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U. S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> <strong>Global</strong> <strong>Perspective</strong>How well doeseach statedo at produc<strong>in</strong>ghigh-achiev<strong>in</strong>gstudents?<strong>Eric</strong> A. <strong>Hanushek</strong>Paul E. PetersonLudger WoessmannPrepared under the auspices of:Harvard’s Program on Education Policy and Governance & Education NextTaubman Center for State and Local GovernmentHarvard Kennedy SchoolEN


U. S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> <strong>Global</strong> <strong>Perspective</strong>How well does each state do at produc<strong>in</strong>ghigh-achiev<strong>in</strong>g students?by<strong>Eric</strong> A. <strong>Hanushek</strong>Paul E. PetersonLudger WoessmannPrepared under the auspices ofHarvard’s Program on Education Policy and Governance & Education NextTaubman Center for State and Local GovernmentHarvard Kennedy SchoolProgram on EducationPolicy & GovernancePEPG Report No.: 10–19November 2010Websites:hks.harvard.edu/pepgeducationnext.orgHarvardUniversityENEducation Next


Table of ContentsExecutive Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4Introduction ...................................................................6The Demand for High Achievers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .7A Focus on <strong>Math</strong> ...............................................................8Data and Methodology ..........................................................9United States Advanced <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> World <strong>Perspective</strong> ...................... 11Overall Results ..........................................................12White Students .........................................................14Children of Parents with a College Degree ..................................18Urban School Districts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Did No Child Left Beh<strong>in</strong>d Shift the Focus Away from the Best and the Brightest?. . . . . . . . 21The Optimistic View from Prior Studies ..........................................23Discussion and Conclusions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Appendix A:U.S. Science and Read<strong>in</strong>g <strong>Performance</strong> <strong>in</strong> Comparative <strong>Perspective</strong>. . . . . . . . . . . . . . . . . . . 26Appendix B:Methodology for Compar<strong>in</strong>g U.S. States to International <strong>Performance</strong> . . . . . . . . . . . . . . . . 32Appendix C:Photography:Cover & P. 5, Image Source / Getty ImagesP. 7: http://change.gov/newsroom/entry/new_official_portrait_released/P. 8: World Economic Forum / Sever<strong>in</strong> NowackiP. 10: Blue Jean Images / Getty ImagesP. 11: John Kelly / Getty ImagesP. 21: Doug Corrance / Getty ImagesP. 23: Jamie Grill / Getty ImagesP. 30: Sylva<strong>in</strong> Sonnet / Getty ImagesFurther Reflections on the Phillips Studies ........................................33References ....................................................................36Biographical Sketches ..........................................................38educationnext.org hks.harvard.edu/pepg


FiguresFigure 1Class of 2009: Percentage of students at advanced level <strong>in</strong> math<strong>in</strong> U.S. states and countries participat<strong>in</strong>g <strong>in</strong> PISA 2006. ............................16Figure 2Class of 2009: Percentage of white students <strong>in</strong> U.S. states atadvanced level <strong>in</strong> math and percentage of all students at that level<strong>in</strong> countries participat<strong>in</strong>g <strong>in</strong> PISA 2006.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Figure 3Class of 2009: Percentage of students with at least a college-educatedparent <strong>in</strong> U.S. states at advanced level <strong>in</strong> math and percentage ofall students at that level <strong>in</strong> countries participat<strong>in</strong>g <strong>in</strong> PISA 2006. .....................16Figure 4Class of 2009: Percentage of students at advanced level <strong>in</strong> math<strong>in</strong> U.S. urban districts and countries participat<strong>in</strong>g <strong>in</strong> PISA 2006. . . . . . . . . . . . . . . . . . . . . 18Figure 5Percentage of 8th grade students at the advanced level and belowbasic level <strong>in</strong> mathematics on National Assessment of EducationalProgress, 1996 to 2009. ........................................................21Figure A.1Class of 2009: Percentage of students at advanced level <strong>in</strong> science<strong>in</strong> U.S. states and countries participat<strong>in</strong>g <strong>in</strong> PISA 2006. ............................28Figure A.2Class of 2009: Percentage of students at advanced level <strong>in</strong> read<strong>in</strong>g<strong>in</strong> U.S. states and countries participat<strong>in</strong>g <strong>in</strong> PISA 2006. ............................28TablesTable 1Percentages of all students at the advanced level per state andcountries with similar and higher percentages at the advanced level<strong>in</strong> overall student population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .13Table 2Percentages of white students at the advanced level per state andcountries with similar and higher percentages at the advanced level<strong>in</strong> overall student population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15Table 3Percentages of advanced students with a college educated parentper state and countries with similar and higher percentages advanced<strong>in</strong> overall student population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .20Table A.1Percentage of students <strong>in</strong> selected urban districts <strong>in</strong> the United Stateswho are at the advanced level on NAEP 2005 ..........................................27Table A.2Percentage of students who are at the advanced level <strong>in</strong> all countriesparticipat<strong>in</strong>g <strong>in</strong> PISA 2006 ..........................................................30Table A.3Percentage of students <strong>in</strong> U.S. states who are at the advanced levelon NAEP 2005 ....................................................................31Table C.1Countries Scor<strong>in</strong>g Higher than the United States on PISA 2006 andparticipation <strong>in</strong> TIMSS. ............................................................34Table C.2Countries participat<strong>in</strong>g <strong>in</strong> TIMSS but not PISA 2006.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .35U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong>


U. S. <strong>Math</strong><strong>Performance</strong> <strong>in</strong><strong>Global</strong> <strong>Perspective</strong>How well does eachstate do at produc<strong>in</strong>ghigh-achiev<strong>in</strong>gstudents?<strong>Eric</strong> A. <strong>Hanushek</strong>Paul E. PetersonLudger Woessmann1. Countries participat<strong>in</strong>g <strong>in</strong> PISA 2006but not members of the OECD <strong>in</strong> 2010 thathad lower results than the United States<strong>in</strong>clude Croatia, Uruguay, Romania, Brazil,Argent<strong>in</strong>a, Azerbaijan, Montenegro, Qatar,Tunisia, Colombia, Indonesia, Jordan andKyrgyzstan.Executive SummaryMa<strong>in</strong>ta<strong>in</strong><strong>in</strong>g our <strong>in</strong>novative edge <strong>in</strong> the world depends importantly on develop<strong>in</strong>g ahighly qualified cadre of scientists and eng<strong>in</strong>eers. To realize that objective requires asystem of school<strong>in</strong>g that produces students with advanced math and science skills.To see how well the U.S. as a whole, each state, and certa<strong>in</strong> urban districts do atproduc<strong>in</strong>g high-achiev<strong>in</strong>g math students, the percentage of U.S. public and privateschool students <strong>in</strong> the high-school graduat<strong>in</strong>g Class of 2009 who were highly accomplished<strong>in</strong> mathematics <strong>in</strong> each of the 50 states and <strong>in</strong> 10 urban districts is comparedto the percentages of similarly high achievers <strong>in</strong> 56 other countries.Unfortunately, the percentage of students <strong>in</strong> the U.S. Class of 2009 who werehighly accomplished <strong>in</strong> math is well below that of most countries with which the U.S.generally compares itself. No less than 30 of the 56 other countries that participated<strong>in</strong> the Program for International Student Assessment (PISA) math test had a largerpercentage of students who scored at the <strong>in</strong>ternational equivalent of the advancedlevel on our National Assessment of Educational Progress (NAEP) tests. While 6percent of U.S. public and private school students rated as advanced <strong>in</strong> 8th-grademathematics, 28 percent of Taiwanese students did. (See Figure 1, p. 16, for theseresults as well as for the relative rank <strong>in</strong>ternationally of each <strong>in</strong>dividual U.S. state.)It is not only Taiwan that did much, much better than the U.S. At least 20 percentof students <strong>in</strong> Hong Kong, Korea, and F<strong>in</strong>land were highly accomplished, and 12 othercountries had at least twice the percentage of highly accomplished students as theU.S.: Switzerland, Belgium, the Netherlands, Liechtenste<strong>in</strong>, New Zealand, the CzechRepublic, Japan, Canada, Macao, Australia, Germany, and Austria. The only membersof the Organization for Economic Co-operation and Development (OECD) tak<strong>in</strong>gpart <strong>in</strong> PISA 2006 that produced a smaller percentage of advanced math students thanthe U.S. were Spa<strong>in</strong>, Italy, Israel, Portugal, Greece, Turkey, Chile and Mexico. Theperformance of the U.S. cannot be dist<strong>in</strong>guished statistically from that of Russia. 1The percentage of students scor<strong>in</strong>g at the advanced level varies considerablyamong the 50 states, but none does well <strong>in</strong> <strong>in</strong>ternational comparison. Massachusetts,with more than 11 percent advanced, does the best, but the performanceof the Massachusetts Class of 2009 still trails that of 14 countries. M<strong>in</strong>nesota,ranked second among the 50 states, comes <strong>in</strong> at the same level as France, Sweden,Denmark, Iceland, Slovenia and Estonia. California students are roughlycomparable to those <strong>in</strong> Portugal, Italy, Israel and Turkey, and the lowest rank<strong>in</strong>gstates—West Virg<strong>in</strong>ia, New Mexico, and Mississippi—have a smaller percentageof high-perform<strong>in</strong>g students than do Serbia and Uruguay (although they do edgeout Romania, Brazil, and Kyrgyzstan).In short, the percentages of high-achiev<strong>in</strong>g math students <strong>in</strong> the U.S.—and mostof its <strong>in</strong>dividual states—are shock<strong>in</strong>gly below those of many of the world’s lead<strong>in</strong>g<strong>in</strong>dustrialized nations. Results for many states are at the level of develop<strong>in</strong>g countries.4 educationnext.org hks.harvard.edu/pepg


Executive SummaryThis is not simply the result of hav<strong>in</strong>g a population that is heterogeneous anddifficult to educate. Only 8 percent of white students <strong>in</strong> the U.S. Class of 2009 scoredat the advanced level, a percentage that was less than the share of advanced students<strong>in</strong> 24 other countries regardless of their ethnic background. The percentage of whitestudents <strong>in</strong> the state of New York rated as advanced (7.7) is roughly the same asthe percentage of all students <strong>in</strong> Hungary and Norway; California’s white students,7.2 percent of whom score at the advanced level, are roughly even with all students<strong>in</strong> Poland and Ireland.The portion of students <strong>in</strong> the Class of 2009 with at least one parent who graduatedfrom college who are perform<strong>in</strong>g at the advanced level is 10.3 percent. In 16countries, students of all backgrounds, regardless of their parents’ education, dobetter than this advantaged segment of the U.S. population. The percentage of Ill<strong>in</strong>oisstudents with a college-educated parent who are highly accomplished is 9 percent,roughly the same percentage as for all students, regardless of background, <strong>in</strong> Franceand the U.K. Nearly 6 percent of Rhode Island’s students from college-educatedbackgrounds score at the advanced level, the same percentage as all students <strong>in</strong> Italy,Spa<strong>in</strong>, and Latvia, regardless of background. Uruguay and Bulgaria produce the sameproportion of advanced students, no matter their background, as found among childrenof the college-educated <strong>in</strong> Mississippi, just 2.2 percent.At the district level, while the percentages of highly accomplished public andprivate school students <strong>in</strong> Aust<strong>in</strong>, Charlotte, and Boston exceed the U.S. as a whole,New York City trails these cities as well as Israel. San Diego, Houston, Wash<strong>in</strong>gton,D. C., Chicago, Los Angeles, and Atlanta are all clustered below Uruguay andBulgaria but above Chile, Thailand, Romania, Brazil, and Mexico, plac<strong>in</strong>g themat a level roughly equal to that of a Lat<strong>in</strong> American country.Some have attributed this comparatively poor performance to the focus of the2002 federal accountability statute, No Child Left Beh<strong>in</strong>d (NCLB), on the educationalneeds of very low perform<strong>in</strong>g students. But, <strong>in</strong> fact, the percentage of studentsperform<strong>in</strong>g at a high level <strong>in</strong> math climbed steadily <strong>in</strong> the years follow<strong>in</strong>g the law’spassage. The <strong>in</strong>capacity of American schools to br<strong>in</strong>g students up to the highest levelof accomplishment <strong>in</strong> mathematics is much more deep-seated than anyth<strong>in</strong>g <strong>in</strong>ducedby recent federal legislation.In sum, the U.S. trails other <strong>in</strong>dustrialized countries <strong>in</strong> br<strong>in</strong>g<strong>in</strong>g its students up tothe highest levels of accomplishment <strong>in</strong> mathematics. It is not a story of some states’high performance be<strong>in</strong>g offset by the low performance of other states. Nor is it a storyof immigrant or disadvantaged or m<strong>in</strong>ority students hid<strong>in</strong>g the good performance ofbetter prepared students. Comparatively small percentages of white students <strong>in</strong> the statesachieve at a high level. And only a small proportion of the children of our college-educatedpopulation is equipped to compete with students <strong>in</strong> a majority of OECD countries. uOnly 8 percentof white students <strong>in</strong>the U.S. Class of 2009scored at theadvanced level.U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 5


