[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-596289-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-596289-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","a-comparison-of-high-school-graduation-predictors-between-two-ontario-student-cohorts","A Comparison of High School Graduation Predictors Between Two Ontario Student Cohorts","","This study examines how predictors of high school graduation change over time for Ontario secondary students, using data from two Grade 9 cohorts (2006 and 2011) from the Toronto District School Board. Multivariate analysis tests whether factors such as gender, race, parental education, household income, suspension, academic achievement, special education needs, and Grade 9 absenteeism differ by cohort and across student subgroups. Results show rising completion over time and reduced influence of parental education and neighborhood income, alongside persistent under-achievement for some racial groups, lower academic streams, and students with high absenteeism. The work argues for enhanced data infrastructure to assess generalizability.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/a-comparison-of-high-school-graduation-predictors-between-two-ontario-student-cohorts/596289/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/a-comparison-of-high-school-graduation-predictors-between-two-ontario-student-cohorts/596289.png","ImageObject",300,407,{"name":42,"@type":43},"Guten tag","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-30","2026-10-15",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",6,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What is the main goal of the research?","Question",{"text":63,"@type":64},"To unpack how predictors of high school graduation change over time for Ontario students by comparing two Grade 9 cohorts (2006 and 2011).","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Which predictors are analyzed in relation to graduation?",{"text":68,"@type":64},"The study examines gender, race, parental education, household income, suspension, academic achievement, special education needs, and Grade 9 absenteeism.",{"name":70,"@type":61,"acceptedAnswer":71},"What key findings are reported about graduation over time?",{"text":72,"@type":64},"High school completion increases over time, while the importance of parental education and neighborhood household income diminishes. Persistent under-achievement is still observed for certain racial backgrounds, lower academic streams, and students with high absenteeism.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},596289,1792172229,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,105,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":144,"read_time":145,"preview_page_count":4},687212321768,"https://ap-avatar.wpscdn.com/avatar/a0010bdbe886d2fe77?x-image-process=image/resize,m_fixed,w_180,h_180&k=1789897067658708522","A Comparison of High School Graduation Predictors Between Two Ontario Student Cohorts  \nKaren Robson  \nMcMaster University  \nNicole Malette  \nUniversity of British Columbia  \nPaul Anisef  \nYork University  \nReana Maier  \nMcMaster University  \nRobert Brown  \nYork University  \nCanadian Journal of Education / Revue canadienne de l’éducation ©2023 Canadian Society for the Study of Education/ Société canadienne pour l’étude de l’éducation  \n[www.cje-rce.ca](www.cje-rce.ca)  \nAbstract  \nWhile a number offactors have already been shown to impact variations in graduation rates among students in Canada, there is little research examining the changing impact of these factors on Ontario students’ secondary education completion over time. This research draws on data from two Grade 9 cohorts (2006 and 2011) from the Toronto District School Board in order to unpack how predictors of high school graduation changeover time. In particular, we use multivariate analysis to examine whether predictors (including gender, race, parental education, household income, suspension, academic achievement, special education needs, and Grade 9 absenteeism) are significant by cohort of students and if there are gaps in secondary school success between subgroups. Findings demonstrate that high school completion is increasing over time and that there is a diminishing importance of parental education and neighbourhood household income as a predictor of high school graduation. However, we do find evidence of persistent under-achievement among students of certain racial backgrounds, lower academic streams, and those with high rates of absenteeism. We argue that additional data infrastructure in Ontario and beyond are necessary to identify how our findings generalize to the province as a whole.  \nKeywords: high school graduation, academic achievement, longitudinal  \nRésumé  \nBien qu’il ait déjà été démontré qu’un certain nombre de facteurs influencent les variations des taux d’obtention de diplôme chez les élèves au Canada, peu de recherches se sont penchées sur les conséquences de ces facteurs sur l’achèvement des études secondaires des élèves ontariens au fil du temps. La présente recherche repose sur des données recueillies auprès de la Commission scolaire du district de Toronto concernant deux promotions de 9e année (2006 et 2011) et vise à déterminer comment les indicateurs relatifs à l’obtention des diplômes d’études secondaires évoluent au fil du temps. Plus particulièrement, nous recourons à une analyse multivariée pour déterminer si les indicateurs (notamment le sexe, la race, le niveau d’éducation des parents, le revenu du ménage, la suspension, le rendement scolaire, les besoins en matière d’éducation  \nCanadian Journal of Education /Revue canadienne del’éducation [www.cje-rce.ca](www.cje-rce.ca)  \nspécialisée et l’absentéisme en 9e année) sont significatifs par groupe d’élèves et s’il ya des écarts en matière de réussite au secondaire entre les sous-groupes. Les résultatsobtenus prouvent que le taux d’achèvement des études secondaires augmente au fil du temps et que l’importance de l’éducation des parents et du revenu moyen des ménages du quartier en tant que facteurs prédictifs de l’obtention du diplôme d’études secondaires diminue. Cependant, nous observons la persistance de mauvais résultats chez les élèves de certaines minorités raciales, dans les classes inférieures et chez ceux qui ont un tauxd’absentéisme élevé . Nous estimons que des infrastructures de données supplémentaires sont nécessaires en Ontario et ailleurs pour savoir si les résultats que nous avons obtenuss’appliquent à l’ensemble de la province.  \nMots clés : diplôme d’études secondaires, réussite scolaire, longitudinale  \nIntroduction  \nStudents who do not complete high school are at greater risk for long-term economic hardship, impaired health, and poor family functioning, which can perpetuate socio-economic inequality over generations (Conger et al., 2010) . In the current labour m","cbCaiop4YjmTotMK","https://ap.wps.com/l/cbCaiop4YjmTotMK","pdf",281941,27,"English","# Abstract\n# Résumé\n# Introduction","[{\"question\":\"What is the main goal of the research?\",\"answer\":\"To unpack how predictors of high school graduation change over time for Ontario students by comparing two Grade 9 cohorts (2006 and 2011).\"},{\"question\":\"Which predictors are analyzed in relation to graduation?\",\"answer\":\"The study examines gender, race, parental education, household income, suspension, academic achievement, special education needs, and Grade 9 absenteeism.\"},{\"question\":\"What key findings are reported about graduation over time?\",\"answer\":\"High school completion increases over time, while the importance of parental education and neighborhood household income diminishes. Persistent under-achievement is still observed for certain racial backgrounds, lower academic streams, and students with high absenteeism.\"}]","A Comparison of High School Graduation Predictors Between Two Ontario Student Cohorts | PDF",1792082802,68]