STEP Skills Measurement Household Survey 2013 (Wave 2)
Georgia, 2013
Get MicrodataIdentification
| Name | Country code |
|---|---|
| Georgia | GEO |
These surveys are part of the STEP Household Surveys collection.
So far, two waves have been implemented in 12 countries. The third wave is under preparation.
The first wave started in September 2011 and was completed in December 2013. Wave 1 countries are: Bolivia, Colombia, Sri Lanka, Lao PDR, Vietnam, the Yunnan Province in China, Ghana, and Ukraine.
The second wave started in August 2012 and was completed in June 2014. Wave 2 countries are: Armenia, Georgia, Macedonia, and Kenya.
The uniquely-designed Household Survey includes modules that measure the cognitive skills (reading, writing and numeracy), socio-emotional skills (personality, behavior and preferences) and job-specific skills (subset of transversal skills with direct job relevance) of a representative sample of adults aged 15 to 64 living in urban areas, whether they work or not. The cognitive skills module also incorporates a direct assessment of reading literacy based on the Survey of Adults Skills instruments. Modules also gather information about family, health and language.
Version
Version 01 was published in June 2014, but now is replaced with v02.
The difference between v02 and v01 datasets:
- Changes made specifically to Georgia:
1) Labelling of 'yes' and 'no' responses was standardized to labelling in other countries (0 is no and 1 is yes)
2) The labelling of 'other' was also standardized to labelling in other countries (now 7 instead of 19 or 9)
- Changes made to all STEP countries:
1) The literacy variables had incorrect labelling, which has now been fixed
2) The 'emp' variable has been cleaned
3) The 'write_dif' variable has been corrected
4) All monetary variables (identifiable by '_usd') have been converted to PPP dollars
Scope
The scope of the study includes:
- household demographic characteristics
- dwelling characteristics
- education and training
- health
- employment
- job skill requirements
- personality, behavior and preferences
- language and family background
- reading literacy test assessment
Coverage
The capital and other urban areas.
The STEP target population are individuals 15-64 years old, living in urban areas.
In Georgia, the following groups were excluded:
- Residents of institutions (prisons, hospitals, etc.)
- Residents of senior homes and hospices
- Residents of other group dwellings (college dormitories, halfway homes, workers' quarters, etc.)
- Persons living outside the country at the time of data collection
- Persons living in the conflict regions Abkhazia and South Ossetia
Producers and sponsors
| Name |
|---|
| World Bank |
| Name | Affiliation | Role |
|---|---|---|
| Alexandria Valerio | World Bank |
STEP Co-Task Team Leader, Education Global Practice |
| Maria Laura Sanchez Puerta | World Bank |
STEP Co-Task Team Leader, Social Protection and Labor Global Practice |
| Tania Rajadel | World Bank Consultant, Project Coordinator |
Technical assistance in project management, data collection, data processing and data analysis |
| Gaelle Pierre | World Bank Consultant, Senior Labor Economist |
Technical assistance in project management, questionnaire design, and data analysis |
| Valerie Evans | World Bank Consultant, Survey Consultant |
Technical assistance in questionnaire design, sampling methodology, and data collection |
| Sebastian Monroy Taborda | World Bank Consultant, Research Analyst |
Technical assistance in data processing and data analysis |
| Name | Role |
|---|---|
| Multi-Donor Trust Fund Labor Markets, Job Creation and Economic Growth |
Funding |
| Bank Netherlands Partnership Program |
Funding |
| Name | Role |
|---|---|
| Educational Testing Services |
Designed the Reading Literacy Assessment Module and conducted the preliminary analysis of the reading literacy data, including generating plausible values for the Extended Assessment |
Sampling
Stratified 3-stage sample design was implemented in Georgia. The sample was stratified by five geographic areas: Capital, Other Urban Northeast, Other Urban Northwest, Other Urban Southeast, and Other Urban Southwest.
