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Reaching the marginalized: EFA global monitoring report, 2010; 2010

Reaching the marginalized: EFA global monitoring report, 2010; 2010

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001CHAPTER 32Education for All Global Monitoring ReportSocio-economicdisadvantageweighs moreheavily on testscores in somecountries thano<strong>the</strong>rslearning achievement. Analysis of national datafrom <strong>the</strong> 2006 PISA science tests given to 15-yearoldsshows that, on average, socio-economicbackground explains 14% of <strong>the</strong> variation inperformance. There is marked variation around<strong>the</strong> average. Socio-economic characteristics weighfar more heavily in some countries, such asFrance, Germany, <strong>the</strong> United Kingdom and <strong>the</strong>United States, than in o<strong>the</strong>rs, including Finland,Japan and <strong>the</strong> Republic of Korea, all of whichachieve higher average scores (OECD, 2007b).Figure 3.18 illustrates <strong>the</strong> weight of inheritedcircumstance in shaping learning achievement.It suggests that high levels of inequality areparticularly damaging for children fromhouseholds at <strong>the</strong> lower end of <strong>the</strong> socio-economicdistribution. Consider <strong>the</strong> following comparisons.The share of <strong>the</strong> national variation in PISAma<strong>the</strong>matics scores explained by socio-economicstatus is far greater in Germany than in Finland,with German children in <strong>the</strong> lowest socioeconomicgroup twice as likely to score at <strong>the</strong>lowest level in ma<strong>the</strong>matics tests. The contrastFigure 3.18: Socio-economic disadvantage in education weighs more heavilyin some countries than o<strong>the</strong>rsOdds ratio for likelihood of lowest socio-economic status students aged 15 being among <strong>the</strong> bottomperformers and % of ma<strong>the</strong>matics score variance explained by socio-economic status, OECD countriesSocio-economic disadvantage index654321Students with low socio-economic status aremore likely to be among <strong>the</strong> worse performersRep of KoreaFinlandJapanIcelandSwedenDenmarkSwitzerlandGreeceSlovakiaGermanyTurkeySocio-economic status explains a larger shareof <strong>the</strong> differences in ma<strong>the</strong>matics scoresBelgiumUnited States00 5 10 15 20 25Variance in ma<strong>the</strong>matics scores explained by socio-economic status (%)HungaryFranceNote: The socio-economic disadvantage index is <strong>the</strong> relative likelihood of students with <strong>the</strong> lowest socio-economicstatus (SES) scoring below or at proficiency level 1 when compared to student with <strong>the</strong> highest SES.Sources: OECD (2006a, 2007a).between (less equal) France and (more equal)<strong>the</strong> Republic of Korea is equally striking. Does<strong>the</strong> higher level of equity achieved in Finland and<strong>the</strong> Republic of Korea come at <strong>the</strong> price of loweraverage performance? On <strong>the</strong> contrary, bothcountries have higher mean test scores in PISAthan France or Germany.Household poverty, a core element in socioeconomicdisadvantage, is strongly associated withlow levels of education achievement. In England,students receiving a free school meal – a sign ofhousehold deprivation – have far lower averagetest scores than o<strong>the</strong>r students. The score gap inEnglish is 16% and <strong>the</strong> gap in ma<strong>the</strong>matics is 29%.The share of this group leaving school with highscores on national tests is one-third <strong>the</strong> nationalaverage (Vignoles, 2009; UK Department forChildren, Schools and Families, 2008).Wealth-based performance differences in Franceare equally marked. Almost half <strong>the</strong> children from<strong>the</strong> poorest households are significantly behind<strong>the</strong>ir peers by sixth grade. By age 15, around 15%of <strong>the</strong> poorest students are at least two yearsbehind <strong>the</strong> ninth grade performance level – threetimes <strong>the</strong> national average. By age 17, almostone in five poor youth have given up <strong>the</strong>ir studies(France Council for Employment, 2008).Poverty effects combine with o<strong>the</strong>r factors thatcontribute to marginalization. In <strong>the</strong> United States,schools with high concentrations of poverty (withover 75% of students eligible for free or subsidizedlunch) had <strong>the</strong> lowest percentage of whitestudents, <strong>the</strong> highest percentage of African-American and Hispanic students, and <strong>the</strong> highestpercentage of students who <strong>report</strong>ed alwaysspeaking a language o<strong>the</strong>r than English at home.They also had <strong>the</strong> highest percentage of fourthgradersbeing taught by a teacher with fewerthan five years of experience (US Departmentof Education, 2007). Test score gaps reflect <strong>the</strong>cumulative disadvantage. On <strong>the</strong> internationalTIMSS scale for ma<strong>the</strong>matics in grade 8, <strong>the</strong>United States ranks ninth out of forty-eightcountries. Hispanic students, however, score justabove <strong>the</strong> level of Malaysia. On an internationalscale, schools with high concentrations of povertyand African-American students score between<strong>the</strong> average levels of Malaysia and Thailand(Figure 3.19). These very large test score effectspoint to limited success by <strong>the</strong> education systemin counteracting wide social disadvantages.156

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