Identification
Survey ID number
PAK_2018_SABER-SD_v01_M
Title
SABER Service Delivery 2018, Measuring Education Service Delivery
Abbreviation or Acronym
SABER-SD 2018
Country/Economy
| Name |
Country code |
|
Pakistan |
PAK |
Study type
Service Provision Assessments [hh/spa]
Series Information
Systems Approach to Better Education Results - Service Delivery (SABER SD) consists of a collection of school-based surveys implemented globally. The SABER SD survey work began in 2016. So far, three countries are included in the series: Laos PDR, Afghanistan and the province of Punjab in Pakistan
Abstract
The SABER Service Delivery (SD) tool was developed in 2016 in the Global Engagement and Knowledge Unit of the Education Global Practice (GP) at the World Bank, as an initiative to uncover bottlenecks that inhibit student learning in low and middle-income countries and to better understand the quality of education service delivery in a country as well as gaps in policy implementation. This school survey is aligned to the latest education research on what matters for student learning and how best to measure it. Its main purpose is to provide a mechanism to assess these different determinants of learning through a diagnostic tool and also to uncover the extent to which policies translate into implementation and practice. As a global initiative, SABER SD provides data for the new global lead indicator on learning, which makes it easier to monitor the Sustainable Development Goal of achieving universal primary education.
The foundations of the SABER SD survey build upon two pre-existing World Bank Group initiatives that produce comparative data and knowledge on education systems: SABER (System Approach for Better Education Results) and SDI (Service Delivery Indicators). It also draws upon earlier surveys, namely, QSDS (Quality of Service Delivery Surveys) and PETs (Public Expenditure Tracking). On the one hand, the SABER SD tool builds on the evidence base and captures policy implementation measures from the core SABER domains. On the other hand, the SABER SD tool adapts and extends the surveys that were developed and implemented under the SDI program, which provides a set of metrics for benchmarking service delivery performance in education and health in Africa. There are two main factors that distinguish the SABER SD tool from SDI: (i) it has expanded the measurement of service delivery in primary education outside Africa and into Asia through pilots in Afghanistan, Pakistan and Laos, and (ii) it has adapted and extended the SDI approach by including additional test items from TIMSS and PIRLS, different modality for test administration, different classroom observation modules, and additional questions on student background.
In alignment with the World Development Report (WDR 2018), the SABER SD instrument collects information on the the four key elements of an education system, which are identified as the main determinants for student learning (teachers, school management, school infrastructure, student preparedness). This survey strategically collects information on the most important school inputs and processes that produce learning outcomes. The SABER SD instrument collects data at the school level and asks questions related to the roles of all levels of government (including local and regional). The tool provides comprehensive data on: teacher effort and ability; principal leadership; school governance, management, and finances; community participation; and student performance in Mathematics and Language which includes a classroom observation module.
Unit of Analysis
The unit of analysis varies for each of the modules. They are as follows:
Module 1, the unit of analysis is the school.
Module 2, the unit of analysis is the teacher.
Module 3, the unit of analysis is the principal/school.
Module 4, the unit of analysis is the classroom/school/teacher.
Module 5, the unit of analysis is the student.
Module 6, the unit of analysis is the teacher.
For modules where the unit of analysis is not the school (i.e., teachers and/or students), it is possible to create an average for the school based on groupings by the unique identifier - the school code.