The primary sample unit (PSU) is an electoral precinct; each PSU is uniquely defined by the sample frame variable 'PrecinctID'. The first stage units were selected by a World Bank survey methodologist. The sampling objective was to select 225 PSUs, comprised of 200 initial PSUs and 25 reserve PSUs. Although 225 PSUs were selected, only 200 PSUs were activated; none of the 25 reserve PSUs was activated during data collection. The PSUs were selected using a systematic probability proportional to size (PPS) sampling method, where the measure of size was the estimated number of persons 15 to 64 years old (i.e., final data file variable 'estimatedsize') in a PSU.
The second stage sample unit (SSU) is a household. The sampling objective was to obtain interviews at 15 households within each selected PSU. The households were selected in each PSU using a systematic random method. For the 'Other Urban' strata, in order to provide sufficient sample to allow for a scenario of a 50% response rate the number of sampled cases was doubled in each selected 'Other Urban' electoral precinct. In other words, a reserve sample of 15 households per PSU was selected in each 'Other Urban' stratum. For the Capital stratum, the initial sample size was adjusted to allow for a possible expected response rate of 44%. In the case of the Capital stratum, a reserve sample of 19 households per PSU was selected. Also, during the survey fieldwork, there were 14 PSUs in the Capital stratum where, due to higher than expected non-response, the survey firm drew an additional 34 reserve households. The Precinct IDs for the 14 PSUs are: 2015, 2025, 2033, 2060, 2076, 3003, 3012, 3022, 3029, 3071, 3083, 4014, 5070, and 6106.
The third stage sample unit was an individual 15-64 years old (inclusive). The sampling objective was to select one individual with equal probability from each selected household.
An overall response rate of 62.6% was achieved in the Georgia STEP Survey. Table 18 in "STEP Weighting Procedures Summary" provides detailed percentage distribution by final status code.
While the 3-stage stratified sample design greatly enhanced the operational feasibility of data collection, it resulted in differential probabilities of selection for the selected persons. Consequently, each selected person in the survey does not necessarily represent the same number of persons in the target population. To account for differential probabilities of selection due to the nature of the design and to ensure accurate survey estimates, STEP requires a sampling weight for each person that participated in the survey.
The objectives of the STEP weighting are to construct a set of survey weights to compensate for unequal probabilities of selection, and to compensate for household-level non-response and person-level non-response.
Detailed information about weighting procedures is available in "STEP Weighting Procedures Summary", provided in external resources.
Survey instrument
The STEP survey instruments include:
- The background questionnaire developed by the World Bank (WB) STEP team
- Reading Literacy Assessment developed by Educational Testing Services (ETS).
All countries adapted and translated both instruments following the STEP technical standards: two independent translators adapted and translated the STEP background questionnaire and Reading Literacy Assessment, while reconciliation was carried out by a third translator.
The WB STEP team and ETS collaborated closely with the Georgian survey firm during the process and reviewed the adaptation and translation to Georgian using a back translation.
The survey instruments were piloted as part of the survey pre-test.
The background questionnaire covers such topics as respondents' demographic characteristics, dwelling characteristics, education and training, health, employment, job skill requirements, personality, behavior and preferences, language and family background.
The background questionnaire, the structure of the Reading Literacy Assessment and Reading Literacy Data Codebook are provided in the document "Georgia STEP Skills Measurement Survey Instruments", available in external resources.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2013-03-03 | 2013-05-14 | Fieldwork |
| Name |
|---|
| Georgia Caucasus Research Resource Center for Georgia |
Each interviewer team reports to a team supervisor. Interviewers must hand over to their supervisor properly filled questionnaires and reading exercise booklets (for Reading Literacy Assessment), and report all information about the fieldwork conducted.
Team supervisors are responsible for coordinating fieldwork, monitoring interviewers' work, documenting non-response, assigning reading exercise booklets and communicating regularly with a field manager. Also, once the household listing exercise is completed, the team supervisor randomly selects 15 households to be interviewed in the primary sampling unit (PSU), as well as reserve households that may be required to be activated (used) in the case of a non-response by one of the originally selected 15 households.
