Time Use Survey 2009
Ghana, 2009
Identification
GHA_2009_TUS_v01_M
Time Use Survey 2009
| Name | Country code |
|---|---|
| Ghana | GHA |
Other Household Survey [hh/oth]
This is the first time this Time Use Survey has been implemented in Ghana
The main objective of the GTUS was to measure and analyze the time spent in a 24-hour period by different individuals aged 10 years and over - women, men, girls, and boys - on all activities including paid and unpaid work and leisure activities. solutions that address gender issues in macroeconomics and poverty reduction.
Sample survey data [ssd]
Household, individual
Version
v1.2 : Edited data, second version, for internal use only.
2009-07-09
This is the first time this Time Use Survey has been implemented in Ghana
Scope
Time use surveys record the activities done by different individuals from a representative selection of households, and the time spent on each activity. The time spent on an activity is measured in terms of the number of minutes or hours in a specified period, such as a 24-hour day. Eating, travelling (walking, driving or riding in a motor vehicle), unpaid child care (for example, supervising, feeding), working in a formal sector job (whether as employee or employer, in the public or private sector), doing unpaid 'economic' work (such as fetching water or collecting firewood, or working unpaid in the family business), and housework are typical examples of activities on which a person may spend time during the course of a day.
Coverage
National coverage
The survey covered all adult household members (usual residents) aged 15 years and older, and all chilrdren aged 3 years and above (usual residents) in the household.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Ghana Statistical Service | Government of Ghana |
| Name | Affiliation | Role |
|---|---|---|
| United Nations Economic Commissiom | UNITED NATION | Technical assistance in manual specific |
| Name | Role |
|---|---|
| Ghana Statistical Service | GSS was responsible for overseeing the day-to-day technical operations including recruitment and supervision of field and data processing staff as well as the supervision of the office and field operations |
| Government of Ghana | Financial and technical assistance |
| United Nations Economic Commissiom | Financial |
| Africa Development Bank | Financial |
| Name | Role |
|---|---|
| The late Nkansah Marfo Yentumi | Project Coordinator |
| Sampled households | Providing Information during Interview |
| Field Staff and Data Entry Personnel | Discharged their duties |
| All regional and district administrators, community leaders and traditional rulers | Diverse assistance |
Sampling
A representative sample of 4,800 households was drawn randomly from the list of Enumeration Areas (EAs) of the 2008 Ghana Demographic and Health Survey (GDHS), which served as a frame for the GTUS sample. In the selected households all individuals aged 10 years and older were interviewed. The sample frame was first stratified into the 10 administrative regions in the country, then into urban and rural EAs. GTUS used a two-stage stratified sample design. At the first stage of sampling, 300 EAs were selected. These are a sub-sample of the 412 EAs selected from the 2008 GDHS. The second stage involved selection of 16 households from the 2008 GDHS listing in each selected EA.
The Primary Sampling Unit (PSU) was the EA, while the Secondary Sampling Unit (SSU) was the household. In the selected households all individuals aged 10 years and older were interviewed for the 24-hour activity diary. The following factors were considered in the selection of EAs and households:
a) The regional population and average household size in the 2000 Population and Housing Census. The larger the average household size, the smaller the proportion of sampled households in the EA.
b) A confidence interval of 95% with an error margin of 0.025.
c) The number of EAs for each region in the 2008 GDHS.
d) Allowance for a non-response rate of 20 percent for households. The rationale here was to eliminate the need for substitution of unfound or non-responding households during the fieldwork. Giving the option of substituting households to supervisors would have led to a biased sample and therefore field officers were not allowed to substitute. Furthermore, the selection of households considered the average household size of the regions and hence aimed at achieving an adequate sample of individual respondents who were the observation units.
e) Increasing the number of selected households to compensate for the exclusion of the population under 10 years old in the households.
f) As variations in the variables to be studied in the GTUS are expected to be higher in rural areas, it was decided to draw a larger sample (77% of EAs in GDHS 2008) for these areas than for urban areas (67% of EAs in GDHS).
