SABER Service Delivery 2018, Measuring Education Service Delivery
Pakistan, 2018
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PAK_2018_SABER-SD_v01_M
SABER Service Delivery 2018, Measuring Education Service Delivery
SABER-SD 2018
| Name | Country code |
|---|---|
| Pakistan | PAK |
Service Provision Assessments [hh/spa]
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
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.
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.
Version
Edited data, second version, for internal use only.
Scope
The scope of the survey includes information on the following education variables among others:
- School facility and infrastructure
- Teacher/Principal background
- Teacher/Principal absenteeism
- Teacher/Principal knowledge
- School management and accountability
- School finance
- Community participation
- Classroom observation
- Student background
- Student assessment
- Teacher assessment
Data was collected across the following strata: 5 regions (Central/ East/ North/ South/West); urban/rural; gender (boys schools/girls schools/coeducational schools)
Producers and sponsors
| Name | Affiliation |
|---|---|
| World Bank | WBG |
| Name | Affiliation |
|---|---|
| Koen Martijn Geven | World Bank |
| Ahmed Raza | World Bank |
| Name |
|---|
| SABER Trust Fund |
Data collection
| Start | End | Cycle |
|---|---|---|
| 2018-03-18 | 2018-05-15 | Baseline |
| 2018-12-15 | 2018-12-27 | Endline |
- Computer Assisted Personal Interview [capi]
Data Access
| Name | Affiliation |
|---|---|
| Sheena Fazili | World Bank |
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
World Bank (WBG). Pakistan - SABER Service Delivery 2018, Measuring Education Service Delivery (SABER-SD 2018). Ref: PAK_2018_SABER-SD_v01_M. Downloaded from [uri] on [date].
Disclaimer and copyrights
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.
Metadata production
DDI_PAK_2018_SABER-SD_v01_M_WB
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | World Bank | Documentation of the study |
2023-09-07
Metadata version
Version 01 (2023-09-07)