IntroductionIntroduction“Although many people assume that the U.S.will always be a world leader <strong>in</strong> science and technology,this may not cont<strong>in</strong>ue to be the case <strong>in</strong>asmuch asgreat m<strong>in</strong>ds and ideas exist throughout the world.”— Committee on Prosper<strong>in</strong>g <strong>in</strong> the <strong>Global</strong> Economy of the 21st Century (2005)1. Office of the Press Secretary,White House Office, “Remarks by thepresident on the “Educate to Innovate”Campaign and Science Teach<strong>in</strong>g andMentor<strong>in</strong>g Awards,” January 6, 2010.2. Gold<strong>in</strong> and Katz (2008).3. Peterson (2010), Figures 1-5, pp. 268-272.4. See <strong>Hanushek</strong> and L<strong>in</strong>dseth (2009),chapter 2.The economic and technological demand for a talented, well-educated,highly skilled population has never been greater. With rapidly advanc<strong>in</strong>gtechnologies <strong>in</strong> an <strong>in</strong>creas<strong>in</strong>gly <strong>in</strong>tegrated world economy, no one doubts theextraord<strong>in</strong>ary importance of highly accomplished professionals. Not only musteveryday workers have a set of technical skills surpass<strong>in</strong>g those needed <strong>in</strong> thepast, but a cadre of highly talented professionals tra<strong>in</strong>ed to the highest level ofaccomplishment is needed to foster <strong>in</strong>novation and growth. In the words ofPresident Barack Obama, “Whether it’s improv<strong>in</strong>g our health or harness<strong>in</strong>gclean energy, protect<strong>in</strong>g our security or succeed<strong>in</strong>g <strong>in</strong> the global economy, ourfuture depends on reaffirm<strong>in</strong>g America’s role as the world’s eng<strong>in</strong>e of scientificdiscovery and technological <strong>in</strong>novation. And that leadership tomorrow dependson how we educate our students today, especially <strong>in</strong> math, science, technology,and eng<strong>in</strong>eer<strong>in</strong>g.” 1 Unfortunately, the data show that our schools are notsupport<strong>in</strong>g levels of achievement that are competitive <strong>in</strong>ternationally.The U.S. has long recognized the importance of a well-educated work force.Dur<strong>in</strong>g the early decades of the 20th century, the country made disproportionatelylarge <strong>in</strong>vestments <strong>in</strong> secondary and higher education, which translated <strong>in</strong>tounparalleled growth that made the U.S. the dom<strong>in</strong>ant economic power <strong>in</strong> the world. 2But <strong>in</strong> recent years the performance of U.S. schools, once the envy of the world,has slipped, even as technological <strong>in</strong>novations have <strong>in</strong>tensified the demand forhuman capital. The test-score performance of 17-year-old students on the NationalAssessment of Educational Progress (NAEP) has rema<strong>in</strong>ed essentially unchanged forthe past 40 years, and high school graduation rates have decl<strong>in</strong>ed s<strong>in</strong>ce the 1970s. 3While the U.S. has stagnated, other countries have advanced rapidly to emulate<strong>in</strong>vestments <strong>in</strong> human capital begun by the U.S. In fact, many other countries nowexceed the U.S. <strong>in</strong> the provision of secondary and tertiary school<strong>in</strong>g, and, moreimportantly, they do dramatically better than the U.S. <strong>in</strong> terms of achievement. 4Those issues are the subject of this analysis.6 educationnext.org hks.harvard.edu/pepg


A Focus on <strong>Math</strong>“Unless the schools ofthe U.S. f<strong>in</strong>d the tools tobr<strong>in</strong>g students upto the highest level ofaccomplishment,it places the nation atrisk <strong>in</strong> the <strong>in</strong>ternationaleconomy of the21st Century.”—Bill Gates9. Stem Education Coalition website, STEMEd Coalition Objectives, accessed July 1,2010 at http://www.stemedcoalition.org/content/objectives/10. Committee on Prosper<strong>in</strong>g <strong>in</strong> the <strong>Global</strong>Economy of the 21st Century (2005).11. <strong>Hanushek</strong> and Woessmann (2009).12. Bishop (1992); Murnane, Willett, andLevy (1995).13. As quoted <strong>in</strong> Friedman (2007), p. 302.14. As reported on Th<strong>in</strong>kport.org andquoted <strong>in</strong> Friedman (2007), p. 302.Education Act (ESEA) <strong>in</strong> 1965, now known <strong>in</strong> its most recent re-authorizationas No Child Left Beh<strong>in</strong>d (NCLB). Both federal fund<strong>in</strong>g and the accountabilityelements of NCLB have stressed the importance of br<strong>in</strong>g<strong>in</strong>g every student up to am<strong>in</strong>imum level of proficiency.As great as this need may be, there is no less need to lift more students,no matter their socioeconomic background, to high levels of educationalaccomplishment. In 2006, the Science Technology Eng<strong>in</strong>eer<strong>in</strong>g and <strong>Math</strong>(STEM) Education Coalition was formed to “raise awareness <strong>in</strong> Congress, theAdm<strong>in</strong>istration, and other organizations about the critical role that STEMeducation plays <strong>in</strong> enabl<strong>in</strong>g the U.S. to rema<strong>in</strong> the economic and technologicalleader of the global marketplace for the 21st Century.” 9 In the words ofa National Academy of Sciences report that jump-started the coalition’sformation, the nation needs to “<strong>in</strong>crease” its “talent pool by improv<strong>in</strong>g K-12science and mathematics education.” 10In short, the U.S. cannot afford to neglect high performers <strong>in</strong> our questto br<strong>in</strong>g up the bottom. <strong>Performance</strong> at the top end is no less important, andimprovements at both ends re<strong>in</strong>force each other, help<strong>in</strong>g to accelerate the growth<strong>in</strong> productivity of the nation’s economy. 11A Focus on <strong>Math</strong>To see how well U.S. schools do at produc<strong>in</strong>g high-achiev<strong>in</strong>g math students,we compare the percentage of U.S. public and private school students <strong>in</strong> thegraduat<strong>in</strong>g Class of 2009 who were highly accomplished <strong>in</strong> mathematics <strong>in</strong> eachof the 50 states and <strong>in</strong> 10 urban districts to percentages of high achievers <strong>in</strong> 56other countries.We give special attention to math performance because math appears tobe the subject <strong>in</strong> which accomplishment <strong>in</strong> secondary school is particularlysignificant for both an <strong>in</strong>dividual’s and a country’s economic well-be<strong>in</strong>g.Exist<strong>in</strong>g research, though not conclusive, <strong>in</strong>dicates that math skills betterpredict future earn<strong>in</strong>gs and other economic outcomes than other skills learned<strong>in</strong> high school. 12 “Choose math,” a Norwegian scholar has advised students,“because you will meet it more and more <strong>in</strong> the future. <strong>Math</strong> becomes more andmore important <strong>in</strong> all areas of work and scholarship. There will be more math atwork, so you will need more math at school.” 13 The American Diploma Projectagrees with this assessment, estimat<strong>in</strong>g that “<strong>in</strong> 62 percent of American jobsover the next 10 years, entry-level workers will need to be proficient <strong>in</strong> algebra,geometry, data <strong>in</strong>terpretation, probability and statistics.” 148 educationnext.org hks.harvard.edu/pepg


Data and MethodologyIf <strong>in</strong>dividuals can profit by <strong>in</strong>vestments <strong>in</strong> math education, the same istrue for countries as a whole. In a prior study, two of the authors of this reportdemonstrate that growth <strong>in</strong> the economic productivity of a nation is drivenmore clearly by the math proficiency of its high school students than by theirproficiency <strong>in</strong> other subjects. 15There is also a technical reason for focus<strong>in</strong>g our analysis on math. Thissubject is particularly well suited to rigorous comparisons across countries andcultures. There is a fairly clear <strong>in</strong>ternational consensus on the math concepts andtechniques that need to be mastered and on the order <strong>in</strong> which those conceptsshould be <strong>in</strong>troduced <strong>in</strong>to the curriculum. The knowledge to be learned rema<strong>in</strong>sthe same regardless of the dom<strong>in</strong>ant language spoken <strong>in</strong> a culture. Compar<strong>in</strong>gread<strong>in</strong>g performances is more challeng<strong>in</strong>g because of structural differences <strong>in</strong>languages, and science comparisons can be faulted for a lack of consensus onthe science concepts that need to be mastered. (See Appendix A for a furtherdiscussion of U.S. read<strong>in</strong>g and science performance <strong>in</strong> <strong>in</strong>ternational perspectivealong with tables that provide the performance data of countries, states, andurban districts that are the focus of this analysis.)Data and MethodologyOur analysis relies on test-score <strong>in</strong>formation from young adults collected bythe National Assessment of Educational Progress (NAEP) and the Programfor International Student Assessment (PISA). 16 NAEP, often called “thenation’s report card,” is a large, nationally representative assessment of studentperformance <strong>in</strong> mathematics, read<strong>in</strong>g, and science that has been adm<strong>in</strong>isteredperiodically s<strong>in</strong>ce the early 1970s to U.S. students <strong>in</strong> 4th grade and 8th grade,and at the age of seventeen. S<strong>in</strong>ce 2001, it has provided achievement data for arepresentative sample of students <strong>in</strong> each of the 50 states and a select numberof urban school districts. PISA is an <strong>in</strong>ternationally standardized assessment ofstudent performance <strong>in</strong> mathematics, science, and read<strong>in</strong>g established by theOrganization for Economic Co-operation and Development (OECD). It wasadm<strong>in</strong>istered <strong>in</strong> 2000, 2003, and 2006 to representative samples of 15-year-olds<strong>in</strong> all OECD countries as well as <strong>in</strong> many others. 17We focus on the performance of the <strong>in</strong>ternational equivalent of the U.S. highschool graduation Class of 2009 at the time when this class was <strong>in</strong> the equivalentof U.S. grades 8 and 9. The NAEP used was adm<strong>in</strong>istered to 8th graders <strong>in</strong> 2005(NAEP 2005), while PISA 2006 was adm<strong>in</strong>istered one year later to students at theage of 15, the year at which most Americans are <strong>in</strong> 9th grade.15. <strong>Hanushek</strong> and Woessmann (2009),Table 2.16. Data for NAEP come from the officialwebsite [accessed June 1, 2010], http://nces.ed.gov/nationsreportcard/. NAEP has alsotested periodically a representative sampleof students <strong>in</strong> several other subjects. Resultsfrom these other tests are not used here.17. The OECD which adm<strong>in</strong>isters PISAis an <strong>in</strong>ternational economic organizationencompass<strong>in</strong>g most of the high <strong>in</strong>come,developed countries of the world. In 2007,it had 30 members; three new members(Chile, Israel, and Slovenia) were added<strong>in</strong> 2010. Information about PISA canbe found <strong>in</strong> Organisation for EconomicCo-operation and Development (2004),table 6.2, and Organisation for EconomicCo-operation and Development (2007).Data for PISA 2006 come from the PISAmicrodata (http://www.pisa.oecd.org/).The PISA assessments build upon earlier<strong>in</strong>ternational test<strong>in</strong>g, most importantlythose of the International Association forthe Evaluation of Educational Achievement(IEA) now known as Trends <strong>in</strong> <strong>Math</strong>ematicsand Science Survey (TIMSS). IEA hasconducted assessments s<strong>in</strong>ce the mid-1960sand is responsible for the TIMSS test<strong>in</strong>gthat is discussed below. See http://www.iea.nl/. Historical PISA scores and those ofthe Trends <strong>in</strong> International <strong>Math</strong>ematicsand Science (TIMSS), used below, aresummarized <strong>in</strong> Provasnik, Gonzales, andMiller (2009), which also conta<strong>in</strong>s referencesto the orig<strong>in</strong>al publications for TIMSS.U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 9


Data and Methodology<strong>Math</strong> appears to bethe subject <strong>in</strong> whichaccomplishment<strong>in</strong> secondary schoolis particularlysignificant for both an<strong>in</strong>dividual’s anda country’s economicwell-be<strong>in</strong>g.18. Loveless (2008).19. Mullis, Mart<strong>in</strong>, and Foy (2008), p. 71.20. Some have suggested that PISA andNAEP do not test a common doma<strong>in</strong> ofknowledge. Former Commissioner of theNational Center for Education StatisticsMark Schneider objects to us<strong>in</strong>g PISA totest a representative sample of students <strong>in</strong>each state on the grounds that “PISA is aself-proclaimed ‘yield study’ assess<strong>in</strong>g the‘literacy’ of 15-year-olds and is not tied toany specific curricula (Schneider (2009)).”Brook<strong>in</strong>gs scholar Tom Loveless (2009) hascritiqued the validity of the PISA sciencetest. But average student performancesacross countries on different <strong>in</strong>ternationaltests are strongly correlated, suggest<strong>in</strong>g thata common doma<strong>in</strong> of knowledge is be<strong>in</strong>gtested (<strong>Hanushek</strong> and Woessmann (2009)).For example, the correlation between TIMSS2007 and PISA 2007 was 0.93 (Phillips(2009), p. 36).NAEP is governed by the National Assessment Govern<strong>in</strong>g Board (NAGB),which consists of 26 educators and other public figures appo<strong>in</strong>ted by the U.S.Secretary of Education. In 2005, NAEP tested representative samples of 8thgradepublic and private school students <strong>in</strong> each of the 50 states, <strong>in</strong> 10 largepublic school districts, and <strong>in</strong> the U.S. as a whole <strong>in</strong> math, science, and read<strong>in</strong>g.For each of these jurisdictions, NAEP 2005 calculates the percentage of studentswho perform at three levels: basic, proficient, and advanced. The focus of thisreport is the top performers, the percentage of students NAEP found to performat the advanced level.Only 6.04 percent of the students <strong>in</strong> the U.S. <strong>in</strong> 8th grade <strong>in</strong> 2005 scored at theadvanced level <strong>in</strong> math. That the percentage is small is not by itself a def<strong>in</strong>itive<strong>in</strong>dication that only a few American 8th graders are highly accomplished <strong>in</strong> thesubject. S<strong>in</strong>ce NAGB has the power to set the advanced bar at whatever level itdeems appropriate, the specific level at which the standard is set is ultimately amatter of judgment by its board, which <strong>in</strong> turn is advised by experts <strong>in</strong> the field.Some critics feel that the standard set by the NAEP govern<strong>in</strong>g board is excessivelystr<strong>in</strong>gent. 18 However, the 2007 Trends <strong>in</strong> International <strong>Math</strong> and Science Study(TIMSS 2007), another <strong>in</strong>ternational test that has been adm<strong>in</strong>istered to studentsthroughout the world, appears to have set a standard very similar to NAEP 2005, asonly 6 percent of U.S. 8th graders scored at the advanced level on that test as well. 19We do not take a position on this question but <strong>in</strong>stead simply take the NAEP2005 standard as given and compare U.S. performance at that advanced level tothat of other countries. We use <strong>in</strong>formation from the PISA 2006 mathematicstest to estimate the percentage of students <strong>in</strong> other countries who would havescored at this same advanced level or higher had they taken NAEP 2005. Weare able to estimate that percentage because students <strong>in</strong> the U.S. and <strong>in</strong> 56 othercountries took the PISA 2006 math exam<strong>in</strong>ation. (See Appendix Table A.2, p.30, for the list of countries who participated <strong>in</strong> the adm<strong>in</strong>istration of the PISA2006 math exam<strong>in</strong>ation.) Because U.S. students took both the NAEP 2005 andthe PISA 2006, it is possible to f<strong>in</strong>d the score on the PISA that is tantamount toscor<strong>in</strong>g at the advanced level on the NAEP, i.e., the score that will yield the samepercentage of U.S. students as scored at the advanced level on the NAEP.A score on PISA 2006 of 617.1 po<strong>in</strong>ts is equivalent to the lowest scoreobta<strong>in</strong>ed by anyone <strong>in</strong> the top 6.04 percent of U.S. students <strong>in</strong> the Class of2009. (The PISA assessment has an average score of 500 among OECD studentsand a standard deviation of 100.) It is assumed that both NAEP and PISAtests randomly select questions from a common universe of mathematicsknowledge. 20 Given that assumption, it may be further assumed that students10 educationnext.org hks.harvard.edu/pepg


