The World Bank Working for a World Free of Poverty Microdata Library
  • Data Catalog
  • Collections
  • Citations
  • Terms of use
  • About
  • Login
    Login
    Home / Central Data Catalog / SDI / TZA_2016_SDI-E_V01_M_V01_A_PUF
sdi

Service Delivery Indicators Education Survey 2016 - Harmonized Public Use Data

Tanzania, 2016
Get Microdata
Reference ID
TZA_2016_SDI-E_v01_M_v01_A_PUF
DOI
https://doi.org/10.48529/hjyh-n994
Producer(s)
Waly Wane
Collection(s)
Service Delivery Indicators
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 24, 2021
Last modified
Feb 24, 2021
Page views
10925
Downloads
544
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Questionnaires
  • Data Processing
  • Access policy
  • Disclaimer and copyrights
  • Metadata production

Identification

Survey ID Number
TZA_2016_SDI-E_v01_M_v01_A_PUF
Title
Service Delivery Indicators Education Survey 2016 - Harmonized Public Use Data
Country/Economy
Name Country code
Tanzania TZA
Series Information
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 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.
Abstract
The Service Delivery Indicators (SDI) are a set of health and education indicators that examine the effort and ability of staff and the availability of key inputs and resources that contribute to a functioning school or health facility. The indicators are standardized allowing comparison between and within countries over time.

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).
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Schools
- Teachers
- Students

Version

Version Description
v01, harmonized and anonymized data for public distribution.
Version Date
2020-12-14

Scope

Notes
The core Education Service Delivery Indicators are:

1) Teacher Effort:
- School absence rate
- Classroom absence rate
- Time spent teaching per day

2) Teacher Knowledge and Ability:
- Minimum knowledge among teachers

3) 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

Geographic Coverage
National.

Producers and sponsors

Primary investigators
Name Affiliation
Waly Wane The World Bank
Funding Agency/Sponsor
Name Abbreviation
Department for International Development DfID
William and Flora Hewlett Foundation
World Bank WB

Sampling

Sampling Procedure
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.
Deviations from the Sample Design
None.
Weighting
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.

Data Collection

Dates of Data Collection
Start End
2016-08-02 2016-12-02
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
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 Collectors
Name
Research in Poverty Alleviation (REPOA)

Questionnaires

Questionnaires
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 Processing

Data Editing
Data entry was done using CSPro; quality control was performed in Stata.
Other Processing
Datasets have been cleaned, anonymized, and harmonized using Stata.

For some variables, missing observations were recoded and/or distinctly labeled as:
Skips: "-999", or ".a"
Don't Know: "999", "99", or ".b"
Confidential Information (Anonymized): "Confidential", or ".c "
Not Available: ".n"

Access policy

Contacts
Name Affiliation Email
SDI team HD Practice Group, The World Bank sdi@worldbank.org
Confidentiality
Details about the anonymization process can be found in the documentation provided with these datasets.
Access conditions
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.
Citation requirements
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].

Disclaimer and copyrights

Disclaimer
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 Document ID
DDI_TZA_2016_SDI-E_v01_M_v01_A_PUF_WB
Producers
Name Abbreviation Affiliation Role
Development Economics Data Group DECDG The World Bank Group Documentation of the DDI
Date of Metadata Production
2021-02-22
Back to Catalog
The World Bank Working for a World Free of Poverty
  • IBRD IDA IFC MIGA ICSID

© The World Bank Group, All Rights Reserved.

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.