Peru - Global Education Policy Dashboard 2019

<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <meta name="viewport" content="width=device-width, initial-scale=1"> <title>Peru - Global Education Policy Dashboard 2019</title> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/all.min.css" integrity="sha512-1ycn6IcaQQ40/MKBW2W4Rhis/DbILU74C1vSrLJxCq57o941Ym01SwNsOMqvEBFlcgUa6xLiPY/NS5R+E6ztJQ==" crossorigin="anonymous" referrerpolicy="no-referrer" /> <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous"> <link rel="stylesheet" href="https://microdata.worldbank.org/themes/nada52/css/style.css?v2023"> <link rel="stylesheet" href="https://microdata.worldbank.org/themes/nada52/css/custom.css?v2021"> <link rel="stylesheet" href="https://microdata.worldbank.org/themes/nada52/css/home.css?v03212019"> <link rel="stylesheet" href="https://microdata.worldbank.org/themes/nada52/css/variables.css?v07042021"> <link rel="stylesheet" href="https://microdata.worldbank.org/themes/nada52/css/facets.css?v062021"> <link rel="stylesheet" href="https://microdata.worldbank.org/themes/nada52/css/catalog-tab.css?v07052021"> <link rel="stylesheet" href="https://microdata.worldbank.org/themes/nada52/css/catalog-card.css?v10102021-1"> <link rel="stylesheet" href="https://microdata.worldbank.org/themes/nada52/css/filter-action-bar.css?v14052021-3"> <script src="//code.jquery.com/jquery-3.2.1.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.3/umd/popper.min.js" integrity="sha384-ZMP7rVo3mIykV+2+9J3UJ46jBk0WLaUAdn689aCwoqbBJiSnjAK/l8WvCWPIPm49" crossorigin="anonymous"></script> <script src="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/js/bootstrap.min.js" integrity="sha384-ChfqqxuZUCnJSK3+MXmPNIyE6ZbWh2IMqE241rYiqJxyMiZ6OW/JmZQ5stwEULTy" crossorigin="anonymous"></script> <script type="text/javascript"> var CI = {'base_url': 'https://microdata.worldbank.org/index.php'}; if (top.frames.length!=0) { top.location=self.document.location; } $(document).ready(function() { /*global ajax error handler */ $( document ).ajaxError(function(event, jqxhr, settings, exception) { if(jqxhr.status==401){ window.location=CI.base_url+'/auth/login/?destination=catalog/'; } else if (jqxhr.status>=500){ alert(jqxhr.responseText); } }); }); //end-document-ready </script> <script type="text/javascript" src="https://microdata.worldbank.org/javascript/linkify.min.js?v=112024"></script><script type="text/javascript" src="https://microdata.worldbank.org/javascript/linkify-jquery.min.js?v=112024"></script><script type="text/javascript" src="https://microdata.worldbank.org/javascript/pym.v1.min.js?v=112024"></script><script type="application/ld+json"> { "@context": "https://schema.org/", "@type": "Dataset", "name": "Global Education Policy Dashboard 2019 - Peru", "description": "Abstract\r\n---------------------------\r\n\r\nThe dashboard project collects new data in each country using three new instruments: a School Survey, a Policy Survey, and a Survey of Public Officials. Data collection involves school visits, classroom observations, legislative reviews, teacher and student assessments, and interviews with teachers, principals, and public officials. In addition, the project draws on some existing data sources to complement the new data it collects. A major objective of the GEPD project was to develop focused, cost-effective instruments and data-collection procedures, so that the dashboard can be inexpensive enough to be applied (and re-applied) in many countries. The team achieved this by streamlining and simplifying existing instruments, and thereby reducing the time required for data collection and training of enumerators.\r\n\r\nGeographic coverage\r\n---------------------------\r\n\r\nNational\r\n\r\nAnalysis unit\r\n---------------------------\r\n\r\nSchools, teachers, students, public officials\r\n\r\nKind of data\r\n---------------------------\r\n\r\nSample survey data [ssd]\r\n\r\nSampling procedure\r\n---------------------------\r\n\r\nThe aim of the Global Education Policy Dashboard school survey is to produce nationally representative estimates, which will be able to detect changes in the indicators over time at a minimum power of 80% and with a 0.05 significance level. We also wish to detect differences by urban/rural location.\n\nFor our school survey, we will employ a two-stage random sample design, where in the first stage a sample of typically around 200 schools, based on local conditions, is drawn, chosen in advance by the Bank staff. In the second stage, a sample of teachers and students will be drawn to answer questions from our survey modules, chosen in the field. A total of 10 teachers will be sampled for absenteeism. Five teachers will be interviewed and given a content knowledge exam. Three 1st grade students will be assessed at random, and a classroom of 4th grade students will be assessed at random. Stratification will be based on the school\u2019s urban/rural classification and based on region. When stratifying by region, we will work with our partners within the country to make sure we include all relevant geographical divisions.\n\nFor our Survey of Public Officials, we will sample a total of 200 public officials. Roughly 60 officials are typically surveyed at the federal level, while 140 officials will be surveyed at the regional/district level. For selection of officials at the regional and district level, we will employ a cluster sampling strategy, where roughly 10 regional offices (or whatever the secondary administrative unit is called) are chosen at random from among the regions in which schools were sampled. Then among these 10 regions, we also typically select around 10 districts (tertiary administrative level units) from among the districts in which schools werer sampled. The result of this sampling approach is that for 10 clusters we will have links from the school to the district office to the regional office to the central office. Within the regions/districts, five or six officials will be sampled, including the head of organization, HR director, two division directors from finance and planning, and one or two randomly selected professional employees among the finance, planning, and one other service related department chosen at random. At the federal level, we will interview the HR director, finance director, planning director, and three randomly selected service focused departments. In addition to the directors of each of these departments, a sample of 9 professional employees will be chosen in each department at random on the day of the interview.