United States Advanced <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> World <strong>Perspective</strong>who scored similarly on the two exams will have similar math knowledge, i.e.,students who scored 617.1 po<strong>in</strong>ts or better on the PISA test would have beenidentified as advanced had they taken the NAEP math test. Inasmuch as a scoreof 617.1 po<strong>in</strong>ts is more than one standard deviation above the average studentscore on the PISA, it is clear that a group of highly accomplished students hasbeen isolated. (For more methodological details, see Appendix B.)As stated above, NAEP exam<strong>in</strong>ations are given to 8th graders, while PISAexam<strong>in</strong>ations are given at the age of 15, the age of the average U.S. 9th grader,so track<strong>in</strong>g the Class of 2009 means rely<strong>in</strong>g on the 2005 NAEP test and the PISAtest of 2006. 21 In compar<strong>in</strong>g the performance of the Class of 2009 on the NAEPand PISA tests at these two different po<strong>in</strong>ts <strong>in</strong> time, we assume that no eventhappened between 8th and 9th grade that significantly altered the performanceof American students relative to that of students <strong>in</strong> other countries. 22Because representative samples of student performance on the NAEP 2005are available for each state and for 10 urban school districts, it is possible tocompare the percentages of students <strong>in</strong> the Class of 2009 who scored at theadvanced level for each state and for 10 urban districts to the percentage ofequally advanced students <strong>in</strong> countries from around the globe.In short, l<strong>in</strong>k<strong>in</strong>g the scores of the Class of 2009 on NAEP 2005 and PISA 2006provides us with the opportunity to assess from an <strong>in</strong>ternational vantage po<strong>in</strong>thow well the U.S. as a whole, <strong>in</strong>dividual states, and certa<strong>in</strong> school districts aredo<strong>in</strong>g at lift<strong>in</strong>g students to high levels of accomplishment.United States Advanced <strong>Math</strong><strong>Performance</strong> <strong>in</strong> World <strong>Perspective</strong>We first provide an overall assessment of the relative percentages of adolescents<strong>in</strong> the U.S. and other countries who have reached a very high level ofmathematics achievement. Largely as a way of expla<strong>in</strong><strong>in</strong>g away the disappo<strong>in</strong>t<strong>in</strong>grelative performance of U.S. students, it is frequently noted that the U.S. has avery heterogeneous population with large numbers of immigrants. Such a diversepopulation, with students com<strong>in</strong>g to school with vary<strong>in</strong>g preparation, mayhandicap U.S. performance relative to other, more homogeneous countries. Forthis reason, we provide two additional analyses. We exam<strong>in</strong>e two U.S. subgroupsconventionally thought to have better preparation for school—white studentsand students from families where at least one parent is reported to have receiveda college degree—and compare the percentages of high-achiev<strong>in</strong>g studentsamong them to the (total) populations abroad.No less than 30 of the56 other countries thatparticipated <strong>in</strong> the PISAmath test had a largerpercentage of studentswho scored atthe <strong>in</strong>ternationalequivalent of theadvanced level.21. It is fortunate that the NAEP math,science and read<strong>in</strong>g tests were given <strong>in</strong> 2005and the PISA math, science and read<strong>in</strong>gtests were given <strong>in</strong> 2006, as those are theonly years <strong>in</strong> the 21st century when thatco<strong>in</strong>cidence occurred.22. A similar analysis could be madeus<strong>in</strong>g the 2007 Trends <strong>in</strong> International<strong>Math</strong>ematics and Science Study (TIMSS2007), which also adm<strong>in</strong>istered amathematics exam<strong>in</strong>ation to a representativesample of 8th grade students <strong>in</strong> the UnitedStates and 49 other countries around theworld (Mullis, Mart<strong>in</strong>, and Foy (2008)).However, as is discussed further below,TIMSS 2007 was not adm<strong>in</strong>istered tostudents <strong>in</strong> many <strong>in</strong>dustrialized (OECD)countries that out-scored the United Stateson the PISA.U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 11


United States Advanced <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> World <strong>Perspective</strong>23. Other countries participat<strong>in</strong>g <strong>in</strong> PISA2006 but not current members of the OECDwho had lower results than the US <strong>in</strong>cludeRussia (although not significantly so), Croatia,Uruguay, Romania, Brazil, Argent<strong>in</strong>a,Azerbaijan, Montenegro, Qatar, Tunisia,Colombia, Indonesia, Jordan and Kyrgyzstan.Overall ResultsThe percentage of public and private school students <strong>in</strong> the U.S. Class of 2009who were highly accomplished is well below that of most countries with whichthe U.S. generally compares itself. No less than 30 of the 56 other countriesthat participated <strong>in</strong> the PISA math test had a larger percentage of students whoscored at the <strong>in</strong>ternational equivalent of the advanced level. While just 6 percentof U.S. students earned at least 617.1 po<strong>in</strong>ts on the PISA 2006 exam, 28 percentof Taiwanese students did. (See Figure 1, p. 16, for these results as well as for therelative rank <strong>in</strong>ternationally of each <strong>in</strong>dividual U.S. state.)It is not only Taiwan that did dramatically better than the U.S. At least20 percent of students <strong>in</strong> Hong Kong, Korea, and F<strong>in</strong>land were also highlyaccomplished. Twelve other countries had more than twice the percentage ofhighly accomplished students as the U.S.: In order of math excellence, they areSwitzerland, Belgium, the Netherlands, Liechtenste<strong>in</strong>, New Zealand, the CzechRepublic, Japan, Canada, Macao, Australia, Germany, and Austria.The rema<strong>in</strong><strong>in</strong>g countries that educate to a high level of accomplishment ahigher proportion of their students than the U.S. are Slovenia, Denmark, Iceland,France, Estonia, Sweden, the U.K., the Slovakia, Luxembourg, Hungary, Poland,Norway, Ireland and Lithuania.This 30-country list <strong>in</strong>cludes virtually all the advanced <strong>in</strong>dustrializedcountries of the world, most of whom are members of the OECD. The onlycountries currently members of the OECD countries that produce a smallerpercentage of advanced math students than the U.S. are Spa<strong>in</strong>, Italy, Israel,Portugal, Greece, Turkey, Chile and Mexico. 23 Additionally, 24 non-OECDcountries participated <strong>in</strong> PISA 2006.The percentage of students scor<strong>in</strong>g at the advanced level varies among the50 states. Massachusetts, with more than 11 percent advanced, does better thanany other state, but the percentage of students <strong>in</strong> the Massachusetts Class of2009 show<strong>in</strong>g advanced skills trails those of 14 countries. M<strong>in</strong>nesota rankedsecond among the 50 states; its level of performance is roughly equal to that ofFrance, Sweden, and Denmark. See Table 1 for a comparison of all states withperformances abroad.Even though California is known for its Silicon Valley, just 4.5 percent of thestudents <strong>in</strong> the Silicon Valley state are perform<strong>in</strong>g at a high level, a percentageroughly comparable to that of Portugal. The lowest rank<strong>in</strong>g states—WestVirg<strong>in</strong>ia, New Mexico, and Mississippi—have a smaller percentage of thehighest-perform<strong>in</strong>g students than do Serbia and Uruguay, although they edgeout Romania, Brazil, and Kyrgyzstan.12 educationnext.org hks.harvard.edu/pepg


United States Advanced <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> World <strong>Perspective</strong>Table 1Percentages of all students at the advanced level per state and countries with similar and higher percentagesat the advanced level <strong>in</strong> overall student populationPercent Significantly Countries with similar percentagesState advanced outperformed by* of advanced students**1. Massachusetts 11.4% 14 Austria • Germany • Denmark • France • Iceland • Slovenia2. M<strong>in</strong>nesota 10.8 16 Denmark • Estonia • France • Iceland • Slovenia • Sweden3. Vermont 8.8 22 U.K. • Hungary • Ireland • Luxembourg • Norway • Poland • Slovakia4. New Jersey 8.7 18 Estonia • France • U.K. • Hungary • Ireland • Iceland • Lithuania • Luxembourg • Norway • Poland • Slovakia • Sweden4. Wash<strong>in</strong>gton 8.7 21 U.K. • Hungary • Ireland • Lithuania • Luxembourg • Norway • Poland • Slovakia • Sweden6. Virg<strong>in</strong>ia 7.9 22 U.K. • Hungary • Ireland • Lithuania • Luxembourg • Norway • Poland • Slovakia7. Connecticut 7.8 23 Hungary • Ireland • Lithuania • Luxembourg • Norway • Poland • Slovakia8. Oregon 7.3 25 Hungary • Ireland • Lithuania • Poland9. North Carol<strong>in</strong>a 7.1 27 Slovakia • Ireland • Lithuania • Poland10. Maryland 6.8 29 Lithuania • Russia11. South Carol<strong>in</strong>a 6.7 29 Lithuania • Russia11. Wiscons<strong>in</strong> 6.7 29 Lithuania • Russia13. Ohio 6.6 29 Lithuania • Russia14. New Hampshire 6.5 29 Lithuania • Russia14. South Dakota 6.5 29 Lithuania • Russia16. Colorado 6.3 29 Spa<strong>in</strong> • Lithuania • Russia16. New York 6.3 29 Lithuania • Russia18. Texas 6.2 29 Lithuania • RussiaUnited States 6.0 30 Russia19. Nebraska 6.0 29 Spa<strong>in</strong> • Lithuania • Russia20. Alaska 5.8 30 Spa<strong>in</strong> • Latvia • Russia21. Iowa 5.7 30 Spa<strong>in</strong> • Latvia • Russia21. Pennsylvania 5.7 30 Spa<strong>in</strong> • Israel • Italy • Lithuania • Latvia • Russia23. Montana 5.6 30 Spa<strong>in</strong> • Latvia • Russia24. Michigan 5.5 30 Spa<strong>in</strong> • Israel • Italy • Latvia • Russia25. Ill<strong>in</strong>ois 5.4 30 Spa<strong>in</strong> • Israel • Italy • Latvia • Russia26. Kansas 5.2 30 Spa<strong>in</strong> • Israel • Italy • Latvia • Russia27. Indiana 5.1 30 Spa<strong>in</strong> • Israel • Italy • Latvia • Russia28. Delaware 5.0 32 Israel • Italy • Latvia28. Ma<strong>in</strong>e 5.0 32 Israel • Italy • Latvia30. North Dakota 4.8 32 Israel • Italy • Latvia • Portugal • Turkey31. Utah 4.7 32 Israel • Italy • Latvia • Portugal • Turkey32. Arizona 4.6 33 Israel • Italy • Portugal • Turkey32. Florida 4.6 32 Israel • Italy • Latvia • Portugal • Turkey34. California 4.5 33 Israel • Italy • Portugal • Turkey34. Idaho 4.5 33 Israel • Italy • Portugal • Turkey36. Georgia 4.3 34 Greece • Israel • Portugal • Turkey37. Missouri 4.1 35 Greece • Portugal • Turkey38. Wyom<strong>in</strong>g 3.5 37 Croatia • Turkey39. Kentucky 3.4 37 Croatia • Turkey40. Rhode Island 3.3 37 Croatia • Turkey41. Nevada 3.1 38 Turkey42. Arkansas 3.0 38 Bulgaria • Turkey43. Tennessee 2.9 38 Bulgaria • Turkey44. Hawaii 2.5 38 Bulgaria • Turkey • Uruguay45. Oklahoma 2.4 38 Bulgaria • Serbia • Turkey • Uruguay46. Alabama 2.3 38 Bulgaria • Serbia • Turkey • Uruguay47. Louisiana 1.7 42 Bulgaria48. West Virg<strong>in</strong>ia 1.4 42 Bulgaria48. New Mexico 1.4 42 Bulgaria50. Mississippi 1.3 42 Turkey*Number of countries whose percent advanced was statistically significantly higher**Countries where the percentage of students at the advanced level did not differ significantly from state. If no country had similar percentage, the country with the percentage just higher than that of the state is listed.U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 13