The regional samples of EAs selected from the 2008 GDHS EAs were done using SPSS syntax that applies a systematic simple random sampling procedure. However, the sampling weights were calculated on the basis of the population size of the EAs and their totals in the region. The households were also selected using a systematic simple random sampling procedure in Microsoft Excel© using the 2008 DHS listing information. A sampling interval and a random starting number were determined. The random starting number served as the first household to be selected. The remaining 15 households were selected by adding multiples of the sampling interval to the random starting number until the desired number was achieved.
The response rate for the 2009 GTUS was 99.5 percent at the household level and 86.5 percent at the individual level. As can be seen, the response rate at the individual level was higher in rural areas (87.2%) compared with urban areas (85.5%). It was also higher overall for females compared with males (88.1% against 84.8%). This can be explained by the fact that individuals are more likely to be absent from home in urban areas than in rural areas and females are more likely than males to be present in the household premises at the time of the interviewer's visit. It should also be noted that diary questionnaires that could not be linked to a fully completed household questionnaire have not been maintained in the sample for analyses.
Sample Weights
The 2009 GTUS sample was weighted to the 2009 national population of Ghana. The overall sampling weight was adjusted to suit the variation between the selected and responding sampling units as well as the 2000 census population projections for 2009.
The calculation of sampling weights takes into account the level of representation of sampling units. The survey observations are then adjusted accordingly.
The sampling weight Wij for jth EA in ith region is calculated as follows:
Wij = WGDHS (1/si) (Mi / mij)
where:
WGDHS is the weight of the EA in the 2008 GDHS.
si is the number of EAs selected from the ith region.
Mi is the total population of 2008 GDHS EAs in ith region.
mij is the population of jth EA in ith region during the 2008 GDHS.
The sampling weight Wjk for kth household in jth EA is calculated as follows:
Wjk = (Nij / 16)
where:
Nij is the number of listed households in jth EA of ith region during the 2008 GDHS.
The overall sampling weight Wijk for household k in EA j in Region i is the product of EA and household weight and is calculated as follows:
Wijk = (Wij * Wjk)
The overall sampling weight was adjusted due to the variation between the selected and responded sampling units as well as between the 2000 census population, the 2008 GDHS population and the 2009 GTUS population. The household adjustment factor was calculated by dividing the actual listed EA population by the estimated EA population from the survey.
The EA adjustment factor was calculated by dividing the estimated 2009 GTUS regional population by the 2008 GDHS regional population.
Survey instrument
There were two types of questionnaires that were used in the GTUS: Household Questionnaire and individual Questionnaire. The household questionnaire collected information about demographic and socio-economic characteristics of the members of the household such as age, sex, level of education, household expenditures, housing and living conditions of the households. The household questionnaire permitted the interviewer to identify the eligible household members (10 years and older) for the individual interviews. The individual diary was used to record information on the individual's (10 years and older) activities, and the duration and the location of these activities within one-hour slots for a day (24 hours). All eligible household members were asked about their activities in the 24 hours beginning at 4am on the previous day. Each individual questionnaire was linked to a household questionnaire.
The Teleform automated data capturing software was used to design the questionnaires. They were then printed and tested to ensure that all the variables in the questionnaires were in the database. English language was used in published the questionnaires
Data collection
| Start | End | Cycle |
|---|---|---|
| 2009-04-14 | 2009-04-17 | Pilot Survey Training |
| 2009-04-19 | 2009-04-25 | Pilot Survey Fieldwork |
| 2009-05-24 | 2009-05-29 | Main survey-Training |
| 2009-06-01 | 2009-08-03 | Main Survey data collection |
| Name |
|---|
| Ghana Statistical Service |
SUPERVISOR'S ROLE: Training is a continuous process. Observation and supervision throughout the fieldwork are a part of the training and data collection process. The team supervisor will play a very important role in continuing the training of his interviewers and has the primary responsibility in ensuring that quality data are collected for the GTUS. As a team leader the specific tasks include the following:-
- Spot check some of the addresses to be interviewed to ensure that interviewers interview correct households and correct respondents.
- Review each questionnaire to be sure it is complete and consistent.
- Observe some interviews to ensure that interviewers are asking the questions in the right manner and recording the answers correctly.