\r\n\r\nSampling deviation\r\n---------------------------\r\n\r\nMELQO data was merged with the Peru school frame in order to optimally stratify. We stratified on the basis of urban/rual and department. There are 25 departments in Peru. In 2017, Peru conducted an examination of around 4,500 children between 5 and 8 years old, with a median age of 6. The MELQO exam is quite similar to our ECD examination module. We are able to use data from this 2017 survey to choose the number of schools in each province optimally by calculating means and standard deviations by province and feeding this information into the optimal stratification algorithm. See https://cran.r-project.org/web/packages/SamplingStrata/vignettes/SamplingStrata.html. Provinces with low standard deviations among students in terms of their MELQO development scores are allocated fewer schools compared to an allocation that is simply based on population, and provinces with high standard deviations are allocated more schools.\n\n203 schools were chosen for our survey after optimally stratifying.\r\n\r\nMode of data collection\r\n---------------------------\r\n\r\nComputer Assisted Personal Interview [capi]\r\n\r\nResearch instrument\r\n---------------------------\r\n\r\nThe dashboard project collects new data in each country using three new instruments: a School Survey, a Policy Survey, and a Survey of Public Officials. Data collection involves school visits, classroom observations, legislative reviews, teacher and student assessments, and interviews with teachers, principals, and public officials. In addition, the project draws on some existing data sources to complement the new data it collects. A major objective of the GEPD project was to develop focused, cost-effective instruments and data-collection procedures, so that the dashboard can be inexpensive enough to be applied (and re-applied) in many countries. The team achieved this by streamlining and simplifying existing instruments, and thereby reducing the time required for data collection and training of enumerators. \n\nMore information pertaining to each of the three instruments can be found below:\n\n- School Survey: The School Survey collects data primarily on practices (the quality of service delivery in schools), but also on some de facto policy indicators. It consists of streamlined versions of existing instruments\u2014including Service Delivery Surveys on teachers and inputs/infrastructure, Teach on pedagogical practice, Global Early Child Development Database (GECDD) on school readiness of young children, and the Development World Management Survey (DWMS) on management quality\u2014together with new questions to fill gaps in those instruments. Though the number of modules is similar to the full version of the Service Delivery Indicators (SDI) Survey, the number of items and the complexity of the questions within each module is significantly lower. The School Survey includes 8 short modules: School Information, Teacher Presence, Teacher Survey, Classroom Observation, Teacher Assessment, Early Learner Direct Assessment, School Management Survey, and 4th-grade Student Assessment. For a team of two enumerators, it takes on average about 4 hours to collect all information in a given school. For more information, refer to the Frequently Asked Questions. \n\n- Policy Survey: The Policy Survey collects information to feed into the policy de jure indicators. This survey is filled out by key informants in each country, drawing on their knowledge to identify key elements of the policy framework (as in the SABER approach to policy-data collection that the Bank has used over the past 7 years). The survey includes questions on policies related to teachers, school management, inputs and infrastructure, and learners. In total, there are 52 questions in the survey as of June 2020. The key informant is expected to spend 2-3 days gathering and analyzing the relavant information to answer the survey questions. \n\n- Survey of Public Officials: The Survey of Public Officials collects information about the capacity and orientation of the bureaucracy, as well as political factors affecting education outcomes. This survey is a streamlined and education-focused version of the civil-servant surveys that the Bureaucracy Lab (a joint initiative of the Governance Global Practice and the Development Impact Evaluation unit of the World Bank) has implemented in several countries. The survey includes questions about technical and leadership skills, work environment, stakeholder engagement, impartial decision-making, and attitudes and behaviors. The survey takes 30-45 minutes per public official and is used to interview Ministry of Education officials working at the central, regional, and district levels in each country.\r\n\r\nSampling error estimates\r\n---------------------------\r\n\r\nThe aim of the Global Education Policy Dashboard school survey is to produce nationally representative estimates, which will be able to detect changes in the indicators over time at a minimum power of 80% and with a 0.05 significance level.", "url": "https://microdata.worldbank.org/index.php/catalog/6406", "sameAs": "https://microdata.worldbank.org/index.php/catalog/study/PER_2019_GEPD_v01_M", "identifier": "PER_2019_GEPD_v01_M", "includedInDataCatalog": { "@type": "DataCatalog", "name": "https://microdata.worldbank.org/" }, "temporalCoverage": "2019", "dateCreated": "2024-11-13T16:03:26-05:00", "dateModified": "2024-11-13T16:03:28-05:00", "spatialCoverage": { "@type": "Place", "name": "Peru" }, "creator": [ { "@type": "Organization", "name": "Halsey Rogers" }, { "@type": "Organization", "name": "Sergio Venegas Marin" }, { "@type": "Organization", "name": "Reema Nayar" }, { "@type": "Organization", "name": "Marta Carnelli" }, { "@type": "Organization", "name": "Brian Stacy" } ] }</script> </head> <body>  <style> .site-header .navbar-light .no-logo .navbar-brand--sitename {border:0px!important;margin-left:0px} .site-header .navbar-light .no-logo .nada-site-title {font-size:18px;} </style> <header class="site-header"> <div class="container"> <div class="row"> <div class="col-12"> <nav class="navbar navbar-expand-md navbar-light rounded navbar-toggleable-md wb-navbar"> <div class="navbar-brand"> <a href="http://www.worldbank.org" class="g01v1-logo wb-logo"> <img title="The World Bank Working for a World Free of Poverty" alt="The World Bank Working for a World Free of Poverty" src="https://microdata.worldbank.org/themes/nada52/images/logo-wb-header-en.svg" class="img-responsive"> </a> <strong><a class="nada-sitename" href="https://microdata.worldbank.org/index.php">Microdata Library</a></strong> </div> <button class="navbar-toggler navbar-toggler-right collapsed wb-navbar-button-toggler" type="button" data-toggle="collapse" data-target="#containerNavbar" aria-controls="containerNavbar" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button>   <div class="navbar-collapse collapse" id="containerNavbar" aria-expanded="false"> <ul class="navbar-nav ml-auto"> <li class="nav-item"> <a class="nav-link" href="https://microdata.worldbank.org/index.php/catalog">Data Catalog</a> </li> <li class="nav-item"> <a class="nav-link" href="https://microdata.worldbank.org/index.php/collections">Collections</a> </li> <li class="nav-item"> <a class="nav-link" href="https://microdata.worldbank.org/index.php/citations">Citations</a> </li> <li class="nav-item"> <a class="nav-link" href="https://microdata.worldbank.org/index.php/terms-of-use">Terms