United States Advanced <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> World <strong>Perspective</strong>Class of 2009: Percentage of students at advanced level <strong>in</strong> mathPercent at advanced level302520151050U.S. averageU.S.TexasNew YorkColoradoSouth DakotaNew HampshireOhioWiscons<strong>in</strong>South Carol<strong>in</strong>aMarylandNorth Carol<strong>in</strong>aLithuaniaOregonConnecticutIrelandVirg<strong>in</strong>iaNorwayPolandHungaryLuxembourgWash<strong>in</strong>gtonNew JerseyVermontSlovakiaU.K.SwedenEstoniaFranceIcelandM<strong>in</strong>nesotaDenmarkSloveniaMassachusettsAustriaGermanyAustraliaMacaoCanadaJapanCzech RepNew ZealandLiechtenste<strong>in</strong>NetherlandsBelgiumSwitzerlandF<strong>in</strong>landKoreaHong KongTaiwanClass of 2009: Percentage of white students <strong>in</strong> U.S. states at advanced level <strong>in</strong> math andPercent at advanced level302520151050U.S.white studentaverageU.S.NorwayColoradoPolandAlaskaHungaryLuxembourgSlovakiaVermontU.K.Wash<strong>in</strong>gtonMarylandNorth Carol<strong>in</strong>aSwedenEstoniaFranceIcelandVirg<strong>in</strong>iaTexasConnecticutSouth Carol<strong>in</strong>aDenmarkSloveniaNew JerseyM<strong>in</strong>nesotaMassachusettsAustriaGermanyAustraliaMacaoCanadaJapanCzech RepNew ZealandLiechtenste<strong>in</strong>NetherlandsBelgiumSwitzerlandF<strong>in</strong>landKoreaHong KongTaiwanClass of 2009: Percentage of students with at least a college-educated parent <strong>in</strong> U.S. states at advancedPercent at advanced level302520151050U.S. averagefor studentsof collegeeducated parentsU.S.Wiscons<strong>in</strong>ColoradoOhioDenmarkSouth Carol<strong>in</strong>aSloveniaMarylandTexasNorth Carol<strong>in</strong>aConnecticutOregonNew JerseyVirg<strong>in</strong>iaAustriaGermanyAustraliaVermontWash<strong>in</strong>gtonMacaoCanadaJapanM<strong>in</strong>nesotaCzech RepNew ZealandLiechtenste<strong>in</strong>MassachusettsNetherlandsBelgiumSwitzerlandF<strong>in</strong>landKoreaHong KongTaiwanNote: Excludes participat<strong>in</strong>g countries below 1 percent: Romania, Brazil, Argent<strong>in</strong>a, Azerbaijan, Mexico, Montenegro, Qatar, Tunisia, Columbia, Indonesia, Jordan, and Kyrgyzstan.16 educationnext.org hks.harvard.edu/pepg


United States Advanced <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> World <strong>Perspective</strong><strong>in</strong> U.S. states and countries participat<strong>in</strong>g <strong>in</strong> PISA 2006. (Figure 1)U.S. averageThailandChileMississippiNew MexicoWest Virg<strong>in</strong>iaLouisianaSerbiaAlabamaOklahomaBulgariaUruguayHawaiiTennesseeArkansasNevadaRhode IslandKentuckyWyom<strong>in</strong>gTurkeyCroatiaGreeceMissouriGeorgiaPortugalIdahoCaliforniaFloridaArizonaUtahNorth DakotaIsraelItalyMa<strong>in</strong>eDelawareIndianaKansasLatviaIll<strong>in</strong>oisMichiganMontanaPennsylvaniaSpa<strong>in</strong>IowaAlaskaRussiaNebraskaU.S.percentage of all students at that level <strong>in</strong> countries participat<strong>in</strong>g <strong>in</strong> PISA 2006. (Figure 2)U.S.white studentaverageThailandChileWest Virg<strong>in</strong>iaSerbiaBulgariaUruguayMississippiLouisianaOklahomaNew MexicoHawaiiTurkeyCroatiaAlabamaKentuckyTennesseeArkansasWyom<strong>in</strong>gGreeceRhode IslandPortualNevadaIsraelItalyMissouriIdahoMa<strong>in</strong>eNorth DakotaLatviaUtahSpa<strong>in</strong>IndianaRussiaMontanaIowaKansasGeorgiaPennsylvaniaNew HampshireMichiganNebraskaDelawareFloridaLithuaniaCaliforniaSouth DakotaIll<strong>in</strong>oisArizonaWiscons<strong>in</strong>OhioNew YorkIrelandOregonU.S.level <strong>in</strong> math and percentage of all students at that level <strong>in</strong> countries participat<strong>in</strong>g <strong>in</strong> PISA 2006. (Figure 3)U.S. averagefor studentsof collegeeducated parentsThailandChileSerbiaMississippiBulgariaUruguayNew MexicoLouisianaWest Virg<strong>in</strong>iaTurkeyCroatiaGreeceHawaiiOklahomaPortugalAlabamaIsraelItalyLatviaWyom<strong>in</strong>gArkansasSpa<strong>in</strong>Rhode IslandTennesseeRussiaNevadaNorth DakotaKentuckyMissouriLithuaniaIdahoMa<strong>in</strong>eUtahIrelandGeorgiaFloridaDelawareNorwayMichiganPolandMontanaHungaryLuxembourgKansasSlovakiaIowaU.K.NebraskaIll<strong>in</strong>oisIndianaSouth DakotaCaliforniaPennsylvaniaArizonaNew YorkSwedenEstoniaFranceIcelandNew HampshireU.S.U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 17


United States Advanced <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> World <strong>Perspective</strong>Class of 2009: Percentage of at advanced level <strong>in</strong> math <strong>in</strong> U.S.Percent at advanced level302520151050TaiwanHong KongKoreaF<strong>in</strong>landSwitzerlandBelgiumNetherlandsLiechtenste<strong>in</strong>New ZealandCzech RepJapanCanadaMacaoAustraliaGermanyAustriaSloveniaDenmarkIcelandFranceEstoniaSwedenU.K.Aust<strong>in</strong>SlovakiaCharlotteLuxembourgHungaryPolandNorwayU.S. averageU.S.BostonLithuaniaIrelandNote: See note to Figure 3.24. This is only an estimate of parentaleducation, as students tend to over-reportparental atta<strong>in</strong>ment. In a study of highschool sophomores, where parents reportedtheir own education, 38 percent reportedthat at least one parent had a college diploma(Education Longitud<strong>in</strong>al Study of 2002).Children of Parents with a College DegreeAnother possibility is that schools help students reach levels of highaccomplishment if parents are provid<strong>in</strong>g the necessary support. To explore thispossibility, we assumed that students who reported that at least one parent hadgraduated from college were most likely to be given the k<strong>in</strong>d of support that isneeded to reach high levels of achievement. Approximately 45 percent of all U.S.students reported that at least one parent had a college degree. 24When we compared these U.S. students from highly educated families toall students <strong>in</strong> other countries, without regard to their parents’ education, weexpected to f<strong>in</strong>d that the U.S. would place among the world leaders. But as canbe seen <strong>in</strong> Figure 3, p. 16, the percentage of students <strong>in</strong> the Class of 2009 whoseparent had graduated from college and who are perform<strong>in</strong>g at the advancedlevel is just 10.3 percent of the total. Students <strong>in</strong> 16 countries, no matter theirparents’ educational atta<strong>in</strong>ment, out-rank this more-advantaged segment ofthe U.S. population.The percentage of Ill<strong>in</strong>ois students from college-educated families whoare highly accomplished, 9 percent, is similar to the percentage of all students<strong>in</strong> France and Great Brita<strong>in</strong>. Rhode Island’s students from college-educatedbackgrounds, 6 percent of whom are advanced, are do<strong>in</strong>g no better than all thestudents <strong>in</strong> Italy and Spa<strong>in</strong>. Uruguay and Bulgaria produce a similar proportion18 educationnext.org hks.harvard.edu/pepg


United States Advanced <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> World <strong>Perspective</strong>urban districts and countries participat<strong>in</strong>g <strong>in</strong> PISA 2006. (Figure 4)U.S. averageThailandChileAtlantaLos AngelesChicagoDCSebiaHoustonBulgariaUruguayTurkeyCroatiaGreeceSan DiegoPortugalNYCIsraelItalyLatviaSpa<strong>in</strong>RussiaU.S.of advanced students—about 2 percent—as is found among children of thecollege-educated <strong>in</strong> Mississippi. Table 3, p.20, provides the percentage ofstudents from college-educated backgrounds who perform at the advanced level<strong>in</strong> each state <strong>in</strong> comparison with all students <strong>in</strong> countries abroad.Urban School DistrictsGiven the comparatively low performance of students from families where aparent has a college degree, it is not surpris<strong>in</strong>g to learn that the percentage ofhigh-achiev<strong>in</strong>g students attend<strong>in</strong>g schools <strong>in</strong> urban school districts generallytrails that <strong>in</strong> other countries by an especially wide marg<strong>in</strong>. In Figure 4, that<strong>in</strong>formation is displayed <strong>in</strong> the same way as the <strong>in</strong>formation for states wasdisplayed <strong>in</strong> the three preced<strong>in</strong>g figures.The percentages of highly accomplished students <strong>in</strong> the three university citiesof Aust<strong>in</strong> (Texas), Charlotte (North Carol<strong>in</strong>a), and Boston (Massachusetts) arehigher than found <strong>in</strong> the U.S. as a whole. New York City trails Israel but slightlyoutperforms Portugal. San Diego, Houston, Wash<strong>in</strong>gton, D. C., Chicago, LosAngeles, and Atlanta are all clustered below Uruguay and Bulgaria but aboveChile, Thailand, Romania, Brazil, and Mexico. In other words, the ability ofthe schools <strong>in</strong> these districts to lift student performance to the highest level isroughly equal to that of schools <strong>in</strong> a Lat<strong>in</strong> American country.U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 19


United States Advanced <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> World <strong>Perspective</strong>Table 3Percentages of advanced students with a college educated parent per state and countries with similarand higher percentages advanced <strong>in</strong> overall student populationPercent Significantly Countries with similar percentagesState advanced outperformed by* of advanced students1. Massachusetts 17.1% 4 Belgium • Canada • Switzerland • Czech Rep • Japan • Liechtenste<strong>in</strong> • Netherlands • New Zealand2. M<strong>in</strong>nesota 15.7 5 Australia • Austria • Canada • Switzerland • Czech Rep • Germany • Japan • Liechtenste<strong>in</strong> • Macao • Netherlands • New Zealand3. Wash<strong>in</strong>gton 14.1 7 Australia • Austria • Canada • Czech Rep • Germany • Japan • Liechtenste<strong>in</strong> • Macao • New Zealand • Slovenia4. Vermont 14.0 7 Australia • Austria • Canada • Czech Rep • Germany • Japan • Liechtenste<strong>in</strong> • Macao • New Zealand5. Virg<strong>in</strong>ia 13.0 7 Australia • Austria • Canada • Czech Rep • Germany • Denmark • Japan • Liechtenste<strong>in</strong> • Macao • New Zealand • Slovenia6. New Jersey 12.9 7 Australia • Austria • Canada • Czech Rep • Germany • Denmark• Japan • Liechtenste<strong>in</strong> • Macao • New Zealand • Slovenia7. Oregon 12.7 8 Australia • Austria • Canada • Czech Rep • Germany • Denmark • Japan • Liechtenste<strong>in</strong> • Macao • Slovenia8. Connecticut 12.5 11 Australia • Austria • Germany • Denmark • Liechtenste<strong>in</strong> • Macao • Slovenia8. North Carol<strong>in</strong>a 12.5 7 Australia • Austria • Canada • Czech Rep • Germany • Denmark • Estonia • France • Iceland • Japan • Liechtenste<strong>in</strong> • MacaoNew Zealand • Slovakia • Slovenia • Sweden10. Texas 11.7 14 Austria • Germany • Denmark • Slovenia11. Maryland 11.6 12 Australia • Austria • Germany • Denmark • Estonia • France • Iceland • Liechtenste<strong>in</strong> • Slovenia • Sweden12. South Carol<strong>in</strong>a 11.3 14 Austria • Germany • Denmark • Estonia • France • Iceland • Slovakia • Slovenia • Sweden13. Ohio 11.0 14 Austria • Germany • Denmark • Estonia • France • Iceland • Slovakia • Slovenia • Sweden13. Colorado 11.0 12 Australia • Austria • Germany • Denmark • Estonia • France • U.K. • Hungary • Iceland • Liechtenste<strong>in</strong> • Poland • SlovakiaSlovenia • Sweden15. Wiscons<strong>in</strong> 10.8 14 Hungary • Ireland • Lithuania • Luxembourg • Norway • Poland • SlovakiaUnited States 10.3 17 Denmark • Estonia • France • Iceland • Sweden16. New Hampshire 10.2 16 Denmark • Estonia • France • U.K. • Hungary • Iceland • Luxembourg • Poland • Slovakia • Slovenia • Sweden17. New York 10.0 17 Denmark • Estonia • France • U.K. • Hungary • Iceland • Poland • Slovakia • Sweden18. Arizona 9.6 17 Denmark • Estonia • France • U.K. • Hungary • Iceland • Luxembourg • Norway • Poland • Slovakia • Sweden18. Pennsylvania 9.6 16 Denmark • Estonia • France • U.K. • Hungary • Ireland • Iceland • Luxembourg • Norway • Poland • Slovakia • Slovenia • Sweden20. California 9.5 17 Denmark • Estonia • France • U.K. • Hungary • Iceland • Luxembourg • Poland • Slovakia • Sweden21. South Dakota 9.3 17 Denmark • Estonia • France • U.K. • Hungary • Iceland • Luxembourg • Norway • Poland • Slovakia • Sweden22. Indiana 9.1 17 Denmark • Estonia • France • U.K. • Hungary • Ireland • Iceland • Lithuania • Luxembourg • Norway • Poland • Slovakia • Sweden22. Ill<strong>in</strong>ois 9.1 17 Denmark • Estonia • France • U.K. • Hungary • Ireland • Iceland • Lithuania • Luxembourg • Norway • Poland • Slovakia • Sweden24. Nebraska 9.0 18 Estonia • France • U.K. • Hungary • Iceland • Luxembourg • Norway • Poland • Slovakia • Sweden24. Iowa 9.0 18 Estonia • France • U.K. • Hungary • Ireland • Iceland • Lithuania • Luxembourg • Norway • Poland • Slovakia • Sweden26. Kansas 8.8 18 Estonia • France • U.K. • Hungary • Ireland • Iceland • Lithuania • Luxembourg • Norway • Poland • Slovakia • Sweden27. Montana 8.5 22 U.K. • Hungary • Ireland • Lithuania • Luxembourg • Norway • Poland • Slovakia27. Michigan 8.5 17 Denmark • Estonia • France • U.K. • Hungary • Ireland • Iceland • Lithuania • Luxembourg • Norway • Poland • RussiaSlovakia • Sweden29. Delaware 8.1 22 U.K. • Hungary • Ireland • Lithuania • Luxembourg • Norway • Poland • Slovakia30. Florida 8.0 22 U.K. • Hungary • Ireland • Lithuania • Luxembourg • Norway • Poland • Slovakia31. Georgia 7.9 22 U.K. • Hungary • Ireland • Lithuania • Luxembourg • Norway • Poland • Slovakia32. Utah 7.5 24 Hungary • Ireland • Lithuania • Norway • Poland • Slovakia33. Ma<strong>in</strong>e 7.4 24 Hungary • Ireland • Lithuania • Norway • Poland • Slovakia34. Idaho 7.3 23 Hungary • Ireland • Lithuania • Luxembourg • Norway • Poland • Russia • Slovakia35. Missouri 6.9 17 Denmark • Estonia • France • U.K. • Hungary • Ireland • Iceland • Lithuania • Luxembourg • Norway • Poland • RussiaSlovakia • Sweden36. Kentucky 6.6 25 Spa<strong>in</strong> • Hungary • Ireland • Lithuania • Latvia • Poland • Russia • Slovakia37. North Dakota 6.4 29 Spa<strong>in</strong> • Lithuania • Latvia • Russia38. Nevada 6.2 27 Spa<strong>in</strong> • Ireland • Israel • Italy • Lithuania • Latvia • Poland • Portugal • Russia • Turkey39. Tennessee 5.8 29 Spa<strong>in</strong> • Israel • Italy • Lithuania • Latvia • Russia39. Rhode Island 5.8 29 Spa<strong>in</strong> • Israel • Italy • Lithuania • Latvia • Russia41. Arkansas 5.4 30 Spa<strong>in</strong> • Israel • Italy • Latvia42. Wyom<strong>in</strong>g 5.3 30 Russia • Spa<strong>in</strong> • Israel • Italy • Latvia • Portugal • Russia • Turkey43. Alabama 4.6 29 Bulgaria • Spa<strong>in</strong> • Greece • Croatia • Israel • Italy • Lithuania • Latvia • Portugal • Russia • Turkey44. Oklahoma 4.3 33 Greece • Israel • Italy • Portugal45. Hawaii 4.2 33 Turkey • Greece • Croatia • Israel • Italy • Portugal • Turkey46. West Virg<strong>in</strong>ia 3.0 37 Bulgaria • Croatia • Turkey46. Louisiana 3.0 35 Bulgaria • Greece • Croatia • Portugal • Serbia • Turkey • Uruguay48. New Mexico 2.9 37 Bulgaria • Croatia • Turkey • Uruguay49. Mississippi 2.2 38 Bulgaria • Serbia • Turkey • Uruguay* Number of countries whose percent advanced was statistically significantly higher20 educationnext.org hks.harvard.edu/pepg


