GTM_2019_PESBR_v01_M
Survey of Public Servants 2019
Name | Country code |
---|---|
Guatemala | GTM |
Administrative Records, Other (ad/oth]
Aggregate data [agg]
Public servants (managers and non-managers) across 18 institutions in Guatemala at the central, and their respective departmental and municipal branches.
Version 01: Anonymized and aggregated dataset for public distribution
The study covered the following topics:
The target population were civil servants across 18 institutions in Guatemala at the central, and their respective departmental and municipal branches.
Name | Affiliation |
---|---|
Daniel Oliver Rogger | The World Bank |
The sample frame used comes from the frame used for the Human Resources National Census. It has the list of positions in all the units of the 18 institutions selected for this study. The sample size for the managerial level was calculated with a 95% confidence level and a 5% margin error for each institution. For the non-managers, it was calculated with the same confidence level and margin error. The sample sizes are adjusted so the sample would have an even number for each study domain for the experiment which will assign a different questionnaire to half of the respondents.
Response rate was 96%.
The survey questionnaire comprises following modules: 1- Pre-interview questions, 2- Demographic and work history information, 3- Management practices, 4- Performance evaluation, 5- perceptions about discrimination, 6- Human resources management practices, 7- Perceptions of the national office of the civil service, 8- Perception of acts of corruption, and 9- Review of surveys.
The questionnaire was prepared in English and Spanish.
Start | End |
---|---|
2019-10-01 | 2019-12-31 |
Face-to-face interviewing using CAPI technology conducted my enumerators.
The use of the datasets must be acknowledged using a citation which would include:
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 | |
---|---|---|
Daniel Oliver Rogger | The World Bank | drogger@worldbank.org |
DDI_GTM_2019_PESBR_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Data Group | The World Bank | Documentation of the study |
2022-05-20
Version 01 (May 2022)
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