{"title":"NAPLAN分数作为维多利亚州接受高等教育的预测指标","authors":"B. Houng, Moshe Justman","doi":"10.2139/ssrn.2519864","DOIUrl":null,"url":null,"abstract":"This paper examines the extent to which year-9 performance on the National Assessment Program—Language Arts and Numeracy (NAPLAN) predicts access to higher education as determined by subsequent achievement on year-12 Victoria Certificate of Education (VCE) exams. VCE performance is measured via three binary indicators: achieving an Australian tertiary admission rank (ATAR) above 50 (\"ATAR50\"), above 70 (\"ATAR70\"), and above 90 (\"ATAR90\"); and two continuous indicators: ATAR and the Tertiary Entrance Aggregate (TEA). We find that a four-way classification of year-9 NAPLAN results explains 35% of the variance in ATAR50, 37% in ATAR70 and 26% in ATAR90; and NAPLAN scores and basic demographic indicators explain 38% of the variance in ATAR and 42% of the variance in TEA values. Examining the joint effect of year-9 NAPLAN scores and socio-economic status in predicting VCE outcomes, we find that while both are significant, NAPLAN scores have a much stronger effect. At the school level, we find that predictions of success rates based on NAPLAN scores and basic demographic indicators explain over 82% of the variance in school achievement in each of the binary indicators.","PeriodicalId":331095,"journal":{"name":"Melbourne Institute: Applied Economic & Social Research Working Paper Series","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"NAPLAN Scores as Predictors of Access to Higher Education in Victoria\",\"authors\":\"B. Houng, Moshe Justman\",\"doi\":\"10.2139/ssrn.2519864\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines the extent to which year-9 performance on the National Assessment Program—Language Arts and Numeracy (NAPLAN) predicts access to higher education as determined by subsequent achievement on year-12 Victoria Certificate of Education (VCE) exams. VCE performance is measured via three binary indicators: achieving an Australian tertiary admission rank (ATAR) above 50 (\\\"ATAR50\\\"), above 70 (\\\"ATAR70\\\"), and above 90 (\\\"ATAR90\\\"); and two continuous indicators: ATAR and the Tertiary Entrance Aggregate (TEA). We find that a four-way classification of year-9 NAPLAN results explains 35% of the variance in ATAR50, 37% in ATAR70 and 26% in ATAR90; and NAPLAN scores and basic demographic indicators explain 38% of the variance in ATAR and 42% of the variance in TEA values. Examining the joint effect of year-9 NAPLAN scores and socio-economic status in predicting VCE outcomes, we find that while both are significant, NAPLAN scores have a much stronger effect. At the school level, we find that predictions of success rates based on NAPLAN scores and basic demographic indicators explain over 82% of the variance in school achievement in each of the binary indicators.\",\"PeriodicalId\":331095,\"journal\":{\"name\":\"Melbourne Institute: Applied Economic & Social Research Working Paper Series\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Melbourne Institute: Applied Economic & Social Research Working Paper Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2519864\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Melbourne Institute: Applied Economic & Social Research Working Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2519864","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
NAPLAN Scores as Predictors of Access to Higher Education in Victoria
This paper examines the extent to which year-9 performance on the National Assessment Program—Language Arts and Numeracy (NAPLAN) predicts access to higher education as determined by subsequent achievement on year-12 Victoria Certificate of Education (VCE) exams. VCE performance is measured via three binary indicators: achieving an Australian tertiary admission rank (ATAR) above 50 ("ATAR50"), above 70 ("ATAR70"), and above 90 ("ATAR90"); and two continuous indicators: ATAR and the Tertiary Entrance Aggregate (TEA). We find that a four-way classification of year-9 NAPLAN results explains 35% of the variance in ATAR50, 37% in ATAR70 and 26% in ATAR90; and NAPLAN scores and basic demographic indicators explain 38% of the variance in ATAR and 42% of the variance in TEA values. Examining the joint effect of year-9 NAPLAN scores and socio-economic status in predicting VCE outcomes, we find that while both are significant, NAPLAN scores have a much stronger effect. At the school level, we find that predictions of success rates based on NAPLAN scores and basic demographic indicators explain over 82% of the variance in school achievement in each of the binary indicators.