Did No Child Left Beh<strong>in</strong>d Shift the Focus Away from the Best and the Brightest?Did No Child Left Beh<strong>in</strong>d Shift theFocus Away from the Best and the Brightest?Some attribute the comparatively small percentages of students perform<strong>in</strong>g at theadvanced level to the focus of the 2002 federal accountability statute, No ChildLeft Beh<strong>in</strong>d (NCLB), on the educational needs of very low perform<strong>in</strong>g students. 25That law mandates that every student be brought up to the level a state deemsproficient, a standard that most states set well below the NAEP standard of fullproficiency, to say noth<strong>in</strong>g of the advanced level that is the focus of this report.In order to comply with the federal law, some assert, schools are concentrat<strong>in</strong>gall available resources on the educationally deprived, leav<strong>in</strong>g advanced studentsto fend for themselves. If so, then we should see a decl<strong>in</strong>e <strong>in</strong> the percentage ofstudents perform<strong>in</strong>g at NAEP’s advanced level subsequent to the passage of the2002 federal law. In mathematics, however, the opposite has happened. As canbe seen <strong>in</strong> Figure 5, the percentage perform<strong>in</strong>g at the advanced level was only 3.7percent <strong>in</strong> 1996 and 4.7 percent <strong>in</strong> the year 2000. But the percentage perform<strong>in</strong>g atthat level subsequently climbed to 7.9 percent by 2009. If one assumes that NCLBdid not have an impact on schools until after 2003, the <strong>in</strong>crement <strong>in</strong> the percentageadvanced is from 5.4 percent <strong>in</strong> that year to 7.9 percent <strong>in</strong> 2009. 26Percentage of 8th grade students at the advanced level and belowbasic level <strong>in</strong> mathematics on National Assessment of EducationalProgress, 1996 to 2009. (Figure 5)Percent At Advanced Level199620002003200520072009Percent Below Basic Level1996200020032005200720090 5 10 15 20 25 30 35 40PercentageThe <strong>in</strong>capacityof American schoolsto br<strong>in</strong>g studentsup to the highest level ofaccomplishment<strong>in</strong> mathematicsis much moredeep-seated thananyth<strong>in</strong>g <strong>in</strong>ducedby recent federallegislation25. Loveless (2008).26. Education historian Diane Ravitch,among others, has objected to identify<strong>in</strong>gNCLB effects as early as one year after thelaw was passed; see Ravitch (2010), p. 109.U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 21


Did No Child Left Beh<strong>in</strong>d Shift the Focus Away from the Best and the Brightest?27. Data available from authors uponrequest. Tom Loveless has reached quitedifferent conclusions from an exam<strong>in</strong>ation ofthis same <strong>in</strong>formation (Loveless, 2008). Hisf<strong>in</strong>d<strong>in</strong>gs depend upon his assumption thatNCLB was <strong>in</strong>fluenc<strong>in</strong>g school policy by 2000,two years before the law was enacted. Apartfrom the problems with this assumption, anyconclusions that are sensitive to the choice ofone or another year near the cusp are hardlyrobust; also his analysis extends only to 2007and high achievers showed a growth spurtbetween then and 2009.28. Dee and Jacob (2009) f<strong>in</strong>d no impact ofNCLB on NAEP read<strong>in</strong>g performance.29. Phillips (2007, 2009). For other studiesthat compare test-score performancesacross countries, see <strong>Hanushek</strong> andWoessmann (2010).It is true that the percentage perform<strong>in</strong>g below the basic level decreased, by6.8 percentage po<strong>in</strong>ts between 2000 and 2009, from 34.2 percent to 27.4 percent(see Figure 5, p.21), but that is only a 20 percent change, as compared to the 69percent change <strong>in</strong> the percentage advanced over the same period. One should notput any particular weight on percent changes <strong>in</strong> percentage po<strong>in</strong>ts, however, assuch calculations can be mislead<strong>in</strong>g. The most sensible <strong>in</strong>terpretation is that thepercentages of students deemed proficient at both the basic and advanced levels<strong>in</strong>creased noticeably dur<strong>in</strong>g the first decade of the 21st century.Perhaps NCLB’s passage <strong>in</strong> 2002 dampened the prior rate of growth <strong>in</strong> theachievement of high-perform<strong>in</strong>g students. To ascerta<strong>in</strong> whether that was thecase we compared the rate of change <strong>in</strong> the NAEP math scores of the top 10percent of all 8th graders between 1990 and 2003 (before NCLB had begun tobe implemented) with the rate of change after NCLB had become effective law.Between 1990 and 2003, the scores of the student at the 90th percentile rosefrom 307 to 321, an <strong>in</strong>crement of 14 po<strong>in</strong>ts, or a growth rate of 1.0 po<strong>in</strong>ts a year.Between 2003 and 2009, the shift upwards for the 90th percentile was another 8po<strong>in</strong>ts, or a change of 1.3 po<strong>in</strong>ts a year. 27These f<strong>in</strong>d<strong>in</strong>gs are consistent with work by Thomas Dee and Brian Jacob(2009), who have undertaken a more complex analysis of the impact of NCLB onNAEP scores. In addition to estimat<strong>in</strong>g impacts on average performance acrossstates, they estimate impacts on both very high and very low achiev<strong>in</strong>g students.Their study <strong>in</strong>dicates that NCLB had positive impacts on the math performanceof high-achiev<strong>in</strong>g students, even though larger impacts were observed for thoseat the bottom of the distribution. 28In short, the <strong>in</strong>capacity of American schools to br<strong>in</strong>g students up to thehighest level of accomplishment <strong>in</strong> mathematics is much more deep-seated thananyth<strong>in</strong>g <strong>in</strong>duced by recent federal legislation.22 educationnext.org hks.harvard.edu/pepg


The Optimistic View from Prior StudiesThe Optimistic View from Prior StudiesOur f<strong>in</strong>d<strong>in</strong>gs differ from two reports issued by Gary Phillips of the AmericanInstitutes of Research that compared the average performance <strong>in</strong> math of 8th-gradestudents <strong>in</strong> each of the 50 states with the average scores of 8th-grade students <strong>in</strong>other countries. 29 In his reports, Phillips relied on <strong>in</strong>formation from NAEP 2007and from math assessments <strong>in</strong> TIMSS: <strong>in</strong> his first report, achievement on TIMSS2003, and <strong>in</strong> his second report, achievement on TIMSS 2007. Phillips’ analysiscompares average student achievement across countries, not the percentage ofstudents perform<strong>in</strong>g at the advanced level, the focus of this report. His f<strong>in</strong>d<strong>in</strong>gs aredist<strong>in</strong>ctly more favorable to the U.S. than those shown by our analyses. While ourstudy <strong>in</strong>dicates that U.S. advanced student performance <strong>in</strong> math is tied for 31stplace among countries surveyed, Phillips, <strong>in</strong> both his 2007 and his 2009 reports,f<strong>in</strong>ds U.S. students, on average, to be perform<strong>in</strong>g better than all but 8 countries.The open<strong>in</strong>g sentences to the executive summary of his 2007 report drawsquite buoyant conclusions:This report provides <strong>in</strong>ternational benchmarks to help states seehow students are do<strong>in</strong>g <strong>in</strong> math with<strong>in</strong> an <strong>in</strong>ternational context.Good News—Most states are perform<strong>in</strong>g as well or better thanmost foreign countries.Bad News—The highest achiev<strong>in</strong>g states with<strong>in</strong> the U.S. are stillsignificantly below the highest achiev<strong>in</strong>g countries. 30The set of countriesto which we compare theU.S. is noticeably differentfrom the setof countries <strong>in</strong>cluded<strong>in</strong> the Phillipscomparisons.Why do two studies that seem to be employ<strong>in</strong>g generally similar methodologiesproduce such strik<strong>in</strong>gly different results?The answer to that puzzle is actually quite simple and has little to do with the factthat Phillips compares average student performance while our study focuses on thepercentage of advanced students. The key difference is that the set of countries towhich we compare the U.S. is noticeably different from the set of countries <strong>in</strong>cluded<strong>in</strong> the Phillips comparisons. Many OECD countries, <strong>in</strong>clud<strong>in</strong>g those that had a highpercentage of high-achiev<strong>in</strong>g students, participated <strong>in</strong> PISA 2006 (upon which ouranalysis is based) but did not participate <strong>in</strong> either TIMSS 2003 or TIMSS 2007 (thetwo surveys <strong>in</strong>cluded <strong>in</strong> the Phillips studies). In fact, 16 countries that outscored theU.S. on the PISA 2006 test did not participate <strong>in</strong> TIMSS 2003 (see Appendix TablesC.1 and C.2, p. 34-35). As a report by the U.S. National Center for Education Statisticshas expla<strong>in</strong>ed, “Differences <strong>in</strong> the set of counties that participate <strong>in</strong> an assessment canaffect how well the U.S. appears to do <strong>in</strong>ternationally when results are released.” 3130. Phillips (2007) p. 1. These f<strong>in</strong>d<strong>in</strong>gsreceived extensive media attention. Aspart of its favorable coverage, the NewYork Times quotes Thomas Toch, a formerco-director of Education Sector as say<strong>in</strong>g:“It shows we’re not do<strong>in</strong>g as badly as somesay.... We’re <strong>in</strong> the top half of the table,and a number of states are outperform<strong>in</strong>gthe majority of the nations <strong>in</strong> the study”(Dillon (2007)).31. Provasnik, Gonzales, and Miller(2009), p. 3. The report goes on to say:“One reason for this is that the averagestudent performance <strong>in</strong> developedcountries tends to be higher than <strong>in</strong>develop<strong>in</strong>g countries. As a result, theextent to which develop<strong>in</strong>g countriesparticipate <strong>in</strong> an assessment can affectthe <strong>in</strong>ternational average of participat<strong>in</strong>gcountries as well as the relative position ofone country compared with the others.”U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 23


