LEADER 12245oam 22006975 450 001 9910953488903321 005 20251117091609.0 010 $a0-8213-8717-0 024 7 $a10.1596/978-0-8213-8458-9 035 $a(CKB)2550000000058094 035 $a(SSID)ssj0000566926 035 $a(PQKBManifestationID)12199464 035 $a(PQKBTitleCode)TC0000566926 035 $a(PQKBWorkID)10562638 035 $a(PQKB)10135729 035 $a(MiAaPQ)EBC3050843 035 $a(Au-PeEL)EBL3050843 035 $a(CaPaEBR)ebr10506388 035 $a(OCoLC)922951589 035 $a(The World Bank)ocn720831273 035 $a(US-djbf)16760649 035 $a(BIP)33612214 035 $a(EXLCZ)992550000000058094 100 $a20110503d2011 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAssessing sector performance and inequality in education /$fEmilio Porta ... [and others] 205 $a1st ed. 210 1$aWashington, D.C. :$cWorld Bank,$dc2011. 215 $axix, 192 pages $cillustrations ;$d24 cm 225 1 $aStreamlined analysis with ADePT software 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a0-8213-8458-9 320 $aIncludes bibliographical references and index. 327 $aIntro -- Contents -- Foreword -- Preface -- Abbreviations -- Overview -- Chapter 1 Introduction to ADePT Edu: Broadening Access to School and Household Data in Education -- The Need for Data -- Complementing ADePT Edu: Broadening the Availability of Education Projections Modules -- Education Projections Modules -- World Bank Education Projects Database -- Public Expenditure Database -- ADePT Edu As a Tool for Analyzing Education Inequality -- Notes -- References -- Chapter 2 Using Household Survey Data -- Use of Household Surveys to Analyze Educational Inequality and Education Sector Performance -- Main Household Surveys -- The Living Standards Measurement Study -- The Demographic and Health Survey -- The Multiple Indicator Cluster Survey -- Which Survey Is Best for Analyzing Education Inequality? A Quick Guide -- Advantages and Limitations of Using Household Surveys in Data Analysis -- Enrollment versus Attendance -- Level of Education Reported in Household Surveys -- Age, Timing, and Duration of Household Surveys -- Standard Errors -- Poverty Quintiles and Poverty Groups -- Missing and Contradictory Values -- Notes -- References -- Chapter 3 Using ADePT Edu: A Step-by-Step Guide -- System Requirements -- Hardware Requirements -- Software Requirements -- Installing ADePT -- Using ADePT -- Starting and Closing ADePT -- ADePT's Computation Process -- Loading Data -- Specifying Variables -- Using Compound Fields -- Generating Tables and Figures -- Choosing a Reporting Option -- Performing Common Tasks -- Generating Tables on a Subsample of Observations -- Generating Tables with Standard Errors and Tables of Frequencies -- Describing a Complex Survey Design -- Defining Missing Values -- Specifying Expressions in Variables Fields -- Running Simulations -- Adjusting Settings -- Changing the Screen and Output Language. 327 $aSelecting the Computational Engine and Output Viewer -- Working with Projects in ADePT -- Using ADePT Project Files on a Different Computer -- Replicating Results -- Using ADePT in a Batch Mode -- Updating ADePT -- Troubleshooting ADePT -- Resolving Problems Encountered during Installation -- Using the Debug Mode -- Notes -- Chapter 4 Generating and Interpreting Output Tables and Graphs -- Output Information Tables -- The Contents Table -- The Notifications Table -- Original Data Report -- School Participation Indicator Tables -- Table A1: School Attendance Ratios and Out of School, by Level -- Table A2: Primary Grade 1 Intake, Over-Age in First Grade, and Survival Rate to Grade 5 -- Table A3: On-Time, Under-Age, and Over-Age in Primary Education -- Table A4: On-Time, Under-Age, and Over-Age by Single Grade of Primary Education, according to Background Characteristics -- Table A5: Percentage of the Population That Has Ever Attended School, by Age -- Table A6: Out-of-School Reasons -- Table A7: Typology of Out of School -- School Progression Tables -- Table B1: Promotion, Repetition, Dropout, and Completion Rates by Level, and Transition Rates -- Table B2: Promotion, Repetition, and Dropout Rates by Single Grade of Primary Education -- Table B3: Promotion, Repetition, and Dropout Rates by Single Grade of Secondary Education -- School Attainment Tables -- Table C1: School Attainment of Adult Population -- Tables C2-C5: Proportion of Adult Population That Completed Each Grade -- Table C6: Proportion of 10- to 19-Year-Olds Expected to Complete Each Grade -- Table C7: Inequality in Years of Schooling -- Education Expenditure Tables -- Table D1: Primary Level -- Table D2: Secondary Level -- Table D3: Postsecondary Level -- Labor Market Outcome Tables -- Table E1: Earning Inequalities -- Tables E2, E2a, and E2b: Employment for Youth. 