| Name | Country code |
|---|---|
| Cambodia | KHM |
The scope of the study includes:
| Topic | Vocabulary |
|---|---|
| Primary Education | World Bank |
| Financial Management | World Bank |
7 provinces (Banteay Meanchey, Kampong Cham, Kampong Chhnang, Kampot, Kratie, Prey Veng and Sihanoukville).
| Name |
|---|
| World Bank |
| Cambodia Development Resource Institute (CDRI) |
Initial sample of 220 primary schools was randomly drawn from 12 provinces and 34 districts. The final sample included 200 schools in 7 provinces since some schools could not be accessed and a replacement could not be found.
Stratified random sample based on the 2002-2003 school census was used. Each province was weighted according to size (number of schools). Five early (receiving funding from 2000 and onwards) and seven late (receiving funding from 2001 and onwards) provinces were randomly chosen from the population of 24 provinces. Each of the 12 selected provinces (Banteay Meanchey, Battambang, Kampong Cham, Kampong Chhnang, Kampong Speu, Kampong Thom, Kampot, Phnom Penh, Ratanak Kiri, Siemreap, Svay Rieng, and Takeo) was then allotted a number of schools based on the proportion of schools in the province to the total number of schools in the selected sample of 12 provinces. To make the survey effort feasible, it was decided that 2 or 3 districts would be picked from each province (the final number depending on the total number of districts in the province). Similar to the draw of provinces, each district was weighted according to size (number of schools). Thereafter, 2 or 3 districts were randomly chosen from the population of districts within each province, yielding a total of 34 districts to be included in the final sample.
The second stage of the sampling was based on the Cambodian 2003-2004 household surveys (HSES). The HSES sampling frame consisted of 900 villages and 15,000 households. The sampling design involved stratification of the country into five geographical regions (Phnom Penh, Plain, Tonle Sap, Coastal, and Plateau and Mountain), dividing up each region into separate urban and rural strata. From each stratum, 4 independent sub-samples of villages were drawn, with the sample being allocated over the strata proportionately to the total number of households in the strata.
At the school level, questionnaires were administered to each school director. One teacher per grade was randomly selected from each school to interview. Three School Support Committee (SSC) members from each school and 6 parents per school were also randomly chosen to participate in the study.
The following survey instruments are available:
The core of the questionnaires for provincial treasuries, provincial education offices, district education offices and school directors focuses on resource flows (i.e., resources received from an upper tier of government and resources transferred to a lower tier of government), which allowed for some triangulation or cross checking of the data. The questionnaire for school directors also contained a variety of information on schools, teachers and students.
The teacher, School Support Committee (SSC) and parental questionnaires were designed to collect information on the degree of knowledge of and involvement in school matters (particularly PAP flows and use).
In addition, 20 Grade 4 students and 20 Grade 6 students were tested in numeracy and literacy skills; background socio-economic information was also collected from them.
| Start | End |
|---|---|
| 2004 | 2004 |
| Name |
|---|
| Cambodia Development Resource Institute (CDRI) |
Detailed information about data editing procedures is available in "Data Cleaning Guide for PETS/QSDS Surveys" in external resources.
STATA cleaning do-files and data quality reports on all ten datasets can also be found in external resources.
Public use files
The use of this dataset must be acknowledged using a citation which would include:
Example:
World Bank and Cambodia Development Resource Institute (CDRI). Cambodia Public Expenditure Tracking Survey in Primary Education (PETS) 2004. Ref. KHM_2004_PETS_v01_M. Dataset downloaded from
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 | |
|---|---|---|
| Hooman Dabidian | World Bank | hdabidian@worldbank.org |
| Cindy Audiguier | World Bank | caudiguier@worldbank.org |
| Name | Affiliation | Role |
|---|---|---|
| Antonina Redko | DECDG, World Bank |
DDI documentation |
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.