of use</a> </li> <li class="nav-item"> <a class="nav-link" href="https://microdata.worldbank.org/index.php/about">About</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="" id="dropdownMenuLink" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> <i class="fas fa-user-circle fa-lg"></i>Login </a> <div class="dropdown-menu dropdown-menu-right" aria-labelledby="dropdownMenuLink"> <a class="dropdown-item" href="https://microdata.worldbank.org/index.php/auth/login">Login</a> </div> </li>  </ul> </div>   </nav> </div> </div>  </div> </header>  <div class="wp-page-body container-fluid page-catalog catalog"> <div class="body-content-wrap theme-nada-2">  <div class="container"> <ol class="breadcrumb wb-breadcrumb"> <div class="breadcrumbs" xmlns:v="http://rdf.data-vocabulary.org/#"> <span typeof="v:Breadcrumb"> <a href="https://microdata.worldbank.org/index.php/" rel="v:url" property="v:title">Home</a> / </span> <span typeof="v:Breadcrumb"> <a href="https://microdata.worldbank.org/index.php/catalog" rel="v:url" property="v:title">Central Data Catalog</a> / </span> <span typeof="v:Breadcrumb"> <a class="active" href="https://microdata.worldbank.org/index.php/catalog/6406" rel="v:url" property="v:title">PER_2019_GEPD_V01_M</a> </span> </div> </ol> </div>  <style> .metadata-sidebar-container .nav .active{ background:#e9ecef; } .study-metadata-page .page-header .nav-tabs .active a { background: white; font-weight: bold; border-top: 2px solid #0071bc; border-left:1px solid gainsboro; border-right:1px solid gainsboro; } .study-info-content { font-size: 14px; } .study-subtitle{ font-size:.7em; margin-bottom:10px; } .badge-outline{ background:transparent; color:#03a9f4; border:1px solid #9e9e9e; } .study-header-right-bar span{ display:block; margin-bottom:15px; } .study-header-right-bar{ font-size:14px; color:gray; } .get-microdata-btn{ font-size:14px; } .link-col .badge{ font-size:14px; font-weight:normal; background:transparent; border:1px solid #9E9E9E; color:#03a9f4; } .link-col .badge:hover{ background:#03a9f4; color:#ffffff; } .study-header-right-bar .stat{ margin-bottom:10px; font-size:small; } .study-header-right-bar .stat .stat-label{ font-weight:bold; text-transform:uppercase; } .field-metadata__table_description__ref_country .field-value, .field-metadata__study_desc__study_info__nation .field-value{ max-height:350px; overflow:auto; } .field-metadata__table_description__ref_country .field-value ::-webkit-scrollbar, .field-metadata__study_desc__study_info__nation .field-value ::-webkit-scrollbar { -webkit-appearance: none; width: 7px; } .field-metadata__table_description__ref_country .field-value ::-webkit-scrollbar-thumb, .field-metadata__study_desc__study_info__nation .field-value ::-webkit-scrollbar-thumb { border-radius: 4px; background-color: rgba(0, 0, 0, .5); box-shadow: 0 0 1px rgba(255, 255, 255, .5); } </style> <div class="page-body-full study-metadata-page"> <span id="dataset-metadata-info" data-repositoryid="central" data-id="6406" data-idno="PER_2019_GEPD_v01_M" ></span> <div class="container-fluid page-header"> <div class="container"> <div class="row study-info"> <div class="col-md-2"> <div class="collection-thumb-container"> <a href="https://microdata.worldbank.org/index.php/catalog/central"> <img src="https://microdata.worldbank.org/files/icon-blank.png?v=1731531808" class="mr-3 img-fluid img-thumbnail" alt="central" title="Central Data Catalog"/> </a> </div> </div> <div class="col"> <div> <h1 class="mt-0 mb-1" id="dataset-title"> <span>Global Education Policy Dashboard 2019</span> </h1> <div class="clearfix"> <h6 class="sub-title float-left" id="dataset-sub-title"><span id="dataset-country">Peru</span>, <span id="dataset-year">2019</span></h6> <a href="https://microdata.worldbank.org/index.php/catalog/6406/get-microdata" class="get-microdata-btn badge badge-primary wb-text-link-uppercase float-left ml-3" title="Get Microdata"> <span class="fa fa-download"></span> Get Microdata </a> </div> </div> <div class="row study-info-content"> <div class="col pr-5"> <div class="row mt-4 mb-2 pb-2 border-bottom"> <div class="col-md-2"> Reference ID </div> <div class="col"> <div class="study-idno"> PER_2019_GEPD_v01_M </div> </div> </div> <div class="row mb-2 pb-2 border-bottom"> <div class="col-md-2"> DOI </div> <div class="col"> <div class="study-doi"> <a target="_blank" href="https://doi.org/10.48529/nzg2-aj65">https://doi.org/10.48529/nzg2-aj65</a> </div> </div> </div> <div class="row mb-2 pb-2 border-bottom"> <div class="col-md-2"> Producer(s) </div> <div class="col"> <div class="producers"> Halsey Rogers, Sergio Venegas Marin, Reema Nayar, Marta Carnelli, Brian Stacy </div> </div> </div> <div class="row border-bottom mb-2 pb-2 mt-2"> <div class="col-md-2"> Metadata </div> <div class="col"> <div class="metadata">  <span class="mr-2 link-col"> <a class="download" href="https://microdata.worldbank.org/index.php/catalog/6406/pdf-documentation" title="Documentation in PDF" > <span class="badge badge-success"><i class="fa fa-file-pdf-o" aria-hidden="true"> </i> Documentation in PDF</span> </a> <a class="download" href="https://microdata.worldbank.org/index.php/metadata/export/6406/ddi" title="DDI Codebook (2.5)"> <span class="badge badge-primary"> DDI/XML</span> </a> <a class="download" href="https://microdata.worldbank.org/index.php/metadata/export/6406/json" title="JSON"> <span class="badge badge-info">JSON</span> </a> </span>  </div> </div> </div> </div> </div> </div> <div class="col-md-2 border-left">  <div class="study-header-right-bar"> <div class="stat"> <div class="stat-label">Created on </div> <div class="stat-value">Nov 13, 2024</div> </div> <div class="stat"> <div class="stat-label">Last modified </div> <div class="stat-value">Nov 13, 2024</div> </div> <div class="stat"> <div class="stat-label">Page views </div> <div class="stat-value">1141</div> </div> <div class="stat"> <div class="stat-label">Downloads </div> <div class="stat-value">19</div> </div> </div>  </div> </div>  <ul class="nav nav-tabs wb-nav-tab-space flex-wrap" role="tablist"> <li class="nav-item tab-description active" > <a href="https://microdata.worldbank.org/index.php/catalog/6406/study-description" class="nav-link wb-nav-link wb-text-link-uppercase active" role="tab" data-id="related-materials" >Study Description</a> </li> <li class="nav-item tab-data_dictionary " > <a href="https://microdata.worldbank.org/index.php/catalog/6406/data-dictionary" class="nav-link wb-nav-link wb-text-link-uppercase " role="tab" data-id="related-materials" >Data Description</a> </li> <li class="nav-item tab-related_materials " > <a href="https://microdata.worldbank.org/index.php/catalog/6406/related-materials" class="nav-link wb-nav-link wb-text-link-uppercase " role="tab" data-id="related-materials" >Documentation</a> </li> <li class="nav-item nav-item-get-microdata tab-get_microdata " > <a href="https://microdata.worldbank.org/index.php/catalog/6406/get-microdata" class="nav-link wb-nav-link wb-text-link-uppercase " role="tab" data-id="related-materials" > <span