Service Delivery Indicators Education Survey 2016 - Harmonized Public Use Data
Tanzania, 2016
Get MicrodataIdentification
| Name | Country code |
|---|---|
| Tanzania | TZA |
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 was 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.
The Education SDIs include teacher effort, teacher knowledge and ability, and the availability of key inputs (for example, textbooks, basic teaching equipment, and infrastructure such as blackboards and toilets). The indicators provide a snapshot of the learning environment and the key resources necessary for students to learn.
Tanzania Service Delivery Indicators Education Survey was implemented between August and December 2016 by Research in Poverty Alleviation (REPOA) in close coordination with the World Bank SDI team. Four hundred primary schools were visited, 2,145 standard three, four, and five teachers were assessed on English, mathematics, and pedagogy, 3,659 teachers of all grades have been followed for absence rate. Also, although learning outcomes are not part of the indicators, 4,797 standard four pupils have been assessed on language (English/Kiswahili), mathematics, and non-verbal reasoning. It is crucial that the indicators are correlated with pupil learning outcome because the SDI is geared towards capturing the drivers of learning outcomes at the school level. This was the third SDI survey conducted to assess the quality of services provided by Tanzania's education sector (previous surveys were conducted in 2010 and 2014).
- Teachers
- Students
Version
Scope
The core Education Service Delivery Indicators are:
- Teacher Effort:
- School absence rate
- Classroom absence rate
- Time spent teaching per day
- Teacher Knowledge and Ability:
- Minimum knowledge among teachers
- Availability of Inputs:
- Infrastructure availability
- Equipment availability
- Share of pupils with textbooks
- Observed pupil-teacher ratio
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.
Coverage
National.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Waly Wane | The World Bank |
| Name |
|---|
| Department for International Development |
| William and Flora Hewlett Foundation |
| World Bank |
Sampling
Sampling procedures for the 2016 Tanzania SDI Education Survey followed the same methodology implemented for its predecessor, the 2014 Tanzania SDI Education Survey.
A multi-stage clustered sampling strategy was adopted. 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 2016 Tanzania Education SDI was based on the 2012 EMIS data provided by the Ministry of Education and Vocational Training.
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 were 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.
None.
SDI survey estimates must be properly weighted using a sampling weight or expansion factor to estimate the representativeness of the population of interest.
School, teacher, and pupil-level sampling weights are stored in the "TZN_2016_EDU_Weights.dta" file.
Survey instrument
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.
Data collection
| Start | End |
|---|---|
| 2016-08-02 | 2016-12-02 |
| 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 processing
Data entry was done using CSPro; quality control was performed in Stata.
Access policy
| 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:
- 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:
Waly Wane, The World Bank. Tanzania Service Delivery Indicators Education Survey (SDI-E) 2016 - Harmonized Public Use Data, Ref. TZA_2016_SDI-E_v01_M_v01_A_PUF. Dataset downloaded from [URL] on [date].
Depositor information
| Name | Affiliation |
|---|---|
| Sebastian Diogenes Insfran Moreno | The World Bank |
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 | |
|---|---|---|
| SDI team | HD Practice Group, The World Bank | sdi@worldbank.org |
Metadata production
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank Group |
Documentation of the DDI |