Field supervision details are outlined in "National Survey Design Planning Report" and "Interviewer's Manual and Team Supervisor's Manual", available in external resources.
Each component of the STEP Survey was carried out by a personal visit using a Paper-and-Pencil Interview (PAPI) method. Interviews lasted between 120 and 150 minutes, depending on respondents' reading proficiency.
As the STEP program requires all surveys to be implemented in a standardized way, particular attention was provided to implementation processes:
-
Each participating country (survey firm) presented National Survey Design Planning Report (NSDPR) detailing how it intended to implement the STEP survey while complying with the STEP Technical Standards. The NSDPRs were submitted to the WB STEP team for approval.
-
The World Bank (WB) STEP team and Educational Testing Services (ETS) conducted two workshops for all survey firms. The first was a 2-day workshop provided via video conference and aimed at presenting the STEP Technical Standards. The second workshop was organized over two full weeks at the World Bank Headquarters. During this course project managers from each survey firm received training on the survey instruments, implementation of the survey and data management procedures.
-
Based on the STEP Technical Standards, the survey firms adapted and translated the STEP survey instruments, the interviewer manual, and all training materials.
-
Once the instruments had been adapted and translated, survey firms carried out a pre-test, usually including 20-30 interviews. Findings from the pre-test were discussed with the WB STEP team and ETS to finalize the adaptation and translation of the STEP survey instruments. The survey was implemented in Georgian.
-
Each survey firm provided a 2-week training course to its enumerators, using training materials developed by the WB STEP team (after translation and adaptation). The WB STEP team's survey consultant helped organize the training and was present in the country for the first few days of the training. In addition, the WB STEP team in Washington DC provided just-in-time technical assistance, answering questions sent by the survey firm during the training. The training included in-field mock interviews in addition to in-class courses. At the end of the training, survey firms only retained enumerators having demonstrated a good understanding of the instruments.
-
As per STEP Technical Standards, data collection started within a few days of the end of the enumerators' training course. The composition of each country's fieldwork teams, reporting procedures and quality control processes are described in the NSDPR. Weekly reports were sent to the WB STEP team, which provided just-in-time technical assistance during fieldwork to answer questions or concerns. Regular calls or VCs were also held between survey firms and the WB STEP team to discuss progress. Matters discussed usually involved questions on how to deal with specific situations, strategies to reduce non-response, the activation of reserve households, and general pace of progress.
Data processing
STEP data management process:
- Raw data is sent by the survey firm
- The World Bank (WB) STEP team runs data checks on the background questionnaire data. Educational Testing Services (ETS) runs data checks on the Reading Literacy Assessment data. Comments and questions are sent back to the survey firm.
- The survey firm reviews comments and questions. When a data entry error is identified, the survey firm corrects the data.
- The WB STEP team and ETS check if the data files are clean. This might require additional iterations with the survey firm.
- Once the data has been checked and cleaned, the WB STEP team computes the weights. Weights are computed by the STEP team to ensure consistency across sampling methodologies.
- ETS scales the Reading Literacy Assessment data.
- The WB STEP team merges the background questionnaire data with the Reading Literacy Assessment data and computes derived variables.
Detailed information on data processing in STEP surveys is provided in "STEP Guidelines for Data Processing" document, available in external resources. The template do-file used by the STEP team to check raw background questionnaire data is provided as an external resource, too.
Access policy
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:
World Bank. Georgia STEP Skills Measurement Household Survey 2013 (Wave 2). Ref. GEO_2013_STEP-HH_v02_M. Dataset downloaded from [URL] on [date].
Depositor information
| Name |
|---|
| Myra Murad Khan |
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.
Metadata production
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | The World Bank |
Documentation of the study |
Metadata version
Changes in v02 of study documentation compared to v01 published in June 2014
- v01 datasets were replaced with v02
- Study Title, Series Information and Abstract were edited
Version 01 (June 2014)