class="get-microdata icon-da-public"></span> Get Microdata </a> </li>  </ul>  </div> </div> <div class="container study-metadata-body-content " >  <div id="tabs" class="study-metadata ui-tabs ui-widget ui-widget-content ui-corner-all study-tabs" > <div id="tabs-1" aria-labelledby="ui-id-1" class="ui-tabs-panel ui-widget-content ui-corner-bottom" role="tabpanel" > <div class="tab-body-no-sidebar-x"><div class="container-fluid"> <div class="row"> <div class="col-md-3"> <div class="navbar-collapse sticky-top metadata-sidebar-container"> <div class="nav flex-column"> <li class="nav-item"> <a class="nav-link" href="#study_desc.title_statement">Identification</a> </li> <li class="nav-item"> <a class="nav-link" href="#study_description.version">Version</a> </li> <li class="nav-item"> <a class="nav-link" href="#study_desc1674579453273">Scope</a> </li> <li class="nav-item"> <a class="nav-link" href="#study_desc1684331110642">Coverage</a> </li> <li class="nav-item"> <a class="nav-link" href="#study_desc1684331430702">Producers and sponsors</a> </li> <li class="nav-item"> <a class="nav-link" href="#study_desc1674579234511">Sampling</a> </li> <li class="nav-item"> <a class="nav-link" href="#study_desc1684332949622">Survey instrument</a> </li> <li class="nav-item"> <a class="nav-link" href="#study_desc1684332928200">Data collection</a> </li> <li class="nav-item"> <a class="nav-link" href="#study_desc1684334914432">Data appraisal</a> </li> <li class="nav-item"> <a class="nav-link" href="#study_desc1684334943415">Depositor information</a> </li> <li class="nav-item"> <a class="nav-link" href="#study_desc1684335103457">Data Access</a> </li> <li class="nav-item"> <a class="nav-link" href="#study_desc1684335112393">Disclaimer and copyrights</a> </li> <li class="nav-item"> <a class="nav-link" href="#study_desc1684335140110">Contacts</a> </li> <li class="nav-item"> <a class="nav-link" href="#doc_desc.title_statement">Metadata production</a> </li> <li class="nav-item"> <a class="nav-link" href="#citations_section">Citation</a> </li> </div> </div> </div> <div class="col-md-9"> <div><div class="field-section-container pb-3"><h2 class="field-section" id="study_desc.title_statement">Identification</h2><div class="mb-2 field field-study_desc.title_statement.idno"> <div class="font-weight-bold field-title">Survey ID number</div> <div class="field-value"> <span><p>PER_2019_GEPD_v01_M</p></span> </div> </div> <div class="mb-2 field field-study_desc.title_statement.title"> <div class="font-weight-bold field-title">Title</div> <div class="field-value"> <span><p>Global Education Policy Dashboard 2019</p></span> </div> </div> <div class="mb-2 field field-study_desc.title_statement.alternate_title"> <div class="font-weight-bold field-title">Abbreviation or Acronym</div> <div class="field-value"> <span><p>GEPD 2019</p></span> </div> </div> <div class="table-responsive field field-study_desc_study_info_nation"> <div class="field-title">Country/Economy</div> <div class=""> <table class="table table-sm table-bordered table-striped table-condensed xsl-table table-grid "> <tr> <th>Name</th> <th>Country code</th> </tr> <tr> <td> Peru </td> <td> PER </td> </tr> </table> </div> </div> <div class="mb-2 field field-study_desc.study_info.abstract"> <div class="font-weight-bold field-title">Abstract</div> <div class="field-value"> <span>The dashboard project collects new data in each country using three new instruments: a School Survey, a Policy Survey, and a Survey of Public Officials. Data collection involves school visits, classroom observations, legislative reviews, teacher and student assessments, and interviews with teachers, principals, and public officials. In addition, the project draws on some existing data sources to complement the new data it collects. A major objective of the GEPD project was to develop focused, cost-effective instruments and data-collection procedures, so that the dashboard can be inexpensive enough to be applied (and re-applied) in many countries. The team achieved this by streamlining and simplifying existing instruments, and thereby reducing the time required for data collection and training of enumerators.</span> </div> </div> <div class="mb-2 field field-study_desc.study_info.data_kind"> <div class="font-weight-bold field-title">Kind of Data</div> <div class="field-value"> <span><p>Sample survey data [ssd]</p></span> </div> </div> <div class="mb-2 field field-study_desc.study_info.analysis_unit"> <div class="font-weight-bold field-title">Unit of Analysis</div> <div class="field-value"> <span><p>Schools, teachers, students, public officials</p></span> </div> </div> </div><div class="field-section-container pb-3"><h2 class="field-section" id="study_description.version">Version</h2><div class="mb-2 field field-study_desc.version_statement.version"> <div class="font-weight-bold field-title">Version Description</div> <div class="field-value"> <span><p>v01, harmonized and anonymized data</p></span> </div> </div> <div class="mb-2 field field-study_desc.version_statement.version_date"> <div class="font-weight-bold field-title">Version Date</div> <div class="field-value"> <span><p>2022-11-04</p></span> </div> </div> </div><div class="field-section-container pb-3"><h2 class="field-section" id="study_desc1674579453273">Scope</h2><div class="mb-2 field field-study_desc.study_info.notes"> <div class="font-weight-bold field-title">Notes</div> <div class="field-value"> <span><p>Populating the dashboard requires, aside from the expert-filled Policy Survey, collecting nationally representative data from two field surveys, as noted above—the school and public official surveys. The sample sizes are as follows: </p> <ul> <li> <p>Sample of Schools – The sample size for the School Survey normally consists of 200 to 300 schools, a number that allows for the reporting of nationally representative estimates with a high level of precision for all the GEPD indicators. Within this sample of schools, the team interviews 200-300 school principals and 1,000-1,500 teachers, while also conducting assessments of 600-900 1st-graders and (depending on classroom size) 4,000-6,000 4th-graders. </p> </li> <li> <p>Sample of Public Officials – The sample size for the Survey of Public Officials is 200. These public officials work in the Ministry of Education at either the central, regional, or district level. In the typical country, the breakdown of the sample is 60 officials at the central level, 70 at the regional level, and 70 at the district level. Other than the director(s) and the person in charge of human resources of each office, who are always interviewed, all public officials are randomly selected.