentian University  \nABSTRACT  \nThe global marketplace has heightened the need for highly skilled personnel worldwide, underscoring the fact that a postsecondary education has almost become a necessary link to innovation and competitiveness. Canada, along with other industrialized nations, has an ageing population and is being challenged to alleviate specialized skill imbalances and shortages. A combination of two methods is usually employed to provide a steady supply of university graduates: the firstone is to increase accessibility, and the second is to reduce the attrition of first-year students. After examining the latter through a 24-variable binomial logistic regression model (N = 4229), we found that higher retention rates are definitely achievable in particular environments.  \nRÉSUMÉ  \nLa mondialisation du marché du travail a accru les besoins de maind’œuvre qualifiée et mis en valeur l’importance de la formation postsecondaire comme facteur d’innovation et de compétitivité . Comme plusieurs autres pays industrialisés, le Canada compte une population vieillissante et fait ainsi face aux défis causés par des déséquilibreset des pénuries de main-d’œuvre spécialisée. Deux méthodes sontgénéralement utilisées pour assurer un nombre suffisant de diplômés duniveau postsecondaires : l’augmentation des admissions pour favoriserl’accès et la diminution des abandons parmi la population étudiantedéjà inscrite. L’examen de 24 variables via un modèle binomial derégression logistique a démontré qu’il est possible de diminuer les abandons en améliorant certains facteurs qui touchent les étudianteset étudiants de près.  \n78 CJHE / RCES Volume 38, No. 3, 2008  \nINTRODUCTION  \nIn the last decade, the federal government published a plethora of reports dealing with research and development (R&D) and skills as determinants of innovation. One of those studies, Canada’s Innovation Agenda (Industry Canada, 2001a,b), has stimulated dialogue by attempting to define the role of universities with respect to education, industry, and government. This study highlighted the need for the Canadian economy to commercialize university research in order to create new processes and products that are essential to compete with emerging economies, particularly those of India and China (Industry Canada, 2006; Drummond & Alexander, 2004). Without the implementation of these policy imperatives, many Canadian businesses will have no other option but to downsize their operations and/or open foreign production facilities (Audretsch, 2003). Most innovation-focused strategies are founded on the premise that creating successful industry clusters attracts new businesses and skills into the surrounding region, resulting in employment growth. Wolfe, Davis and Lucas (2005) highlight the advantages of these clusters: “This approach views clusters as the product of traditional agglomeration economies, where firms co-located in the cluster, benefit from easier access to, and reduced costs of, certain collective resources, such as a specialized infrastructure or access to a local labor market for specialized skills”(p.5).  \nSuccessful regions such as Route 128, Silicon Valley, and other “learning regions” rely heavily on the expertise of faculty and graduates from the local universities; consequently, this type of innovation platform requires certain abilities/skills which are only available through a postsecondary education (Advisory Council on Science and Technology, 1999; Conference Board of Canada, 2003; Kitagawa, 2004; Lagendijk & Cornford, 2000) . Mike Lazaridis (2006), Research in Motion co-CEO, has articulated the following regarding defining the importance of highe","cbCaieD8PfwvlSOh","https://ap.wps.com/l/cbCaieD8PfwvlSOh","pdf",76472,"English","# Abstract\n# Introduction\n# Objectives of the Study","[{\"question\":\"What problem does the study address regarding postsecondary education?\",\"answer\":\"It addresses the need to supply highly skilled personnel by reducing attrition among first-year students and improving retention drivers in higher education.\"},{\"question\":\"How does the study attempt to improve retention rates?\",\"answer\":\"It focuses on identifying variables that influence first-year student retention, contrasting accessibility increases with interventions that lower abandonment.\"},{\"question\":\"What method and dataset does the study use?\",\"answer\":\"It uses a quantitative analysis with a Statistics Canada longitudinal dataset and estimates a 24-variable binomial logistic regression model (N=4229).\"}]","First University Experience and Student Retention Factors | PDF",1792084834]