327 $aTable E3: Employment by Sector -- Table E4: Earnings by Education Level -- Table E5: Economic Independence -- Table E6: Returns to Education -- ADePT Education Graphs -- Notes -- References -- Chapter 5 Analyzing Education Inequality with ADePT Edu -- Reporting Education Inequality with ADePT Edu -- Global Educational Inequality -- The Gini Coefficient in Education -- Correlation between Inequality in Income and Inequality in School Attainment -- Correlation between Inequality in School Attendance and Inequality in School Attainment -- Correlation between School Completion and Inequality in School Attainment -- Correlation between Extreme Poverty and Inequality in School Attainment -- How Has Inequality in Educational Attainment Changed over Time? -- Educational Inequality and Internal Efficiency in the Education Sector -- Disparity in School Participation -- Disparity in School Progression -- Disparity in the Number of Years of Schooling -- Educational Inequality across Regions -- Regional Disparity in School Participation -- Regional Disparity in School Progression -- Regional Disparity in School Attainment -- Concluding Comments -- Notes -- References -- Bibliography -- About the Authors -- Index -- Box -- 4.1: UNESCO's Method for Estimating the Percentage of Children Out of School -- Figures -- 1.1: Percentage of Countries Reporting Data on Education, 1990-2008 -- 1.2: Global Availability of Data Needed to Estimate MDG Indicators for Education, 1990-2008 -- 4.1: Estimates of Percentage of Out-of-School Children, by Type -- 5.1: The Education Lorenz Curve -- 5.2: Relationship between Gini Coefficient of School Attainment and Gini Coefficient of Income -- 5.3: Relationship between Gini Coefficient of School Attainment and Net Primary School Attendance Ratios. 327 $a5.4: Relationship between Gini Coefficient of School Attainment and Primary Completion Rate -- 5.5: Relationship between Gini Coefficient of School Attainment and Extreme Poverty -- 5.6: Sources of Global Disparity in Educational Attainment among the 26-29 Cohort, 1985-2007 -- 5.7: Sources of Global Disparity in School Participation among the 15-19 Cohort, by Education Level -- 5.8: Sources of Global Disparity among Out-of-School Children -- 5.9: Sources of Global Disparity in School Progression among the 15-19 Cohort -- 5.10: Sources of Global Disparity in School Attainment among the 15-19 Cohort -- 5.11: Sources of Global Disparity in Net Primary Attendance Rates, by Region -- 5.12: Net Primary Attendance Ratios in Benin, 2006 -- 5.13: Sources of Disparity in Net Secondary Attendance Rates, by Region -- 5.14: Sources of Disparity in Gross Postsecondary Attendance Rates, by Region -- 5.15: Sources of Disparity in Net Intake Rate for First Grade of Primary School, by Region -- 5.16: Sources of Disparity in Children Out of Primary School, by Region -- 5.17: Sources of Disparity in Dropout Rates, by Region -- 5.18: Sources of Disparity in Late Entry among Out-of-School Children, by Region -- 5.19: Sources of Disparity among Out-of-School Children Who Never Attended School, by Region -- 5.20: Sources of Disparity in Primary Completion Rates, by Region -- 5.21: Sources of Disparity in Secondary Completion Rates, by Region -- 5.22: Primary and Secondary Completion Rates in India, 2005 -- 5.23: Sources of Disparity in Primary to Secondary Transition Rates, by Region -- 5.24: Sources of Disparity in Total Years of Schooling, by Region -- 5.25: Gini Coefficient of School Attainment, by Region -- Graphs -- 4.1: Educational Attainment of 15- to 19-Year-Olds in Nicaragua, by Income Quintile. 327 $a4.2: Enrollment Rates for Boys and Girls 6-14 Years Old in Rural and Urban Areas of Nicaragua -- 4.3: Grade Survival Profiles for 10- to 19-Year-Olds in Nicaragua, by Income Quintile -- 4.4: Enrollment Pyramid for 6- to 24-Year-Olds in Nicaragua, by Income Quintile -- 4.5: Educational Attainment Profiles for Men and Women 30-39 Years Old in Rural and Urban Areas in Nicaragua -- 4.6: Typology of Out of School, by Subpopulation and Level in Nicaragua -- 4.7: Reasons Why Primary School-Age Children Are Out of School in Nicaragua -- 4.8: Lorenz Curve for Years of Schooling in Nicaragua -- 4.9: Age-Earnings Profile by Education Level -- 4.10: Earnings by Years of Schooling and Labor Market Experience in Nicaragua -- Screenshots -- 3.1: Accepting the License Agreement -- 3.2: Installing ADePT -- 3.3: Completion of Setup -- 3.4: Starting ADePT Using the Start Menu -- 3.5: Selecting a Module -- 3.6: Guide to the Main Screen -- 3.7: Opening a Dataset -- 3.8: Full Path of the Selected Dataset -- 3.9: Labeling the Dataset -- 3.10: Opening a Stata Data File -- 3.11: Variable Names and Labels -- 3.12: Variable Names in the Main Form -- 3.13: Specifying Variable Names in the Education Tab -- 3.14: Variable Names for the Labor Market Tab -- 3.15: Variable Names for a Loaded Dataset -- 3.16: Disabled Variables in Gray, Active Variables in Bold -- 3.17: Compound Field for Missing Values -- 3.18: Table and Figure Window: Selecting the Education Tables to Generate -- 3.19: Record and Stop Button for Creating Tables -- 3.20: Selecting a Level of Reporting -- 3.21: Clearing Contents or Changing Fonts -- 3.22: Using the Global Filter -- 3.23: Setting an If-Condition -- 3.24: Example of an If-Condition -- 3.25: Clearing an If-Condition -- 3.26: Generating Tables with Standard Errors, Frequencies, or Both -- 3.27: Adding Household Weights and Other Parameters. 