</p> </li> </ul></span> </div> </div> </div><div class="field-section-container pb-3"><h2 class="field-section" id="study_desc1684331110642">Coverage</h2><div class="mb-2 field field-study_desc.study_info.geog_coverage"> <div class="font-weight-bold field-title">Geographic Coverage</div> <div class="field-value"> <span><p>National</p></span> </div> </div> </div><div class="field-section-container pb-3"><h2 class="field-section" id="study_desc1684331430702">Producers and sponsors</h2><div class="table-responsive field field-study_desc_authoring_entity"> <div class="field-title">Primary investigators</div> <div class=""> <table class="table table-sm table-bordered table-striped table-condensed xsl-table table-grid "> <tr> <th>Name</th> <th>Affiliation</th> </tr> <tr> <td> Halsey Rogers </td> <td> World Bank </td> </tr> <tr> <td> Sergio Venegas Marin </td> <td> World Bank </td> </tr> <tr> <td> Reema Nayar </td> <td> World Bank </td> </tr> <tr> <td> Marta Carnelli </td> <td> World Bank </td> </tr> <tr> <td> Brian Stacy </td> <td> World Bank </td> </tr> </table> </div> </div> <div class="table-responsive field field-study_desc_production_statement_funding_agencies"> <div class="field-title">Funding Agency/Sponsor</div> <div class=""> <table class="table table-sm table-bordered table-striped table-condensed xsl-table table-grid "> <tr> <th>Name</th> </tr> <tr> <td> Bill and Melinda Gates Foundation </td> </tr> <tr> <td> UK’s Foreign, Commonwealth, and Development Office (FCDO) </td> </tr> <tr> <td> Government of Japan </td> </tr> </table> </div> </div> </div><div class="field-section-container pb-3"><h2 class="field-section" id="study_desc1674579234511">Sampling</h2><div class="mb-2 field field-study_desc.method.data_collection.sampling_procedure"> <div class="font-weight-bold field-title">Sampling Procedure</div> <div class="field-value"> <span><p>The aim of the Global Education Policy Dashboard school survey is to produce nationally representative estimates, which will be able to detect changes in the indicators over time at a minimum power of 80% and with a 0.05 significance level. We also wish to detect differences by urban/rural location.</p> <p>For our school survey, we will employ a two-stage random sample design, where in the first stage a sample of typically around 200 schools, based on local conditions, is drawn, chosen in advance by the Bank staff. In the second stage, a sample of teachers and students will be drawn to answer questions from our survey modules, chosen in the field. A total of 10 teachers will be sampled for absenteeism. Five teachers will be interviewed and given a content knowledge exam. Three 1st grade students will be assessed at random, and a classroom of 4th grade students will be assessed at random. Stratification will be based on the school’s urban/rural classification and based on region. When stratifying by region, we will work with our partners within the country to make sure we include all relevant geographical divisions.</p> <p>For our Survey of Public Officials, we will sample a total of 200 public officials. Roughly 60 officials are typically surveyed at the federal level, while 140 officials will be surveyed at the regional/district level. For selection of officials at the regional and district level, we will employ a cluster sampling strategy, where roughly 10 regional offices (or whatever the secondary administrative unit is called) are chosen at random from among the regions in which schools were sampled. Then among these 10 regions, we also typically select around 10 districts (tertiary administrative level units) from among the districts in which schools werer sampled. The result of this sampling approach is that for 10 clusters we will have links from the school to the district office to the regional office to the central office. Within the regions/districts, five or six officials will be sampled, including the head of organization, HR director, two division directors from finance and planning, and one or two randomly selected professional employees among the finance, planning, and one other service related department chosen at random. At the federal level, we will interview the HR director, finance director, planning director, and three randomly selected service focused departments. In addition to the directors of each of these departments, a sample of 9 professional employees will be chosen in each department at random on the day of the interview.</p></span> </div> </div> <div class="mb-2 field field-study_desc.method.data_collection.sampling_deviation"> <div class="font-weight-bold field-title">Deviations from the Sample Design</div> <div class="field-value"> <span><p>MELQO data was merged with the Peru school frame in order to optimally stratify. We stratified on the basis of urban/rual and department. There are 25 departments in Peru. In 2017, Peru conducted an examination of around 4,500 children between 5 and 8 years old, with a median age of 6. The MELQO exam is quite similar to our ECD examination module. We are able to use data from this 2017 survey to choose the number of schools in each province optimally by calculating means and standard deviations by province and feeding this information into the optimal stratification algorithm. See <a href="https://cran.r-project.org/web/packages/SamplingStrata/vignettes/SamplingStrata.html">https://cran.r-project.org/web/packages/SamplingStrata/vignettes/SamplingStrata.html</a>. Provinces with low standard deviations among students in terms of their MELQO development scores are allocated fewer schools compared to an allocation that is simply based on population, and provinces with high standard deviations are allocated more schools.</p> <p>203 schools were chosen for our survey after optimally stratifying.</p></span> </div> </div> <div class="mb-2 field field-study_desc.method.data_collection.weight"> <div class="font-weight-bold field-title">Weighting</div> <div class="field-value"> <span><p>GEPD survey estimates must be properly weighted using a sampling weight to estimate the population of interest.</p> <p>School, teacher, and pupil-level sampling weights are stored in each file file.</p></span> </div> </div> </div><div class="field-section-container pb-3"><h2 class="field-section" id="study_desc1684332949622">Survey instrument</h2><div class="mb-2 field field-study_desc.method.data_collection.research_instrument"> <div class="font-weight-bold field-title">Questionnaires</div> <div class="field-value"> <span><p>The dashboard project collects new data in each country using three new instruments: a School Survey, a Policy Survey, and a Survey of Public Officials. Data collection involves school visits, classroom observations, legislative reviews, teacher and student assessments, and interviews with teachers, principals, and public officials. In addition, the project draws on some existing data sources to complement the new data it collects. A major objective of the GEPD project was to develop focused, cost-effective instruments and data-collection procedures, so that the dashboard can be inexpensive enough to be applied (and re-applied) in many countries. The team achieved this by streamlining and simplifying existing instruments, and thereby reducing the time required for data collection and training of enumerators. </p> <p>More information pertaining to each of the three instruments can be found