Snapshot of School Management Effectiveness 2014
Lao PDR, 2014
Identification
LAO_2014_SSME_v01_M
Snapshot of School Management Effectiveness 2014
Case Studies
| Name | Country code |
|---|---|
| Lao PDR | LAO |
--
Case studies in 6 provinces participating in the EGRA assessment
The Snapshot for School Management Effectiveness (SSME) lets school, district, provincial, or national administrators and policymakers learn what is going on in their schools and classrooms and understand how to make their schools more effective. Management data include: pedagogical approach; time on task; interactions among students, teachers, administrators, district officials, and parents; record keeping; discipline; school infrastructure; pedagogical materials; and safety. SSME data are collected via direct classroom and school observation; student assessments; and interviews with parents, teachers, principals, and parents.
EdData II developed the SSME methodology and has applied it in six countries and six languages. It has been adopted and used by other implementing partners in eight other countries and six other languages. SSME has been used in conjunction with the Early Grade Reading Assessment (EGRA) and Early Grade Math Assessment (EGMA) to produce a broader picture of school-related factors that may affect student performance in reading and mathematics.
Sample survey data [ssd]
Student, teacher, school, school committee, village, Village Education Development Committee, Principals
Scope
Case studies using school and village-level variables affecting student reading outcomes, using the SSME tool in randomly-selected provinces participating in the 2012 Lao EGRA survey.
Coverage
6 provinces, 3 regions. Representative within regions/provinces independent sampling.
Six provinces, three regions in country.
Producers and sponsors
| Name |
|---|
| United States Agency for International Development (USAID) |
| RTI International |
| Name |
|---|
| Global Partnership for Education |
Sampling
SSME is a field-tested instrument that can be used to determine whether schools in a country, region, or pilot project area are following "best practice" in terms of overall management and pedagogical management, as well as governance. The data can be used to feed deliberations as to improvement strategies or can be used to track improvements due to project and policy interventions. The pilot experiences confirm that relatively small samples that are based on intense visits and gathering can yield very telling data. Visits of one day each to between 40 and 70 schools, for example, are sufficient to characterize schools with sufficient specificity as to lead to actionable knowledge. Thus, it is possible to lower the cost and time-to-completion of data-gathering processes while maintaining sufficient (and specifiable) rigor.
Survey instrument
Case studies through interviews to pedagogical advisors, students, teachers, principals, village education development committees.
Data collection
| Start | End |
|---|---|
| 2014 | 2014 |
Management data collected by the SSME include pedagogical approaches used; time on task; interactions among students, teachers, administrators, district officials, and parents; record keeping; discipline; availability and condition of school infrastructure; availability of pedagogical materials; and safety.
Additionally, the SSME includes portions of two other instruments: the Early Grade Reading Assessment (EGRA) and Early Grade Mathematics Assessment (EGMA). These brief but thorough oral assessments are administered individually to randomly selected students, and add to the information about school management effectiveness by accurately evaluating students' knowledge of foundational reading and math skills. Thus, SSME gives a holistic snapshot of schools-from the administration and infrastructure to the teachers and students.
Data are collected via direct classroom and school observation; student assessments; and interviews with teachers, principals, and students. By collecting information on only the most crucial school effectiveness factors and by applying innovative and simple data-collection methodologies, the SSME is able to produce a rich data set at low cost. In fact, the SSME was designed to be administered to a school in just one day using a set of trained assessors.
Depositor information
| Name | Affiliation |
|---|---|
| Kristen Andrew McDonall | World Bank Group |
Data Access
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,
United States Agency for International Development, RTI International. Lao PDR Snapshot of School Management Effectiveness Case Studies (SSME) 2014, Ref. LAO_2014_SSME_v01_M. Dataset downloaded from [url] 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.
Contacts
| Name | Affiliation | |
|---|---|---|
| Myrna Machuca-Sierra | World Bank Group | mmachucasierra@worldbank.org |
| Tasha Sinai | World Bank Group | tsinai@worldbank.org |
| Omporn Regel | World Bank Group | oregel@worldbank.org |
| Amy Mulcahy-Dunn | RTI International | amulcahydunn@rti.org |
Metadata production
DDI_LAO_2014_SSME_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | The World Bank | Documentation of the DDI |
2015-07-28
Metadata version
Version 01 (July 2015)