The Optimistic View from Prior StudiesPut starkly, if one drops from a survey countries such as Canada, Denmark,F<strong>in</strong>land, France, Germany, and New Zealand, and <strong>in</strong>cludes <strong>in</strong>stead suchcountries as Bulgaria, Botswana, Ghana, Iran, and Lebanon, the average<strong>in</strong>ternational performance will drop, and the U.S. will look better relative tothe countries with which it is be<strong>in</strong>g compared. (See Appendix C for a furtherdiscussion of the Phillips studies.)Discussion and Conclusions32. <strong>Hanushek</strong> and Woessmann (2008,2010).<strong>Math</strong> performance of young people <strong>in</strong> their adolescent years is shaped bya multiplicity of factors both with<strong>in</strong> schools and outside of them. For thatreason we do not identify <strong>in</strong> this report any s<strong>in</strong>gle cause of the relativelysmall percentage of students <strong>in</strong> the U.S. who are perform<strong>in</strong>g at a high levelof accomplishment. Sources of the problem may lie <strong>in</strong> the lack of <strong>in</strong>itiativeamong students themselves, anti-educational pressures with<strong>in</strong> the adolescentpeer group culture, a lack of parental concern and support, anti-<strong>in</strong>tellectual<strong>in</strong>fluences with<strong>in</strong> the enterta<strong>in</strong>ment and mass media <strong>in</strong>dustries, a substantialm<strong>in</strong>ority population, high rates of <strong>in</strong>-migration, or even broader and deepersocietal <strong>in</strong>fluences. But even though we suspect that one or more of thesefactors is at work, some of our f<strong>in</strong>d<strong>in</strong>gs po<strong>in</strong>t specifically to problematicelements with<strong>in</strong> the nation’s schools. That even relatively advantaged groups<strong>in</strong> American society—white students and those with a parent who has a collegeeducation—do not generate a high percentage of students who achieve at theadvanced level <strong>in</strong> math suggests, we submit, that schools are fail<strong>in</strong>g to teachstudents effectively.Rais<strong>in</strong>g the numbers of students perform<strong>in</strong>g at the highest level is not likelyto be accomplished simply by allocat<strong>in</strong>g more dollars to our public schools.The U.S. is already among the world leaders <strong>in</strong> expenditures per pupil <strong>in</strong> K–12education, and the correlation between expenditures and achievement acrossOECD countries is virtually nil. 32 Spend<strong>in</strong>g more money on schools at a time ofeconomic distress seems not only <strong>in</strong>feasible but also unlikely to produce the k<strong>in</strong>dof changes that are needed if the U.S. is to rema<strong>in</strong> among the highly productivecountries of the world.This is not the place to identify the policy changes that might fosterexcellence. But we do note that policy <strong>in</strong>itiatives have <strong>in</strong> recent years focusedon the educational needs of low-perform<strong>in</strong>g students, a commendable target ofpolicy. We see no sign that NCLB has been harmful to the highest-perform<strong>in</strong>gstudents. But we do fear that this policy environment leaves the impression that24 educationnext.org hks.harvard.edu/pepg


Discussion and Conclusionsthere is no similar need to enhance the education of those students the STEMcoalition has called “the best and brightest.”In its 2010 report, the “Ris<strong>in</strong>g above the Gather<strong>in</strong>g Storm,” Committeeof the National Academy of Sciences issued a second call for reform and<strong>in</strong>novation <strong>in</strong> math and science education. 33 “Our overall public schoolsystem...has shown little sign of improvement, particularly <strong>in</strong> mathematicsand science,” it declared. Meanwhile, “many other nations have been markedlyprogress<strong>in</strong>g, thereby affect<strong>in</strong>g America’s relative ability to compete effectivelyfor new factories, research laboratories, adm<strong>in</strong>istrative centers—and jobs.While this progress by other nations is to be both encouraged and welcomed,so too is the notion that Americans wish to cont<strong>in</strong>ue to be among those peopleswho do prosper.” As its frontispiece, the report quotes Nobel Laureate SirErnest Rutherford: “Gentlemen, we have run out of money. It is time to startth<strong>in</strong>k<strong>in</strong>g.” We heartily agree. That is the idea that motivates this study.33. Members of the 2005 “Ris<strong>in</strong>g Above theGather<strong>in</strong>g Storm” Committee (2010)U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 25


Appendix AAPPENDIX AU.S. Science and Read<strong>in</strong>g <strong>Performance</strong><strong>in</strong> Comparative <strong>Perspective</strong>This report emphasizes math performance because that is the subject mostclosely correlated with <strong>in</strong>crements <strong>in</strong> economic productivity and the subject forwhich common tests can be most readily designed for students com<strong>in</strong>g fromdifferent language and cultural backgrounds. Two technical considerationshave also dissuaded us from plac<strong>in</strong>g much emphasis on differences amongnations <strong>in</strong> the percentage of students perform<strong>in</strong>g at the advanced level <strong>in</strong>science and read<strong>in</strong>g. Accord<strong>in</strong>g to NAEP, only 3 percent of all U.S. studentsare said to have reached an advanced level of proficiency <strong>in</strong> these subjects. Thatshould not be <strong>in</strong>terpreted as show<strong>in</strong>g that U.S. students are even more poorlytaught <strong>in</strong> science and read<strong>in</strong>g than <strong>in</strong> math. Rather, NAGB set the advancedproficiency standard <strong>in</strong> these two subjects at levels that were so high that only 3percent of U.S. students could atta<strong>in</strong> them. Any standard set that high isolatessuch a small percentage of the population that it <strong>in</strong>troduces the possibility ofconsiderable error <strong>in</strong> measur<strong>in</strong>g cross-country differences. Simply put, the testsmay be subject to considerable error when viewed at a cutoff so far from theaverage performance.A second consideration arises with respect to the read<strong>in</strong>g estimates. BecausePISA was mal-adm<strong>in</strong>istered with<strong>in</strong> the U.S. <strong>in</strong> 2006, no PISA results are reportedfor that year. Thus, we cannot look directly at the Class of 2009 for read<strong>in</strong>g, aswe can <strong>in</strong> the case of math and science. Rather, we have to estimate results forthat year by perform<strong>in</strong>g a similar analysis for the Class of 2006, with properadjustments for the Class of 2009. That requires more assumptions than <strong>in</strong> themath and science analyses (see Appendix B for further methodological details).For those who nonetheless wish to make comparisons <strong>in</strong> these subject areas,Figures A.1 and A.2 as well as Tables A.1, A.2 and A.3 present results for thescience and read<strong>in</strong>g performances of the Class of 2009. The reader is urged toperuse these results cautiously. The only conclusion we are will<strong>in</strong>g to draw is thatthe U.S. trails many other countries <strong>in</strong> science and read<strong>in</strong>g as well, although thelag is not as pronounced as <strong>in</strong> mathematics.26 educationnext.org hks.harvard.edu/pepg


Appendix ATable A.1Percentage of students <strong>in</strong> selected urban districts <strong>in</strong> the United States who are atthe advanced level on NAEP 2005CityPercent advanced <strong>in</strong>...<strong>Math</strong> Science Read<strong>in</strong>gAtlanta 1.3% (0.4) 0.7% (0.3) 1.0% (0.5)Aust<strong>in</strong> 8.9 (1.2) 3.9 (0.6) 3.1 (0.8)Boston 6.3 (1.1) 0.6 (0.4) 1.9 (0.7)Charlotte 8.6 (0.9) N/A N/A 3.2 (0.5)Chicago 1.7 (0.6) 0.7 (0.3) 1.1 (0.3)Houston 2.2 (0.5) 1.2 (0.3) 1.0 (0.3)Los Angeles 1.7 (0.4) 0.5 (0.3) 0.8 (0.3)NYC 4.5 (1.1) 1.6 (0.4) 1.4 (0.4)San Diego 4.0 (0.7) 1.4 (0.4) 2.0 (0.7)All numbers are <strong>in</strong> percentage po<strong>in</strong>ts. Standard errors <strong>in</strong> parentheses.U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 27


Appendix AClass of 2009: Percentage of students at advanced level <strong>in</strong> science10Percent at advanced level9876543210F<strong>in</strong>landNew ZealandMassachusettsU.K.JapanAustraliaHong KongCanadaSloveniaWiscons<strong>in</strong>Liechtenste<strong>in</strong>TaiwanColoradoVirg<strong>in</strong>iaNetherlandsVermontNew HampshireCzech RepMichiganGermanyOhioNorth DakotaSouth DakotaIdahoNew JerseyM<strong>in</strong>nesotaConnecticutMontanaMarylandWash<strong>in</strong>gtonU.S. averageUSASwitzerlandOregonUtahEstoniaNote: Excludes participat<strong>in</strong>g countries below 0.5%.Class of 2009: Percentage of students at advanced level <strong>in</strong> read<strong>in</strong>g10Percent at advanced level9876543210KoreaNew ZealandF<strong>in</strong>landMassachusettsCanadaNew JerseyVermontPolandNew HampshireOhioIrelandMarylandMa<strong>in</strong>eConnecticutColoradoLiechtenste<strong>in</strong>SwedenWash<strong>in</strong>gtonWiscons<strong>in</strong>PennsylvaniaKansasVirg<strong>in</strong>iaNew YorkGermanyJapanRhode IslandBelgiumAustraliaCzech RepU.S. averageU.S.KentuckyHong KongM<strong>in</strong>nesotaNote: Excludes participat<strong>in</strong>g countries below 1%.28 educationnext.org hks.harvard.edu/pepg


Appendix A<strong>in</strong> U.S. states and countries participat<strong>in</strong>g <strong>in</strong> PISA 2006. (Figure A.1)U.S. averagePortugalHawaiiGreeceLatviaBulgariaMacaoSpa<strong>in</strong>ItalyRussiaNevadaNew MexicoLouisianaCroatiaLithuaniaAlabamaSlovakiaLuxembourgNorwayIsraelArkansasCaliforniaNorth Carol<strong>in</strong>aDenmarkArizonaIcelandWest Virg<strong>in</strong>iaPolandHungaryFloridaOklahomaSouth Carol<strong>in</strong>aRhode IslandFranceTexasTennesseeSwedenIndianaIll<strong>in</strong>oisBelgiumMa<strong>in</strong>eDelawareGeorgiaIrelandKoreaKentuckyAustriaWyom<strong>in</strong>gMissouriUSA<strong>in</strong> U.S. states and countries participat<strong>in</strong>g <strong>in</strong> PISA 2006. (Figure A.2)U.S. averagePortugalEstoniaChileNew MexicoOklahomaLatviaHawaiiLuxembourgLouisianaItalySlovak RepIcelandNevadaWest Virg<strong>in</strong>iaTennesseeIsraelDenmarkFranceCaliforniaArizonaDelawareArkansasAlabamaAlaskaSwitzerlandSouth DakotaSouth Carol<strong>in</strong>aMichiganFloridaTexasNetherlandsNorth Carol<strong>in</strong>aIndianaWyom<strong>in</strong>gUtahNorwayIdahoGeorgiaMissouriMontanaNebraskaIowaOregonAustriaIll<strong>in</strong>oisNorth DakotaU.K.U.S.U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 29


Appendix ATable A.2Percentage of students who are at the advanced level <strong>in</strong> all countriesparticipat<strong>in</strong>g <strong>in</strong> PISA 2006CountryPercent advanced <strong>in</strong>...<strong>Math</strong> Science Read<strong>in</strong>gThe U.S. trailsmany other countries <strong>in</strong>science andread<strong>in</strong>g as well,although the lag isnot as pronouncedas <strong>in</strong> mathematics.Argent<strong>in</strong>a 0.8% (0.3) 0.1% (0.1) 0.2% (0.1)Australia 13.6 (0.9) 5.6 (0.5) 3.1 (0.4)Austria 13.0 (1.1) 3.0 (0.4) 2.7 (0.4)Azerbaijan 0.6 (0.2) 0.0 (0.0) 0.0 (0.0)Belgium 19.0 (1.0) 2.7 (0.3) 3.1 (0.3)Brazil 0.8 (0.3) 0.1 (0.1) 0.3 (0.1)Bulgaria 2.4 (0.7) 0.9 (0.3) 0.6 (0.2)Canada 14.7 (1.0) 5.1 (0.4) 5.0 (0.5)Chile 1.0 (0.3) 0.4 (0.1) 1.0 (0.3)Colombia 0.3 (0.1) 0.0 (0.0) 0.1 (0.1)Croatia 3.6 (0.4) 1.3 (0.3) 0.7 (0.1)Czech Republic 15.7 (1.3) 4.1 (0.5) 3.0 (0.5)Denmark 11.0 (0.9) 1.8 (0.4) 1.6 (0.4)Estonia 10.1 (0.8) 3.5 (0.4) 1.0 (0.3)F<strong>in</strong>land 20.4 (1.2) 8.5 (0.6) 5.3 (0.6)France 10.1 (0.8) 2.3 (0.3) 1.6 (0.3)Germany 13.1 (1.0) 4.0 (0.4) 3.2 (0.4)Greece 3.9 (0.5) 0.8 (0.2) 0.7 (0.2)Hong Kong 23.9 (1.2) 5.3 (0.7) 3.0 (0.4)Hungary 8.6 (0.9) 1.9 (0.5) 0.9 (0.2)Iceland 10.1 (0.8) 1.8 (0.3) 1.4 (0.2)Indonesia 0.2 (0.2) 0.0 (0.0) 0.0 (0.0)Ireland 7.9 (0.7) 2.9 (0.4) 3.7 (0.5)Israel 4.8 (0.6) 1.6 (0.2) 1.5 (0.2)Italy 4.9 (0.5) 1.2 (0.2) 1.3 (0.2)Japan 15.1 (1.2) 5.7 (0.6) 3.1 (0.4)Jordan 0.2 (0.1) 0.1 (0.1) 0.0 (0.0)Korea 23.2 (1.7) 3.0 (0.6) 7.6 (1.1)Kyrgyzstan 0.0 (0.1) 0.0 (0.0) 0.0 (0.0)Latvia 5.3 (0.6) 0.9 (0.2) 1.1 (0.2)Liechtenste<strong>in</strong> 16.1 (1.8) 4.5 (1.2) 3.5 (1.3)Lithuania 7.2 (1.0) 1.3 (0.3) 0.9 (0.3)Luxembourg 8.6 (0.6) 1.6 (0.2) 1.2 (0.2)Macao 14.1 (0.7) 1.0 (0.2) 0.5 (0.1)Mexico 0.6 (0.2) 0.0 (0.0) 0.1 (0.0)Montenegro 0.6 (0.2) 0.0 (0.0) 0.1 (0.1)Netherlands 17.6 (1.1) 4.4 (0.5) 2.2 (0.5)New Zealand 15.9 (1.0) 7.8 (0.6) 6.2 (0.7)Norway 8.3 (0.6) 1.6 (0.3) 2.3 (0.3)Poland 8.5 (0.9) 1.8 (0.4) 3.9 (0.5)Portugal 4.4 (0.5) 0.5 (0.1) 1.0 (0.2)Qatar 0.5 (0.1) 0.1 (0.0) 0.2 (0.1)Romania 0.9 (0.3) 0.0 (0.0) 0.1 (0.1)Russia 6.0 (0.7) 1.2 (0.2) 0.3 (0.1)Serbia 2.1 (0.4) 0.1 (0.1) 0.0 (0.0)Slovakia 8.9 (1.0) 1.5 (0.3) 1.4 (0.3)Slovenia 11.4 (0.8) 5.0 (0.6) 0.8 (0.2)Spa<strong>in</strong> 5.7 (0.5) 1.1 (0.2) 0.3 (0.1)Sweden 10.0 (0.8) 2.6 (0.4) 3.4 (0.4)Switzerland 19.1 (1.3) 3.3 (0.5) 1.9 (0.3)Taiwan 28.0 (1.5) 4.4 (0.5) 0.9 (0.2)Thailand 1.0 (0.2) 0.0 (0.0) 0.0 (0.0)Tunisia 0.4 (0.2) 0.0 (0.0) 0.0 (0.0)Turkey 3.6 (1.1) 0.1 (0.1) 0.3 (0.2)U.K. 9.0 (0.6) 5.7 (0.4) 2.9 (0.3)U.S. 6.0 (0.7) 3.2 (0.4) 3.0 (0.3)Uruguay 2.4 (0.4) 0.3 (0.1) 0.9 (0.2)All numbers are <strong>in</strong> percentage po<strong>in</strong>ts. Standard errors <strong>in</strong> parentheses. U.S, results for Read<strong>in</strong>g arefrom PISA 2003 as no 2006 results are available (See Appendix B)30 educationnext.org hks.harvard.edu/pepg