below:</p> <ul> <li> <p>School Survey: The School Survey collects data primarily on practices (the quality of service delivery in schools), but also on some de facto policy indicators. It consists of streamlined versions of existing instruments—including Service Delivery Surveys on teachers and inputs/infrastructure, Teach on pedagogical practice, Global Early Child Development Database (GECDD) on school readiness of young children, and the Development World Management Survey (DWMS) on management quality—together with new questions to fill gaps in those instruments. Though the number of modules is similar to the full version of the Service Delivery Indicators (SDI) Survey, the number of items and the complexity of the questions within each module is significantly lower. The School Survey includes 8 short modules: School Information, Teacher Presence, Teacher Survey, Classroom Observation, Teacher Assessment, Early Learner Direct Assessment, School Management Survey, and 4th-grade Student Assessment. For a team of two enumerators, it takes on average about 4 hours to collect all information in a given school. For more information, refer to the Frequently Asked Questions. </p> </li> <li> <p>Policy Survey: The Policy Survey collects information to feed into the policy de jure indicators. This survey is filled out by key informants in each country, drawing on their knowledge to identify key elements of the policy framework (as in the SABER approach to policy-data collection that the Bank has used over the past 7 years). The survey includes questions on policies related to teachers, school management, inputs and infrastructure, and learners. In total, there are 52 questions in the survey as of June 2020. The key informant is expected to spend 2-3 days gathering and analyzing the relavant information to answer the survey questions. </p> </li> <li> <p>Survey of Public Officials: The Survey of Public Officials collects information about the capacity and orientation of the bureaucracy, as well as political factors affecting education outcomes. This survey is a streamlined and education-focused version of the civil-servant surveys that the Bureaucracy Lab (a joint initiative of the Governance Global Practice and the Development Impact Evaluation unit of the World Bank) has implemented in several countries. The survey includes questions about technical and leadership skills, work environment, stakeholder engagement, impartial decision-making, and attitudes and behaviors. The survey takes 30-45 minutes per public official and is used to interview Ministry of Education officials working at the central, regional, and district levels in each country.</p> </li> </ul></span> </div> </div> <div class="mb-2 field field-study_desc.method.method_notes"> <div class="font-weight-bold field-title">Methodology notes</div> <div class="field-value"> <span><p>Datasets have been cleaned, anonymized, and harmonized using R and Stata.</p> <p>Personal identifying information has been removed from the data file including names, addresses, and geolocation coordinates. Additionally, some continuous variables have been recoded to discrete bins to decrease the likelihood of reidentification including the number of students enrolled in the school and salary information for public officials.</p></span> </div> </div> </div><div class="field-section-container pb-3"><h2 class="field-section" id="study_desc1684332928200">Data collection</h2><div class="table-responsive field field-study_desc_study_info_coll_dates"> <div class="field-title">Dates of Data Collection</div> <div class=""> <table class="table table-sm table-bordered table-striped table-condensed xsl-table table-grid "> <tr> <th>Start</th> <th>End</th> </tr> <tr> <td> 2019-09-01 </td> <td> 2019-10-01 </td> </tr> </table> </div> </div> <div class="field field-study_desc.method.data_collection.coll_mode"> <div class="field-title">Mode of data collection</div> <div class="field-value"> <ul> <li>Computer Assisted Personal Interview [capi]</li> </ul> </div> </div> <div class="mb-2 field field-study_desc.method.data_collection.act_min"> <div class="font-weight-bold field-title">Supervision</div> <div class="field-value"> <span><p>World Bank</p></span> </div> </div> <div class="mb-2 field field-study_desc.method.data_collection.coll_situation"> <div class="font-weight-bold field-title">Data Collection Notes</div> <div class="field-value"> <span><p>Data collected using Survey Solutions platform.</p></span> </div> </div> </div><div class="field-section-container pb-3"><h2 class="field-section" id="study_desc1684334914432">Data appraisal</h2><div class="mb-2 field field-study_desc.method.analysis_info.sampling_error_estimates"> <div class="font-weight-bold field-title">Estimates of Sampling Error</div> <div class="field-value"> <span><p>The aim of the Global Education Policy Dashboard school survey is to produce nationally representative estimates, which will be able to detect changes in the indicators over time at a minimum power of 80% and with a 0.05 significance level.</p></span> </div> </div> </div><div class="field-section-container pb-3"><h2 class="field-section" id="study_desc1684334943415">Depositor information</h2><div class="table-responsive field field-study_desc_distribution_statement_depositor"> <div class="field-title">Depositor</div> <div class=""> <table class="table table-sm table-bordered table-striped table-condensed xsl-table table-grid "> <tr> <th>Name</th> </tr> <tr> <td> World Bank </td> </tr> </table> </div> </div> </div><div class="field-section-container pb-3"><h2 class="field-section" id="study_desc1684335103457">Data Access</h2><div class="table-responsive field field-study_desc_data_access_dataset_use_contact"> <div class="field-title">Access authority</div> <div class=""> <table class="table table-sm table-bordered table-striped table-condensed xsl-table table-grid "> <tr> <th>Name</th> </tr> <tr> <td> GEPD team </td> </tr> </table> </div> </div> <div class="table-responsive field field-study_desc_data_access_dataset_use_conf_dec"> <div class="field-title">Confidentiality</div> <div class=""> <table class="table table-sm table-bordered table-striped table-condensed xsl-table table-grid "> <tr> <th>Confidentiality declaration text</th> </tr> <tr> <td> Personal identifying information has been removed from the data file including names, addresses, and geolocation coordinates. Additionally, some continuous variables have been recoded to discrete bins to decrease the likelihood of reidentification including the number of students enrolled in the school and salary information for public officials. </td> </tr> </table> </div> </div> <div class="mb-2 field field-study_desc.data_access.dataset_use.cit_req"> <div class="font-weight-bold field-title">Citation requirements</div> <div class="field-value"> <span><p>Use of the dataset must be acknowledged using a citation which would include: </p> <ul> <li>the Identification of the Primary Investigator</li> <li>the title of the survey (including country, acronym and year of implementation)</li> <li>the survey reference number</li> <li>the source and date of download</li> </ul> <p>Example:<br /> Halsey Rogers (World Bank), Sergio Venegas Marin (World Bank), Reema Nayar (World Bank), Marta Carnelli (World Bank), Brian Stacy (World Bank). Peru - Global Education Policy Dashboard 2019 (GEPD 2019). Ref: PER_2019_GEPD_v01_M. Downloaded from [uri] on [date].