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It presents an empirical framework using administrative data to estimate key determinants of student success. Ordered Logit and Generalized Ordered Logit estimators are used, with feologit as a robustness check for fixed-effects ordered logit models. Results are based on one institution while offering transferable insights for similar performance challenges.",{"@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/the-determinants-of-student-success-in-university-a-generalized-ordered-logit-approach/596963/",{"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/the-determinants-of-student-success-in-university-a-generalized-ordered-logit-approach/596963.png","ImageObject",300,407,{"name":92,"@type":93},"Danger Angel","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":14},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What methods are used to estimate determinants of student success?","Question",{"text":112,"@type":113},"The study uses Ordered Logit and Generalized Ordered Logit estimators on administrative data to assess the influence of key factors. It also applies the feologit estimator as a robustness check for fixed-effects ordered logit models.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Why is predicting student success important to higher education institutions?",{"text":117,"@type":113},"It is important for education officials because it supports successful academic careers for students. It also aligns with fiscal realities, since higher tuition revenues help fund university budgets.",{"name":119,"@type":110,"acceptedAnswer":120},"How does the paper conceptualize student outcomes and relative success?",{"text":121,"@type":113},"Student outcomes such as graduation, continuation, or withdrawal are treated as ordinally ranked. The research question focuses on identifying factors that influence the relative success of previously admitted students at a post-secondary institution.","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},596963,1792316769,{"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":14,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},962090769052,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","The Determinants of Student Success in University: A Generalized Ordered Logit Approach  \nPhilippe Cyrenne  \nUniversity of Winnipeg  \nAlan Chan  \nGovernment of Manitoba  \nAbstract  \nThe ability of universities and colleges to predict the success of admitted students continues to be a key concern of higher education officials. Apart from a desire to see students have successful academic careers, there is also the fiscal reality of greater tuition revenues providing needed support for university budgets. Using administrative data, this article introducesa relatively new empirical approach to estimating the determinants of student success in post-secondary institutions. Using Ordered Logit and Generalized Ordered Logit estimators, we estimate the role a number of key factors play in influencing student success. As a test of robustness we also use the feologit estimator which is designed to fit fixed effects ordered logit models. An important feature of our approach to determining student success is that it can be conducted using readily available administrative data. While the results are based on one institution, we feel there are useful lessons for other institutions facing similar student performance issues.  \nKeywords: Generalized Ordered Logit, student success, universities, colleges  \nRésumé  \nPour les responsables de l’enseignement supérieur, la capacité des collèges et universités à prévoir la réussite des étudiants admis demeure une préoccupation constante. Derrière le souhait de voir les étudiants réussir leur parcours d’études, il y a également la réalité financière nécessitant d’accroître les revenus tirés des frais de scolarité afin de soutenir le budget des universités. Pour évaluer les facteurs déterminants de la réussite des étudiants dans les établissements d’enseignement postsecondaires, nous avons introduit dans cet article une approche empirique relativement nouvelle fondée sur des données administratives. Grâce à des estimateurs logit ordonné et logit ordonné généralisé, nous avons évalué l’influence d’un certain nombre de facteurs sur la réussite des étudiants. En guise de test de robustesse, nous avons également utilisé l’estimateur « feologit », conçu pour s’adapter aux modèles logit ordonné à effets fixes. L’aspect important de notre approche est qu’elle peut se fonder sur des données administratives aisément disponibles pour déterminer le succès des étudiants. Et bien que nos résultats ne reposent que sur une seule université, nous pensons qu’ils seront riches d’enseignements pour d’autres établissements confrontés aux mêmes enjeux posés par la réussite des étudiants.  \nMots-clés : logit ordonné généralisé, réussite étudiante, universités, collèges  \nIntroduction  \nThe ability of universities and colleges to retain previously admitted students continues to be a concern of higher education officials. Apart from a desire to see students have successful academic careers, there is the fiscal reality of higher tuition revenues providing needed support for university budgets. This desire has spurred a  \nlarge number of researchers to examine the factors that influence the student performance in higher education, by examining issues related to graduation, stop out and withdrawal.1  \nA number of approaches have been taken to estimate the relationship between student characteristics, institutional support and student performance. One approach is to predict the retention or withdrawal rates of  \nCanadian Journal of Higher Education | Revue canadienne d’enseignement supérieur 52:1 (2022)   \nstudents using survival analysis, also called an event history study. Survival analysis is the branch of statistics that examines time to a significant event.2 In higher education, the event might be the time to withdrawal, either permanent or temporary, or time to graduation.3 The type of survival analyis used depends on the nature and frequency of the data. Continuous time models are based on frequent observations, while discr","cbCaisNlaDPhrpvO","https://ap.wps.com/l/cbCaisNlaDPhrpvO","pdf",363234,25,"English","# Abstract\n# Introduction\n## Research motivation and objectives\n## Related approaches: survival analysis and choice models\n## Relative success and modeling strategy","[{\"question\":\"What methods are used to estimate determinants of student success?\",\"answer\":\"The study uses Ordered Logit and Generalized Ordered Logit estimators on administrative data to assess the influence of key factors. It also applies the feologit estimator as a robustness check for fixed-effects ordered logit models.\"},{\"question\":\"Why is predicting student success important to higher education institutions?\",\"answer\":\"It is important for education officials because it supports successful academic careers for students. It also aligns with fiscal realities, since higher tuition revenues help fund university budgets.\"},{\"question\":\"How does the paper conceptualize student outcomes and relative success?\",\"answer\":\"Student outcomes such as graduation, continuation, or withdrawal are treated as ordinally ranked. The research question focuses on identifying factors that influence the relative success of previously admitted students at a post-secondary institution.\"}]","The Determinants of Student Success in University - A Generalized Ordered Logit Approach | PDF",1792084097,63]