Appendix ATable A.3Percentage of students <strong>in</strong> U.S. states who are at the advanced level on NAEP 2005Percent advanced <strong>in</strong>...<strong>Math</strong>ScienceRead<strong>in</strong>gAll White Students of a parent All AllState students students with College Education students studentsAlabama 2.3% (0.6) 3.6% (1.0) 4.6% (1.4) 1.4% (0.4) 1.8% (0.6)Alaska 5.8 (0.6) 8.5 (0.9) N/A N/A N/A N/A N/A N/AArizona 4.6 (0.4) 7.6 (0.9) 9.6 (1.0) 1.8 (0.4) 1.6 (0.3)Arkansas 3.0 (0.4) 3.8 (0.5) 5.4 (0.8) 1.7 (0.3) 1.7 (0.4)California 4.5 (0.4) 7.2 (0.7) 9.5 (0.9) 1.8 (0.2) 1.6 (0.2)Colorado 6.3 (0.8) 8.4 (1.0) 11.0 (1.4) 4.4 (0.6) 3.5 (0.5)Connecticut 7.8 (0.7) 10.6 (1.0) 12.5 (1.1) 3.7 (0.6) 3.5 (0.8)DC (DCPS) 1.8 (0.5) 37.0 (0.9) 4.3 (0.8) N/A N/A 1.1 (0.3)Delaware 5.0 (0.3) 7.1 (5.6) 8.1 (0.7) 2.8 (0.4) 1.7 (0.4)Florida 4.6 (0.7) 7.1 (1.0) 8.0 (1.1) 2.0 (0.3) 2.0 (0.3)Georgia 4.3 (0.5) 6.3 (0.9) 7.9 (1.1) 2.8 (0.4) 2.5 (0.5)Hawaii 2.5 (0.4) 3.4 (1.2) 4.2 (0.8) 0.7 (0.3) 1.2 (0.2)Idaho 4.5 (0.6) 5.0 (0.6) 7.3 (1.1) 3.8 (0.5) 2.4 (0.5)Ill<strong>in</strong>ois 5.4 (0.6) 7.6 (0.9) 9.1 (1.1) 2.6 (0.4) 2.7 (0.6)Indiana 5.1 (0.6) 5.9 (0.7) 9.1 (1.1) 2.6 (0.4) 2.2 (0.4)Iowa 5.7 (0.6) 6.2 (0.7) 9.0 (1.1) N/A N/A 2.6 (0.4)Kansas 5.2 (0.6) 6.3 (0.7) 8.8 (1.0) 0.0 (0.5) 3.4 (0.4)Kentucky 3.4 (0.5) 3.6 (0.6) 6.6 (1.1) 3.0 (0.3) 3.0 (0.5)Louisiana 1.7 (0.4) 2.6 (0.7) 3.0 (1.1) 1.3 (0.6) 1.2 (0.4)Ma<strong>in</strong>e 5.0 (0.5) 5.1 (0.5) 7.4 (0.9) 2.8 (0.6) 3.5 (0.5)Maryland 6.8 (0.7) 9.8 (1.1) 11.6 (1.2) 3.6 (0.6) 3.6 (0.5)Massachusetts 11.4 (0.8) 12.6 (1.0) 17.1 (1.3) 5.8 (0.6) 5.2 (0.7)Michigan 5.5 (0.8) 6.8 (1.2) 8.5 (1.5) 4.1 (0.6) 2.0 (0.5)M<strong>in</strong>nesota 10.8 (0.9) 12.3 (1.1) 15.7 (1.4) 3.7 (0.2) 3.0 (0.5)Mississippi 1.3 (0.3) 2.4 (0.7) 2.2 (0.7) 0.7 (0.5) 0.8 (0.3)Missouri 4.1 (0.5) 5.0 (0.7) 6.9 (1.0) 3.1 (0.5) 2.6 (0.4)Montana 5.6 (0.6) 6.0 (0.7) 8.5 (0.9) 3.7 (0.5) 2.6 (0.6)Nebraska 6.0 (0.6) 6.8 (0.7) 9.0 (0.8) N/A N/A 2.6 (0.4)Nevada 3.1 (0.5) 4.6 (0.8) 6.2 (1.2) 1.2 (0.2) 1.4 (0.5)New Hampshire 6.5 (0.7) 6.5 (0.7) 10.2 (1.2) 4.2 (0.9) 3.9 (0.5)New Jersey 8.7 (1.0) 11.5 (1.4) 12.9 (1.5) 3.7 (0.5) 4.3 (0.6)New Mexico 1.4 (0.3) 3.2 (0.7) 2.9 (0.8) 1.2 (0.3) 1.0 (0.2)New York 6.3 (0.5) 7.7 (0.8) 10.2 (0.8) N/A N/A 3.3 (0.5)North Carol<strong>in</strong>a 7.1 (0.8) 9.9 (1.1) 12.5 (1.7) 1.8 (0.5) 2.2 (0.4)North Dakota 4.8 (0.5) 5.3 (0.6) 6.4 (0.9) 3.9 (0.5) 2.9 (0.6)Ohio 6.6 (0.6) 7.6 (0.7) 11.0 (1.1) 4.0 (0.6) 3.7 (0.7)Oklahoma 2.4 (0.4) 3.0 (0.5) 4.3 (0.7) 2.1 (0.5) 1.1 (0.4)Oregon 7.3 (0.8) 7.9 (0.9) 12.7 (1.3) 3.4 (0.5) 2.6 (0.5)Pennsylvania 5.7 (0.8) 6.4 (0.8) 9.6 (1.2) N/A N/A 3.4 (0.5)Rhode Island 3.3 (0.5) 4.2 (0.5) 5.8 (1.0) 2.2 (0.4) 3.1 (0.4)South Carol<strong>in</strong>a 6.7 (0.7) 10.8 (1.2) 11.3 (1.2) 2.1 (0.4) 1.9 (0.4)South Dakota 6.5 (0.7) 7.3 (0.8) 9.3 (1.0) 3.8 (0.5) 1.9 (0.3)Tennessee 2.9 (0.4) 3.7 (0.5) 5.8 (0.9) 2.5 (0.5) 1.4 (0.4)Texas 6.2 (0.4) 10.6 (0.7) 11.7 (0.9) 2.3 (0.3) 2.2 (0.3)Utah 4.7 (0.6) 5.4 (0.6) 7.5 (0.8) 3.5 (0.5) 2.3 (0.4)Vermont 8.8 (0.7) 9.0 (0.7) 14.0 (1.1) 4.3 (0.5) 4.1 (0.4)Virg<strong>in</strong>ia 7.9 (0.9) 10.3 (1.3) 13.0 (1.5) 4.4 (0.6) 3.3 (0.5)Wash<strong>in</strong>gton 8.7 (0.8) 9.5 (1.1) 14.1 (1.4) 3.5 (0.4) 3.4 (0.4)West Virg<strong>in</strong>ia 1.4 (0.3) 1.3 (0.3) 3.0 (0.6) 1.8 (0.4) 1.4 (0.3)Wiscons<strong>in</strong> 6.7 (0.7) 7.6 (0.8) 10.8 (1.2) 4.7 (0.5) 3.4 (0.5)Wyom<strong>in</strong>g 3.5 (0.4) 3.8 (0.5) 5.3 (0.8) 3.1 (0.4) 2.2 (0.4)All numbers are <strong>in</strong> percentage po<strong>in</strong>ts. Standard errors <strong>in</strong> parentheses.U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 31


Appendix BAPPENDIX BMethodology for Compar<strong>in</strong>g U.S. Statesto International <strong>Performance</strong>The purpose of our analysis is to estimate the share of students <strong>in</strong> differentcountries that reach a competency level equivalent to the percentage of students<strong>in</strong> the U.S. who performed at the advanced level on NAEP 2005.For math, we start with the national share of 8th-grade U.S. students whoreach the advanced level on NAEP 2005: 6.04 percent. One year later, this willroughly be the cohort of 15-year-olds who participated <strong>in</strong> PISA 2006. Both testssurvey representative samples of the respective national student population.Thus, us<strong>in</strong>g the PISA 2006 microdata, we can calculate the PISA math test scoreat which the 93.96th percentile (100.00-6.04) of the U.S. student populationperforms. (All PISA calculations use the PISA sampl<strong>in</strong>g weights to yieldnationally representative estimates.) We do this separately for each of the fiveplausible values of test performance provided by PISA 2006. Across the fiveplausible values, the PISA score at which the 93.96th percentile of U.S. studentsperforms is on average 617.1 PISA po<strong>in</strong>ts.Next, for each country participat<strong>in</strong>g <strong>in</strong> the PISA 2006 test, we calculate theshare of students reach<strong>in</strong>g this cut-off po<strong>in</strong>t from the PISA microdata. We do thisseparately for each plausible value and then take the average of the five estimates.This provides an estimate of the share of students <strong>in</strong> each PISA country who reachthe level equivalent to the advanced level <strong>in</strong> 8th-grade math on NAEP 2005. Theequivalent shares of students who reach the advanced level <strong>in</strong> 8th-grade math <strong>in</strong>each U.S. state are taken from NAEP 2005. The same applies for those cities thattest representative samples of 8th graders on NAEP 2005.Issues with the U.S. PISA 2006 test <strong>in</strong> read<strong>in</strong>g require a slightly expandedprocedure. In the 2006 wave of the PISA test, no read<strong>in</strong>g results are availablefor the U.S. because of an error <strong>in</strong> pr<strong>in</strong>t<strong>in</strong>g the test booklets. Some of theread<strong>in</strong>g items had <strong>in</strong>correct <strong>in</strong>structions, and as a consequence the meanperformance <strong>in</strong> read<strong>in</strong>g could not be accurately estimated. However, PISA 2003read<strong>in</strong>g results for the U.S. are available, and equivalent NAEP proficiencyestimates are available for U.S. 8th-graders <strong>in</strong> the read<strong>in</strong>g component of NAEP2002. We are thus able to apply the proficiency shares from the NAEP 2002read<strong>in</strong>g test to the U.S. performance on PISA 2003 <strong>in</strong> order to calculate theequivalent PISA cut-off scores <strong>in</strong> read<strong>in</strong>g. S<strong>in</strong>ce both tests use the same scales<strong>in</strong> the two respective waves of the read<strong>in</strong>g test—PISA 2003 and 2006 and NAEP2002 and 2005—this allows us to aga<strong>in</strong> calculate the shares of other countries’32 educationnext.org hks.harvard.edu/pepg