</p></span> </div> </div> </div><div class="field-section-container pb-3"><h2 class="field-section" id="study_desc1684335112393">Disclaimer and copyrights</h2><div class="mb-2 field field-study_desc.data_access.dataset_use.disclaimer"> <div class="font-weight-bold field-title">Disclaimer</div> <div class="field-value"> <span><p>The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.</p></span> </div> </div> </div><div class="field-section-container pb-3"><h2 class="field-section" id="study_desc1684335140110">Contacts</h2><div class="table-responsive field field-study_desc_distribution_statement_contact"> <div class="field-title">Contacts</div> <div class=""> <table class="table table-sm table-bordered table-striped table-condensed xsl-table table-grid "> <tr> <th>Name</th> <th>Email</th> </tr> <tr> <td> GEPD team </td> <td> educationdashboard@worldbank.org </td> </tr> </table> </div> </div> </div></div><div><div class="field-section-container pb-3"><h2 class="field-section" id="doc_desc.title_statement">Metadata production</h2><div class="mb-2 field field-doc_desc.idno"> <div class="font-weight-bold field-title">DDI Document ID</div> <div class="field-value"> <span><p>DDI_PER_2019_GEPD_v01_M_WB</p></span> </div> </div> <div class="table-responsive field field-doc_desc_producers"> <div class="field-title">Producers</div> <div class=""> <table class="table table-sm table-bordered table-striped table-condensed xsl-table table-grid "> <tr> <th>Name</th> <th>Abbreviation</th> <th>Affiliation</th> <th>Role</th> </tr> <tr> <td> Development Data Group </td> <td> DECDG </td> <td> World Bank </td> <td> Documentation of the study </td> </tr> </table> </div> </div> <div class="mb-2 field field-doc_desc.prod_date"> <div class="font-weight-bold field-title">Date of Metadata Production</div> <div class="field-value"> <span><p>2024-11-13</p></span> </div> </div> <div class="field-section-container pb-3"><h2 class="field-section" id="doc_description1684333414594">Metadata version</h2><div class="mb-2 field field-doc_desc.version_statement.version"> <div class="font-weight-bold field-title">DDI Document version</div> <div class="field-value"> <span><p>Version 01 (2024-11-13)</p></span> </div> </div> </div></div></div><div class="field-section-container pb-3"><h2 class="field-section" id="citations_section">Citation</h2> <div class="mb-2 field field-widgets.doi.citations"> <div class="font-weight-bold field-title">Citation</div> <div class="doi-citation" ><a target="_blank" href="https://citation.crosscite.org/?doi=https://doi.org/10.48529/nzg2-aj65"><i class="fas fa-spinner fa-spin"></i> loading, please wait...</a></div> <div class="pt-2" style="font-size:small;display:none"> <span class="btn btn-sm btn-outline-secondary collapsed" data-toggle="collapse" data-target="#citation_options" aria-expanded="false" aria-controls="citation_options">Citation format <i class="fas fa-cog"></i></span> </div> <div class="collapse clearfix bg-light p-3" id="citation_options"> <form action="https://microdata.worldbank.org/index.php/catalog/6406" class="form-inline pt-2" method="post" accept-charset="utf-8"> <input type="hidden" name="ncsrf" value="41738ca776b96bb7e97c6da6c99ffea7" /> <div class="form-group"> <label for="doi_format" class="mr-2">Format</label> <select class="form-control form-control-sm" id="doi_format"> <option value="apa" selected="selected">APA</option> <option value="university-of-york-mla">MLA</option> <option value="harvard-cite-them-right">Harvard</option> <option value="chicago-fullnote-bibliography-16th-edition">Chicago</option> </select> </div> </form> </div> <div class="mt-3 text-secondary" style="font-size:small;"> Export citation: <a onclick="citation_export('ris')" href="#ris">RIS</a> | <a onclick="citation_export('bib')" href="#bib">BibTeX</a> | <a onclick="citation_export('txt')" href="#txt">Plain text</a> <div id="export-citation-status"></div> </div> </div> <script> function get_citation_by_doi() { var doi='https://doi.org/10.48529/nzg2-aj65'; var url='https://doi.org/'+doi; var doi_citation=$('.doi-citation'); doi_citation.html('<i class="fas fa-spinner fa-spin"></i> loading, please wait...'); $.ajax({ url: url, dataType: 'html', headers:{ Accept: 'text/x-bibliography; style='+$('#doi_format').val() }, success: function(data){ console.log("success",data); var citation=data; doi_citation.html(citation); }, error: function(data){ console.log("error",data); doi_citation.html('<i class="fas fa-exclamation-triangle"></i> Citation is not available.'); doi_citation.toggle(); } }); } function citation_export(format='txt') { var doi='https://doi.org/10.48529/nzg2-aj65'; var url='https://doi.org/'+doi; var citation_export_status=$('#export-citation-status'); var formats={ 'ris':'application/x-research-info-systems', 'bib':'application/x-bibtex', 'xml':'application/xml', 'json':'application/json', 'rdf':'application/rdf+xml', 'rdf_turtle':'text/turtle', 'txt':'text/x-bibliography', }; citation_export_status.html('<i class="fas fa-spinner fa-spin"></i> exporting, please wait...'); $.ajax({ url: url, dataType: 'html', headers:{ Accept: formats[format] }, success: function(data){ var citation=data; js_download('citation.'+format,citation); citation_export_status.html(''); }, error: function(data){ citation_export_status.html('<i class="fas fa-exclamation-triangle"></i> Citation is not available.'); } }); } function js_download(filename, text) { var element = document.createElement('a'); element.setAttribute('href', 'data:text/plain;charset=utf-8,' + encodeURIComponent(text)); element.setAttribute('download', filename); element.style.display = 'none'; document.body.appendChild(element); element.click(); document.body.removeChild(element); } $(document).ready(function() { get_citation_by_doi(); $("#doi_format").change(function(){ get_citation_by_doi(); }); }); </script> </div> </div> </div> </div> <script> $(function() { $(".study-metadata").linkify(); }); </script> <style> .study-metadata h2{ border-bottom:1px solid #e8e8e8; padding-bottom:5px; margin-bottom:25px; padding-top:20px; } .study-metadata .field-title{ text-transform: uppercase; margin-top:15px; font-weight:bold; } .study-metadata h4.field-title{ margin-top:0px; } .field-section-container .field-section-container h2{ font-size:22px; } .badge-tags{ font-size:14px!important; } </style></div> <div class="mt-5"> <a class="btn btn-sm btn-secondary" href="https://microdata.worldbank.org/index.php/catalog"><i class="fas fa-arrow-circle-left"></i> Back to Catalog</a> </div> </div> </div>  </div> </div>  <script type="text/javascript"> function toggle_resource(element_id){ $("#"+element_id).parent(".resource").toggleClass("active"); $("#"+element_id).toggle(); } $(document).ready(function () { bind_behaviours(); $(".show-datafiles").click(function(){ $(".data-files .hidden").removeClass("hidden"); $(".show-datafiles").hide(); return false; }); //setup bootstrap scrollspy $("body").attr('data-spy', 'scroll'); $("body").attr('data-target', '#dataset-metadata-sidebar'); $("body").attr('data-offset', '0'); $("body").scrollspy('refresh'); }); function bind_behaviours() { //show variable info by id $(".resource-info").unbind('click'); $(".resource-info").click(function(){ if($(this).attr("id")!