Survey of Public Servants 2019
Guatemala, 2019
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GTM_2019_PESBR_v01_M
Survey of Public Servants 2019
| Name | Country code |
|---|---|
| Guatemala | GTM |
Administrative Records, Other (ad/oth]
The survey was one of three components of a World Bank project implemented to provide information on the size and composition of the civil service, improve systems and control mechanisms, institutional capacity, and provide information on policy-formulation and decision-making processes. Other components included a census of Guatemalan civil servants and contractors, and the continuous updating and use of this information to strengthen checks and improve transparency, and a new policy framework aimed at strengthening the institutional capacity of the Guatemalan civil service.
The aim of the survey was to assess the characteristics and quality of human resource management in the public administration, as well as to capture the attitudes, motivations, and experiences of public officials. In particular, the survey focused on the priority areas for reform identified by the Government of Guatemala and the World Bank. The data collected was used to support the World Bank’s diagnostic of key problem areas in the human resource management of the public administration in Guatemala. It was used to inform the design of institution-level interventions, as well as the new public policy framework.
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
Version 01: Anonymized and aggregated dataset for public distribution
Scope
The study covered the following topics:
- Demographic and work history information
- Management practices
- Performance evaluation
- perceptions about discrimination
- Human resources management practices
- Perceptions of the national office of the civil service
- Perception of acts of corruption
Coverage
The target population were civil servants across 18 institutions in Guatemala at the central, and their respective departmental and municipal branches.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Daniel Oliver Rogger | The World Bank |
Sampling
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%.
Survey instrument
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.
Data collection
| Start | End |
|---|---|
| 2019-10-01 | 2019-12-31 |
- Computer Assisted Personal Interview [capi]
Face-to-face interviewing using CAPI technology conducted my enumerators.
Data Access
The use of the datasets 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;
- the source and date of download (for datasets disseminated online).
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 | |
|---|---|---|
| Daniel Oliver Rogger | The World Bank | drogger@worldbank.org |
Metadata production
DDI_GTM_2019_PESBR_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | The World Bank | Documentation of the study |
2022-05-20
Metadata version
Version 01 (May 2022)