Appendix Cstudents that reach these cut-off scores <strong>in</strong> PISA 2006 and compare them to theshares observed <strong>in</strong> the NAEP 2005 read<strong>in</strong>g test.Some of the calculated differences <strong>in</strong> performance may simply reflectsampl<strong>in</strong>g uncerta<strong>in</strong>ty or measurement error. We therefore calculate whetherthe observed differences among states and countries are statistically significant(at the 5 percent level). The requisite standard errors are computed us<strong>in</strong>gthe methodology described <strong>in</strong> Organization for Economic Co-operation andDevelopment (2009), Chapters 7-9. These standard errors account for bothsampl<strong>in</strong>g uncerta<strong>in</strong>ty (<strong>in</strong>clud<strong>in</strong>g the two-stage sampl<strong>in</strong>g design employedby PISA) and test unreliability (as captured by the five plausible values thatrepresent the underly<strong>in</strong>g probability distribution). NAEP 2007 standard errorsare provided from the NAEP website (http://nces.ed.gov/nationsreportcard/,accessed August 28, 2010). Tests of significance were not calculated for urbandistricts or for read<strong>in</strong>g and science test performances.APPENDIX CFurther Reflections on the Phillips StudiesF<strong>in</strong>d<strong>in</strong>gs reported two years later by Phillips <strong>in</strong> his 2009 report do not differmaterially from those he presented <strong>in</strong> 2007, as discussed <strong>in</strong> the ma<strong>in</strong> text of thisreport. However, <strong>in</strong> 2009 he <strong>in</strong>troduced a grad<strong>in</strong>g system that gave the U.S. andmost other countries mediocre grades on the familiar “A” to “F” scale. Althoughthe grad<strong>in</strong>g aspect of the report received the most attention, 1 it is arbitrary. Moreimportant is the fact that Phillips still found U.S. 8th graders to be perform<strong>in</strong>g ata level “not significantly different from the OECD average” and above the levelof a “broad cross-section of countries around the world.” The second reportwas less ebullient than the first, however, because the U.S.—and most othercountries—received a grade of “C” or worse. 2Phillips also found that <strong>in</strong>dividual states do much better vis-à-vis othercountries than we report. As can be seen <strong>in</strong> Figure 1, p.16, we f<strong>in</strong>d 44 of the 50states with<strong>in</strong> the U.S. to be perform<strong>in</strong>g below 23 other countries. Meanwhile,Phillips reported that 21 U.S. states were scor<strong>in</strong>g above the average for allOECD countries <strong>in</strong>cluded <strong>in</strong> his survey. Moreover, every s<strong>in</strong>gle state, <strong>in</strong>clud<strong>in</strong>gMississippi, the lowest-perform<strong>in</strong>g, was scor<strong>in</strong>g above the <strong>in</strong>ternational average. 3U.S. is noticeably different from the set of countries <strong>in</strong>cluded <strong>in</strong> the Phillipscomparisons. Many OECD countries, <strong>in</strong>clud<strong>in</strong>g those that had a high percentageof high-achiev<strong>in</strong>g students, participated <strong>in</strong> PISA 2006 (upon which our analysis1. Cavanagh (2009) F<strong>in</strong>n (2009).2. Phillips (2009), p. 2. The tone of the2009 report differs from the 2007 report,because Phillips gives the United States amediocre grade of “C,” a grade he gives tothe average of all OECD countries. But noparticular attention should be given to thespecific grades Phillips gives, as all grad<strong>in</strong>gschemes are arbitrary. Those familiar withthe rampant grade <strong>in</strong>flation <strong>in</strong> Americanhigher education know how easily a “C+”grade can <strong>in</strong>flate to an “A-.” Phillips does theopposite by creat<strong>in</strong>g a highly deflationarygrad<strong>in</strong>g scheme that gives a country an “A”only if the average score of its students is ator above the “advanced” level, which was setat the 94th percentile for all students tak<strong>in</strong>gthe TIMSS test. This is clearly an extremelyhigh standard, atta<strong>in</strong>ed by no country <strong>in</strong>the world. Even Hong Kong, where theaverage student was more than one standarddeviation above the assessment average, onlyreceived a B+. In our view, what counts is acountry’s level of achievement, not its gradeon some arbitrary scale.3. Phillips (2009), Table 4, pp. 24-25.U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 33


Appendix C4. Provasnik, Gonzales, and Miller (2009),p. 3. The report goes on to say: “Onereason for this is that the average studentperformance <strong>in</strong> developed countries tendsto be higher than <strong>in</strong> develop<strong>in</strong>g countries.As a result, the extent to which develop<strong>in</strong>gcountries participate <strong>in</strong> an assessmentcan affect the <strong>in</strong>ternational average ofparticipat<strong>in</strong>g countries as well as the relativeposition of one country compared with theothers.”5. Both PISA and TIMSS use a scale that hasa midpo<strong>in</strong>t of 500 and a standard deviationof 100, which produces a range of nearly1000. The midpo<strong>in</strong>t and standard deviationon the PISA refer to student performance forthose <strong>in</strong> OECD countries. On TIMSS theyrefer to student performance for those <strong>in</strong>the 45 countries who participated <strong>in</strong> TIMSS<strong>in</strong> 1995, each country weighted equally.To l<strong>in</strong>k results across time, TIMSS l<strong>in</strong>ks alltests taken s<strong>in</strong>ce 1995 to results obta<strong>in</strong>ed <strong>in</strong>that year. In 1995 the average for 7th- and8th-grade students on the TIMSS was 500po<strong>in</strong>ts, with a standard deviation 100 po<strong>in</strong>ts.That TIMSS norm was based upon resultsfrom all countries who participated <strong>in</strong> TIMSS1995, <strong>in</strong>clud<strong>in</strong>g 27 members of the OECD(where Scotland and England are consideredseparately), and 18 countries that were notmembers of the OECD, many of them fromthe develop<strong>in</strong>g world. The non-OECDcountries that participated <strong>in</strong> the 1995TIMSS were Argent<strong>in</strong>a, Bulgaria, Colombia,Cyprus, Hong Kong, Indonesia, Iran, Israel,Kuwait, Latvia, Lithuania, Philipp<strong>in</strong>es,Romania, Russia, S<strong>in</strong>gapore, Slovenia,South Africa, and Thailand. Because ofthis different norm<strong>in</strong>g of the tests, equallyperform<strong>in</strong>g students will have higher scoreson TIMSS tests than PISA tests, and so it isnot surpris<strong>in</strong>g that the United States averageon the TIMSS 2007 was 508 po<strong>in</strong>ts, while itsaverage on PISA 2006 was 474. Many OECDcountries decided not to participate <strong>in</strong> theTIMSS 2003 and TIMSS 2007, while othercountries have jo<strong>in</strong>ed, so the <strong>in</strong>ternationalaverage fell from 500 po<strong>in</strong>ts <strong>in</strong> 1995 to 466po<strong>in</strong>ts. Obviously, that should not be takenas evidence that students worldwide areperform<strong>in</strong>g at a lower level, but rather thatthe composition of countries participat<strong>in</strong>g <strong>in</strong>the TIMSS has changed over the years.is based) but did not participate <strong>in</strong> either TIMSS 2003 or TIMSS 2007 (the twosurveys <strong>in</strong>cluded <strong>in</strong> the Phillips studies). In fact, 16 countries that outscoredthe U.S. on the PISA 2006 test did not participate <strong>in</strong> TIMSS 2003 (see Table C.1and C.2). As a report by the U.S. National Center for Education Statistics hasexpla<strong>in</strong>ed, “Differences<strong>in</strong> the set of countiesthat participate <strong>in</strong> anassessment can affect howwell the U.S. appears todo <strong>in</strong>ternationally whenresults are released.” 4Other differences betweenour study and Phillips’s areless significant. Our attentionis focused on the percentageof students who are highachievers, while the focusof the Phillips study is onaverage student performance.But even if we shift our focusto differences <strong>in</strong> averageperformance, the two studiesyield dramatically differentf<strong>in</strong>d<strong>in</strong>gs. For example, theaverage U.S. score of 474po<strong>in</strong>ts on PISA 2006 falls wellshort of the OECD averageof 500 po<strong>in</strong>ts on this test. 5But on the TIMSS 2007, theU.S. average is 508 po<strong>in</strong>ts,a score almost equivalentto the OECD average of511 po<strong>in</strong>ts. The OECDaverages on the TIMSS aremislead<strong>in</strong>g, however, as theyare based on results fromjust the 11 OECD countriesthat participated <strong>in</strong> TIMSSTable C.1Countries scor<strong>in</strong>g higher than the United States onPISA 2006 and participation <strong>in</strong> TIMSSCountries participat<strong>in</strong>g<strong>in</strong> PISA 2006 whose studentshad a higher average scorethan did the United StatesPISA ScoreDid notparticipate<strong>in</strong> TIMSS2003Did notparticipate<strong>in</strong> TIMSS2007Taiwan 549F<strong>in</strong>land 548 • •Korea 547Hong Kong 547Netherlands 531 Switzerland 530 Canada 527 Macao 525 Liechtenste<strong>in</strong> 525 • •Japan 523New Zealand 522 •Australia 520Belgium 520 Estonia 515 Denmark 513 •Czech Republic 510 Iceland 506 Austria 505 Germany 504 • •Slovenia 504Sweden 502Ireland 501 France 496 Poland 495 • •U.K.* 495Slovakia 492 •Hungary 491Luxembourg 490 • •Norway 490Latvia 486 •Lithuania 486Spa<strong>in</strong> 480 • •Russia 476Azerbaijan 476 • •U.S. 474*Scotland and England participated separately <strong>in</strong> TIMSS 2003 and 2007. Wales andNorthern Ireland did not participate.34 educationnext.org hks.harvard.edu/pepg


Appendix C2007. As stated above, the other 19 OECD countries, many of them the high-scor<strong>in</strong>gcountries, did not participate <strong>in</strong> this assessment. Philips also compares states to an<strong>in</strong>ternational average that <strong>in</strong>cludes the scores from all 48 countries that participated<strong>in</strong> TIMSS 2007. That average of 461 is well below the U.S. score, but, of course, itTable C.2Countries participat<strong>in</strong>g<strong>in</strong> TIMSS but notPISA 2006TIMSS 2003Participants witha higher scorethan the U.S.S<strong>in</strong>gapore 605Korea 589Hong Kong 586Taiwan 585Japan 570Belgium-Flemish 537Netherlands 536Estonia 531Hungary 529Malaysia 508Latvia 508Russia 508Slovakia 508Australia 505U.S. 504TIMSS 2007Participants witha higher scorethan the U.S.Taiwan 598Korea 597S<strong>in</strong>gapore 593Hong Kong 572Japan 570Hungary 517England 513Russia 512U.S. 508Note: Countries <strong>in</strong> italic did notparticipate <strong>in</strong> PISA 2006.TIMSS2003ScoreTIMSS2007Score<strong>in</strong>cludes many develop<strong>in</strong>g countries. 6 In contrast, theofficial <strong>in</strong>ternational average for PISA is based strictly on theaverage for all countries that are members of the OECD.In his 2009 study, Phillips <strong>in</strong>dicates a preference forthe TIMSS 2007 over PISA 2006, because TIMSS 2007was adm<strong>in</strong>istered to 8th graders <strong>in</strong> the same year as NAEP2007, while PISA 2006 was adm<strong>in</strong>istered to 15-year-oldsone year after NAEP 2005 was adm<strong>in</strong>istered to 8th graders.Theoretically, the adm<strong>in</strong>istration of the two tests to the samegrade levels <strong>in</strong> the same year is an advantage when mak<strong>in</strong>g<strong>in</strong>ternational comparisons. But, practically speak<strong>in</strong>g, thatadvantage is relatively m<strong>in</strong>or. Phillips himself gets much thesame results regardless of whether he compares NAEP 2007results to TIMSS 2003 (as he did <strong>in</strong> his 2007 report) or toTIMSS 2007 (as he did <strong>in</strong> his 2009 report).F<strong>in</strong>ally, Phillips suggests that PISA 2006 tests math“literacy” while TIMSS 2007 assesses math “proficiency”with a test that is more closely aligned to the curriculumoffered by the U.S. But just as the words literacy andproficiency are virtually <strong>in</strong>ter-changeable, the two testsare more alike than they are different. As Phillips himselfdemonstrates, the correlation between average studentperformances across countries on the PISA 2006 andTIMSS 2007 is 0.93. 7 When two <strong>in</strong>dicators of studentperformance yield such similar results, one generallyassumes them to be different measures of the same th<strong>in</strong>g.Random differences <strong>in</strong> sampl<strong>in</strong>g and item constructioncan easily account for any observed differences <strong>in</strong> results.In sum, the major difference between this studyand the Phillips reports is the countries with which theU.S. is be<strong>in</strong>g compared. We <strong>in</strong>clude <strong>in</strong> our comparisonall countries of the OECD, many of them among thehighest-achiev<strong>in</strong>g countries, while Phillips has <strong>in</strong>cluded<strong>in</strong> his comparisons only 11 of those countries.6. Phillips (2009), p. 18.7. Phillips (2009), p. 36.U.S. <strong>Math</strong> <strong>Performance</strong> <strong>in</strong> global <strong>Perspective</strong> 35


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Biographical SketchesBiographical Sketches<strong>Eric</strong> A. <strong>Hanushek</strong> is the Paul and Jean Hanna Senior Fellow at the HooverInstitution of Stanford University and chair of the executive committee for theTexas Schools Project at the University of Texas at Dallas. His newest book,Schoolhouses, Courthouses, and Statehouses : Solv<strong>in</strong>g the Fund<strong>in</strong>g-AchievementPuzzle <strong>in</strong> America’s Public Schools, describes how improved school f<strong>in</strong>ancepolicies can be used to meet our achievement goals. He is currently the chairof the board of directors of the National Board for Education Sciences andpreviously served as deputy director of the Congressional Budget Office.Website: edpro.stanford.edu/hanushekPaul E. Peterson is the director of the Program on Education Policy andGovernance <strong>in</strong> the Taubman Center for State and Local Government atHarvard’s Kennedy School of Government. He is the Henry Lee ShattuckProfessor of Government <strong>in</strong> the Faculty of Arts and Sciences at HarvardUniversity and a senior fellow at the Hoover Institution at Stanford University.He is the editor-<strong>in</strong>-chief of Education Next: A Journal of Op<strong>in</strong>ion and Research.His most recent publication is Sav<strong>in</strong>g Schools: From Horace Mann to VirtualLearn<strong>in</strong>g (Harvard University Press, 2010).Websites: hks.harvard.edu/pepg • educationnext.org • sav<strong>in</strong>gschools.comLudger Woessmann is professor of economics at the University of Munich,head of the Department of Human Capital and Innovation at Ifo Institute forEconomic Research, and coord<strong>in</strong>ator of the European Expert Network on theEconomics of Education (EENEE). His most recent book, School Accountability,Autonomy and Choice around the World, considers sources of <strong>in</strong>ternationaldifferences <strong>in</strong> student achievement.Website: cesifo.de/woessmann38 educationnext.org hks.harvard.edu/pepg


ENHarvard’s Program on Education Policy & Governance (PEPG)Harvard Kennedy School79 John F. Kennedy Street, Taubman 304Cambridge, MA 02138Phone: (617) 495-7976 • Fax: (617) 496-4428Email: pepg_adm<strong>in</strong>istrator@hks.harvard.eduWebsites: hks.harvard.edu/pepg •educationnext.orgNonprofitU.S. Postage PaidPermit No. 26Peterborough, NH03458

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