=''){ toggle_resource('info_'+$(this).attr("id")); } return false; }); } </script> </div> </div>  <footer>   <button onclick="javascript:uvClick()" style="background: #03A9F4;position: fixed;right: 0px;border: none;padding: 5px;color: white;bottom: 10px;"> <i class="fa fa-headphones headphones-help-widget" aria-hidden="true"></i><span>Help / Feedback</span> </button> <script type="text/javascript" src="https://microdata.worldbank.org/themes/bootstrap4/js/uservoice.inc.js?v=202010"></script>  <div class="full-row-footer-black-components"> <div class="container"> <div class="footer"> <div class="row">  <div class="col-12 col-md-2"> <div class="text-center text-lg-left"> <a href="http://www.worldbank.org/"> <img src="https://www.worldbank.org/content/dam/wbr-redesign/logos/logo-wbg-footer-en.svg" title="The World Bank Working for a World Free of Poverty" alt="The World Bank Working for a World Free of Poverty"> </a> </div> </div> <div class="col-12 col-md-4 footer-bottom-left"> <ul class="footer-ul-links-centered"> <li> <a class="wbg-partnership" title="International Bank for Reconstruction and Development" href="http://www.worldbank.org/en/who-we-are/ibrd">IBRD</a> <a class="wbg-partnership" title="International Development Association" href="http://www.worldbank.org/ida">IDA</a> <a class="wbg-partnership" title="International Finance Corporation" href="http://www.ifc.org/">IFC</a> <a class="wbg-partnership" title="Multilateral Investment Guarantee Agency" href="http://www.miga.org/">MIGA</a> <a class="wbg-partnership" title="International Centre for Settlement of Investment Disputes" href="http://icsid.worldbank.org/">ICSID</a> </li> </ul> </div>   <div class="col-12 col-md-6 footer-bottom-right"> <div class=""> <div class="footer-copy-right"> <p class="text-center text-lg-right"> <small> © <script language="JavaScript"> var time = new Date(); var year = time.getYear(); if (year < 2000) year = year + 1900 + ", "; document.write(year); // End --> </script> The World Bank Group, All Rights Reserved. </small> </p> </div> </div> </div>  </div> </div> </div> </div> </footer> <style> .consent-text, .consent-text p, .consent-text button, .consent-text a { color:white; } .consent-text a:link{ text-decoration:underline; } .consent-text button, .consent-text button:hover { color:white; position:absolute; top:10px; right:10px; } .consent-popup{ display:none; padding:25px 10px; } </style> <div class="fixed-bottom consent-popup" style="background:rgba(0,0,0,0.87);"> <div class="container consent-text" > <p>This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, <a href="https://www.worldbank.org/en/about/legal/privacy-notice">click here</a>.</p> <button type="button" class="close consent-close" aria-label="Close" > <span aria-hidden="true">×</span> </button> </div> </div> <script> function create_cookie(name,value,days) { if (days) { var date = new Date(); date.setTime(date.getTime()+(days*24*60*60*1000)); var expires = "; expires="+date.toGMTString(); } else var expires = ""; document.cookie = name+"="+value+expires+"; path=/"; } function read_cookie(name) { var nameEQ = name + "="; var ca = document.cookie.split(';'); for(var i=0;i < ca.length;i++) { var c = ca[i]; while (c.charAt(0)==' ') c = c.substring(1,c.length); if (c.indexOf(nameEQ) == 0) return c.substring(nameEQ.length,c.length); } return null; } function erase_cookie(name) { create_cookie(name,"",-1); } $(document).ready(function() { var consent=read_cookie("ml_consent"); if(consent==null || consent==''){ $(".consent-popup").show(); } else{ $(".consent-popup").hide(); } }); $(document.body).on("click",".consent-close", function(){ create_cookie('ml_consent',1,0); $(".consent-popup").hide(); }); </script> <script src="//assets.adobedtm.com/572ee9d70241b5c796ae15c773eaaee4365408ec/satelliteLib-efd6120a6f6ed94da49cf49e2ba626ac110c7e3c.js"></script> <script> var s_repo="CENTRAL"; var wbgData = wbgData || {}; wbgData.page={ pageInfo: { channel: "DEC Microdata Catalog EXT", pageName: 'microdata-ext:'+document.title, //(required) - unique page name pageCategory: "", //home, errorPage, search results pageUid: 'microdata-ext:'+document.title, pageFirstPub: "", pageLastMod: "", author: "", topicTag: "", subtopicTag: "", contentType: "", channel: 'DEC Microdata Catalog EXT',//required webpackage: s_repo //repository }, sectionInfo: { siteSection: s_repo, subsectionP2: $("#dataset-metadata-info").attr("data-idno"), subsectionP3: $("#dataset-country").text(), subsectionP4: $("#dataset-year").text(), subsectionP5: $("#dataset-metadata-info").attr("data-idno"), } } wbgData.site = { pageLoad: "N", siteInfo: { siteLanguage: "en", siteCountry: "", siteEnv: "PROD", siteType: "microdata", siteRegion: "", userIpaddressType: "", }, techInfo: { cmsType: "NADA", bussVPUnit: "dec", bussUnit: "decsu", bussUserGroup: "external", bussAgency: "ibrd", } } </script> <script type="text/javascript"> $(document).ready(function(){ _satellite.track("dynamicdata"); _satellite.pageBottom(); }); </script> <script language="JavaScript"> $(document).ready(function() { //make all download links open in new $(".download").attr('target', '_blank'); //custom links $(".download").mousedown(function(e) { ss=s_gi(s_account); ss.pageName='download:'+$(this).attr("title"); ss.pageURL=$(this).attr("href"); ss.events="download"; ss.prop2=$("#dataset-metadata-info").attr("data-repositoryid");//repositoryid ss.prop3=$("#dataset-metadata-info").attr("data-id");//dataset-id ss.prop4=$("#dataset-metadata-info").attr("data-idno");//dataset-idno ss.prop5=$("#dataset-country").text();//dataset-country ss.prop6=$("#dataset-year").text();//dataset-year ss.prop12=$(this).attr("data-extension");//file-extension ss.prop22=$(this).attr("data-filename");//file name ss.prop9=$(this).attr("data-dctype");//file type ss.prop33=$(this).attr("href");//download link ss.prop20='download'; try{ ss.t(); } catch(err){ console.log(err); } }); $(document).ajaxSend(function(event, request, settings) { var ss_prop1='search'; //catalog search if (settings.url.indexOf("catalog/search") != -1) { var pos=settings.url.indexOf("?"); if (pos != -1) { ss_prop1=s_repo.concat("> Search " + settings.url.substring(pos) ); } } else { ss_prop1=settings.url; } ss=s_gi(s_account); ss.pageName=ss_prop1; ss.pageURL=ss_prop1; ss.events="search"; try{ ss.t(); } catch(err){ console.log(err); } }); }); </script> </body> </html>

CINXE.COM

Peru - Global Education Policy Dashboard 2019