Quantitative Service Delivery Survey in Education 1998
Indonesia, 1998
Identification
IDN_1998_QSDS_v01_M
Quantitative Service Delivery Survey in Education 1998
First Round
| Name | Country code |
|---|---|
| Indonesia | IDN |
Quantitative Service Delivery Survey (QSDS)
Quantitative Service Delivery Surveys (QSDS) are multi-purpose surveys that assess quality and performance in resource usage at the frontline facility level, such as schools, health clinics and hospitals. QSDS collect information on characteristics and activities of service providers and on various agents in the system, on a sample basis, in order to examine the quality, efficiency and equity of service delivery on the frontline.
QSDS are often combined with Public Expenditure Tracking Surveys (PETS) in order to obtain a more complete picture of the efficiency and equity of a public allocation system, activities at the provider level, as well as various agents involved in the process of service delivery.
While most of PETS and QSDS have been conducted in the health and education sectors, a few have also covered other sectors, such as justice, Early Childhood Programs, water, agriculture, and rural roads.
In the past decade, about 40 PETS and QSDS have been implemented in about 30 countries. While a large majority of these surveys have been conducted in Africa, which currently accounts for 66 percent of the total number of studies, PETS/QSDS have been implemented in all six regions of the World Bank (East Asia and Pacific, Europe and Central Asia, Latin America and Caribbean, Middle East and North Africa, South Asia and Sub-Saharan Africa).
In the end of 1990s Indonesia had been experiencing a severe economic crisis. The Government of Indonesia, with the support of the Asian Development Bank and The World Bank, launched a "stay in school" media campaign, a program to provide block grants to schools to offset the shortfalls resulting from parents' lessened ability to pay fees, and a program to give scholarships to poor students to compensate the direct costs of schooling.
At the time of the launching of these programs, there was little quantitative information on the magnitude of the effect of the crisis on education and on whom the impact was the strongest. In an effort to gather such information and as part of a larger effort to monitor the impact of the crisis on social sectors, Ministry of Education and Culture and the World Bank undertook a survey of 599 primary and junior secondary schools in five provinces. The survey was fielded between October 5 and October 23, 1998, approximately two-and-a-half months after schools opened to take into account the extended registration period.
The primary purpose of the survey was to collect information on changes in patterns of enrollment, structure of fees, and to get an early assessment of the reach of the school block grant and scholarship programs.
This Indonesia Quantitative Service Delivery Survey 1998 is also known as Crisis Impact School Survey (CISS).
The second round of the survey was carried out in 2000 with the goal to continue study the impact of the crisis on primary and secondary schools in Indonesia.
Sample survey data [ssd]
Scope
| Topic | Vocabulary |
|---|---|
| Education | World Bank |
| Primary Education | World Bank |
| Secondary Education | World Bank |
Coverage
Five provinces: North Sumatra, DKI Jakarta, Central Java, South Sulawesi, and Maluku.
Producers and sponsors
| Name |
|---|
| World Bank |
| Ministry of Education and Culture, Indonesia |
| Name |
|---|
| World Bank |
| Ministry of Education and Culture, Indonesia |
Sampling
The sampling frame was selected to be schools in five provinces: North Sumatra, DKI Jakarta, Central Java, South Sulawesi, and Maluku. Within each province three districts, two rural (Kabupaten) and one urban (Kotamadya), were randomly selected with probability proportional to population size. In the case of Jakarta, three Kotamadya were selected. At the district level, four sub-districts (Kecamatan) were randomly selected with probability proportional to population size. A full enumeration of schools by type (SD, MI, SLTP, MTs) was done for these four sub-districts. SD (Sekolah Dasar) and SLTP (Sekolah Lanjutan Tingkat Pertama) are secular schools, MI (Madrasah Ibtidayah) and MTs (Madrasah Tsanawiyah) are religious schools. Each of these schools could be either public or private. For each group of four sub-districts, forty schools were randomly selected by type in proportion to their actual distribution in the four sub-districts. The resulting targeted sample consists of 40 schools per district, 120 per province, and 600 schools in total.
The sampled schools included approximately 136,000 students (94,000 primary and 42,000 junior secondary).
The actual sample consisted of 599 schools (instead of 600). In the carrying out of the survey, 6 schools were replaced with new selections because the selected schools had closed. One of these schools is in urban North Sumatra, one in rural Central Java, two in rural South Sulawesi, and two in urban South Sulawesi. In one case in Jakarta the data collector was unable to collect the required data.
Survey instrument
The primary purpose of the survey instrument was to collect information on changes in patterns of enrollment, changes in the structure of fees, and to get an early assessment of the reach of the school block grant and scholarship programs. More precisely, the number of students enrolled at each grade for the current and past four academic years was collected.
In addition, schools were asked directly about students who had dropped out in the past academic years and about absences (and especially long absences) in the current academic year. Various sections of the questionnaire covered aspects of school fees – particularly entrance fees, monthly fees, and exam fees.
Moreover schools were asked about the number of students who were receiving a scholarship (regardless of the source) and whether the respondents had ever heard of the block grant program.
Data collection
| Start | End |
|---|---|
| 1998-10 | 1998-10 |
Data Access
Public use file
Use of the survey data must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name)
- the full title of the survey and its acronym (when available), and the year(s) of implementation
- the survey reference number.
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 | |
|---|---|---|
| Hooman Dabidian | World Bank | hdabidian@worldbank.org |
| Cindy Audiguier | World Bank | caudiguier@worldbank.org |
Metadata production
DDI_IDN_1998_QSDS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| Antonina Redko | DECDG, World Bank | DDI documentation |
2011-09-23
Metadata version
v01 (September 2011)