TZA_2014_SDI-E_v01_M_v02_A_PUF
Service Delivery Indicators Education Survey 2014 - Harmonized Public Use Data
Name | Country code |
---|---|
Tanzania | TZN |
This survey is part of the Service Delivery Indicators (SDI) project, an initiative led by the World Bank. SDI surveys track the quality of service delivery in primary schools and frontline health facilities across Africa and other regions of the world. The indicators can be used to track progress within and across countries over time and aim to enhance the active monitoring of service delivery to increase public accountability and good governance. Ultimately, the goal of the program is to support policymakers, citizens, service providers, donors, and other stakeholders in enhancing the quality of service delivery and improve development outcomes.
Since the inception of the initiative in 2010, twenty-six surveys have been completed in twelve countries in Africa, capturing the health and primary education service delivery experience of over 500 million people. The surveys have been extended in Africa (with SDIs in the pipeline or envisioned in Benin, DRC, Cameron, Madagascar, Ethiopia, Cote D’Ivoire, Gambia, Guinea Bissau, Malawi, and Mali) and beyond: data collection for the first SDI surveys in Latin America (Guatemala), East Asia/Pacific (Indonesia), Europe and Central Asia (Armenia, Moldova and Ukraine), Middle East and North Africa (Iraq), and South Asia (Bhutan) are underway or being considered.
With the exception of Module 3 (school finances), the datasets distributed here were harmonized to a common standard to facilitate comparisons across countries and over time. The data was also anonymized to preserve the confidentiality of the data of respondents. The harmonization and anonymization work were conducted by the SDI team at the World Bank.
SDI surveys are documented in the Microdata Library as Service Delivery Indicators Health Surveys and Service Delivery Indicators Education Surveys.
Sample survey data [ssd]
Schools, teachers, students.
v02, harmonized and anonymized data for public distribution.
Module 3 (School Management/Finances) was added to the collection. It is important to note that module 3’s variables were not harmonized to a common standard. Given different educational (and administrative) structures in each SDI country, questions for module 3 are uniquely designed according to the country’s interests and context. Nonetheless, the dataset was still subject to a thorough anonymization process like the rest of the datasets added to the collection.
2021-02-24
Compared to v01, v02 changes include:
For more details on the anonymization process, please refer to the Anonymization Protocol included as part of this collection’s documentation.
The core Education Service Delivery Indicators are:
The survey also tests grade 4 pupils on mathematics, linguistics and non-verbal reasoning. Additionally, direct observations are made to assess firsthand classroom conditions as well as school inputs and infrastructure that teachers and students have readily available.
SDI instruments also include modules on school's finances and staff/teacher rosters that include their qualifications and demographic information.
National
Name | Affiliation |
---|---|
Waly Wane | The World Bank |
Name | Affiliation | Role |
---|---|---|
Prof. Samwel Wangwe | Research on Poverty Alleviation (REPOA) | Coordination |
Lucas Katera | Research on Poverty Alleviation (REPOA) | Supervision |
Name |
---|
Department for International Development |
William and Flora Hewlett Foundation |
World Bank |
A multi-stage clustered sampling strategy was adopted for the Tanzania SDI Education Survey. The first stage cluster selection was carried out independently within each explicit stratum. The primary cluster was the council. Schools were selected at the second stage. Teacher and standard four pupils at the third stage. The sampling frame for the 2014 Tanzania Education SDI was based on the 2012 EMIS data provided by the Ministry of Education and Vocational Training. It was decided that within each stratum, except Dar es Salaam, 25 councils would be chosen with probability proportional to size.
The schools were chosen using probability proportional to size (PPS), where size was the number of standard two pupils as provided by the 2012 EMIS database. As for the selection of the cluster, the use of PPS implied that each standard four pupil within a stratum had an equal probability for her school to be selected.
Finally, within each school, up to 10 standard four pupils and 10 teachers were selected. Pupils were randomly selected among the standard four pupil body, whereas for teachers, there were two different procedures for measuring absence rate and assessing knowledge. For absence rate, 10 teachers were randomly selected from the teachers' roster and the whereabouts of those teachers was ascertained in a return surprise visit. For the knowledge assessment, however, all teachers who were currently teaching in primary four or taught primary three the previous school year were included in the sample. Then a random number of teachers in upper grades were included to top up the sample.
Detailed information on the sampling procedure is available in the attached report.
None.
SDI survey estimates must be properly weighted using a sampling weight or expansion factor to estimate representativeness of the population of interest.
School, teacher, and pupil-level sampling weights are stored in the "TZN_2014_EDU_Weights.dta" file.
The SDI Education Survey Questionnaire consists of six modules:
Module 1: School Information - Administered to the head of the school to collect information about school type, facilities, school governance, pupil numbers, and school hours. Includes direct observations of school infrastructure by enumerators.
Module 2a: Teacher Absence and Information - Administered to head teacher and individual teachers to obtain a list of all school teachers, to measure teacher absence and to collect information about teacher characteristics.
Module 2b: Teacher Absence and Information - Unannounced visit to the school to assess absence rate.
Module 3: School Finances - Administered to the head teacher to collect information about school finances (this data is unharmonized).
Module 4: Classroom Observation - An observation module to assess teaching activities and classroom conditions.
Module 5: Pupil Assessment - A test of pupils to have a measure of pupil learning outcomes in mathematics and language in grade four.
Module 6: Teacher Assessment - A test of teachers covering mathematics and language subject knowledge and teaching skills.
Start | End |
---|---|
2014-05-01 | 2014-09-30 |
Name |
---|
Research in Poverty Alleviation (REPOA) |
Tanzania Education SDI, unlike all other SDI countries, only reports on public schools. This is due to the near nonexistence of private schools at the primary level.
Data entry was done using CSPro; quality control was performed in Stata.
For more information about the sampling process, refer to “Annex A: Tanzania SDI Sampling Strategy” in the Country Report attached as documentation.
Name | Affiliation |
---|---|
Sebastian Diogenes Insfran Moreno | The World Bank |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
---|---|
yes | Details about the anonymization process can be found in the documentation provided with these datasets. |
The harmonized, anonymized datasets are available as public files (for use under a License).
Researchers who feel that they need non-anonymized data should contact sdi@worldbank.org with a statement of research objectives and a rationale for why they require such data. That will start the Research Use File discussion.
Use of the dataset must be acknowledged using a citation which would include:
Waly Wane, The World Bank. Tanzania Service Delivery Indicators Education Survey (SDI-E) 2014 - Harmonized Public Use Data, Ref. TZA_2014_SDI-E_v01_M_v02_A_PUF. Dataset downloaded from [URL] on [date].
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.
Name | Affiliation | |
---|---|---|
SDI team | HD Practice Group, The World Bank | sdi@worldbank.org |
DDI_TZA_2014_SDI-E_v01_M_v02_A_PUF_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
2021-02-22
Version 02 (February 2021). This version differs from the original version as it includes:
The metadata and documentation included in this version reflect and explain these changes.
2021-02-24
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, click here.