327 $a3.28: Changing the Code for Missing Values. 330 $aThis book gathers in one volume all the information needed to use ADePT Edu, the software platform created by the World Bank for the reporting and analysis of education indicators and education inequality. It includes a primer on education data availability, an operating manual for the software, a technical explanation of all the education indicators generated, and an overview of global education inequality using ADePT Edu. The World Bank developed ADePT Edu to fill the need for a user-friendly program designed to give everyone the ability to organize and analyze education data from households. ADePT Edu can be used with any household survey with the aid of its user friendly interface, generating education tables and graphics that comply with international standards for performance indicators. Because this volume is a compendium its chapters can be consulted independently of each other, depending on the need of users. 410 0$aStreamlined analysis with ADePT software. 410 0$aWorld Bank e-Library. 606 $aEducational indicators$xData processing 606 $aEducational equalization$xData processing 615 0$aEducational indicators$xData processing. 615 0$aEducational equalization$xData processing. 676 $a379.2/60285 701 $aPorta$b Emilio$01869500 801 0$bDLC 801 1$bDLC 801 2$bYDX 801 2$bYDXCP 801 2$bDLC 906 $aBOOK 912 $a9910953488903321 996 $aAssessing sector performance and inequality in education$94477670 997 $aUNINA LEADER 03991nam 22008175 450 001 9910438148903321 005 20251116201958.0 010 $a9783642362439 010 $a3642362435 024 7 $a10.1007/978-3-642-36243-9 035 $a(CKB)2670000000360687 035 $a(EBL)1206116 035 $a(SSID)ssj0000880631 035 $a(PQKBManifestationID)11504907 035 $a(PQKBTitleCode)TC0000880631 035 $a(PQKBWorkID)10895847 035 $a(PQKB)11592216 035 $a(DE-He213)978-3-642-36243-9 035 $a(MiAaPQ)EBC6315413 035 $a(MiAaPQ)EBC1206116 035 $a(Au-PeEL)EBL1206116 035 $a(CaPaEBR)ebr10976232 035 $a(OCoLC)845259489 035 $z(PPN)25885376X 035 $a(PPN)169139190 035 $a(EXLCZ)992670000000360687 100 $a20130417d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aReal Algebraic Geometry /$fby Vladimir I. Arnold ; edited by Ilia Itenberg, Viatcheslav Kharlamov, Eugenii I. Shustin 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (100 p.) 225 1 $aLa Matematica per il 3+2,$x2038-5722 ;$v66 300 $aDescription based upon print version of record. 311 08$a9783642362422 311 08$a3642362427 327 $aPublisher's Foreword -- Editors' Foreword -- Introduction -- 2 Geometry of Conic Sections -- 3 The Physics of Conic Sections and Ellipsoids -- 4 Projective Geometry -- 5 Complex Algebraic Curves -- 6 A Problem for School Pupils -- A Into How Many Parts do n Lines Divide the Plane?- Editors' Comments on Gudkov's Conjecture -- Notes. 330 $aThis book is concerned with one of the most fundamental questions of mathematics: the relationship between algebraic formulas and geometric images. At one of the first international mathematical congresses (in Paris in 1900), Hilbert stated a special case of this question in the form of his 16th problem (from his list of 23 problems left over from the nineteenth century as a legacy for the twentieth century). In spite of the simplicity and importance of this problem (including its numerous applications), it remains unsolved to this day (although, as you will now see, many remarkable results have been discovered). 410 0$aLa Matematica per il 3+2,$x2038-5722 ;$v66 606 $aGeometry, Algebraic 606 $aPhysics 606 $aGeometry 606 $aMathematical physics 606 $aAlgebraic Geometry$3https://scigraph.springernature.com/ontologies/product-market-codes/M11019 606 $aMathematical Methods in Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19013 606 $aGeometry$3https://scigraph.springernature.com/ontologies/product-market-codes/M21006 606 $aMathematical Applications in the Physical Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13120 615 0$aGeometry, Algebraic. 615 0$aPhysics. 615 0$aGeometry. 615 0$aMathematical physics. 615 14$aAlgebraic Geometry. 615 24$aMathematical Methods in Physics. 615 24$aGeometry. 615 24$aMathematical Applications in the Physical Sciences. 676 $a516.35 700 $aArnol?d$b V. I$g(Vladimir Igorevich),$f1937-2010,$4aut$4http://id.loc.gov/vocabulary/relators/aut$022210 702 $aItenberg$b I. V$g(Il?i?a? Vladimirovich),$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKharlamov$b V$g(Viatcheslav),$f1950-$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShustin$b Eugenii$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438148903321 996 $aReal Algebraic Geometry$94471940 997 $aUNINA