- Meet with interviewers on daily basis to discuss performance and give out future work assignments.
- Help resolve any problems that the interviewer must have including finding the assigned households, understanding the questionnaire and dealing with difficult respondents
- Responsible for coding of the occupations and activities.
- The supervisor will assign an interviewer to make the first contact with each of the households selected for the GTUS. Any capable adult member of the household is a suitable respondent for the household interview. If at least one eligible person is identified in the Household Questionnaire, the interviewer will go on to complete an Individual Diary Questionnaire.
The study used a 24-hour diary, divided into one hour slots, as the core instrument to record activities. In each slot, provision was made for a maximum of five activities to be recorded. The diary was administered face-to-face to the respondent by means of an interview. In addition to the diary, the questionnaire contained many questions common to standard household surveys. For analysis of the diary, the GTUS used the revised International Classification of Activities for Time Use Statistics (new ICATUS) developed by the United Nations Statistics Division, which has 15 main groups of activities.
60 days including travel, weekends and callbacks were allocated for fieldwork. 13 mobile teams, each made up of 4 interviewers and a supervisor, were expected to complete interviews within the time frame. Each interviewer completed an average of two households per day.
Data processing
Capturing of the data was automated through scanning to speed up data processing. A scanning technology called the Automated Teleform System was used to capture the data collected. This system combined Optical Mark Reader (OMR), Optical Character Reader (OCR) and Intelligent Character Recognition (ICR) for the processing. Before scanning, manual edits were performed on the questionnaires received from the field to check for completeness and accuracy of the questionnaires. After the scanning exercise, structural edits were done followed by consistency checks to further reduce errors.
Data were captured, cleaned and edited in Microsoft Access© format and transferred to SPSS. Further cleaning and imputations were done during analysis where the information was found to be inconsistent or incomplete. On the whole, scanning of the questionnaires, data cleaning and data validation were carried out from June 29 to July 31, 2009.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Govenment Statistician | Government of Ghana | http://www.statsghana.gov.gh/ContactUs.html | info@statsghana.gov.gh |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | Ghana Statistical Service (GSS) requires all users to keep information and microdata strictly confidential. In this regard, before being granted access to microdatasets, all users have to formally agree to observe the following: 1. Not to make copies of any files or portions of files to which access has been granted except with the authorization by GSS 2. Not to willfully identify any individual or household or establishment in the microdataset 3. To hold in strictest confidence, the identity of any individual or household or establishment that may be inadvertently revealed in any documents or discussion, or analysis. Such unintended identification revealed should be immediately brought to the attention of GSS. 4. Microdata obtained from GSS are protected by copyright law and therefore not for re-distribution or sale 5. Prospective clients or data users may be required to submit and sign an affidavit of confidentiality of microdata they access |
The Ghana Statistical Service as a public institution has the obligation to promote data dissemination to facilitate national development. Making mcrodata available will enable students and the academia to conduct research works, assist investors to take business decision, help the individual to evaluate and take appropriate decisions. It will also assist the government to formulate appropriate policies and programmes to facilitate national development. GSS' policy framework provides access to data through:
- Public use files. These categories of data sets are accessible by all without any payment. They are available on-line to all interested users, for research and statistical purposes only.
- Licensed datasets. These categories of data sets are accessible under certain conditions. Thus, prospective clients/data users may access any data based on certain conditions set by the GSS.
- Datasets only accessible on location. We consider this category as a data enclave where some data sets are only accessible at GSS offices and prospective data users and researches have to physically be available at GSS offices for further discussions before data are released. Thus, data enclave would not be linked to the outside world through our web site or other medium.
The following terms and conditions apply:
Before being granted access to the dataset, all users have to formally agree:
- To make no copies of any files or portions of files for which access has been granted, except those authorized by GSS.
- Not to use any technique in an attempt to identify any person, establishment, or sampling unit.
- To hold in strictest confidence, the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the GSS.
- The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of GSS.
- The data will be used for statistical and scientific research purposes only.
- The data will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
- No attempt will be made to identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the GSS.
- No attempt will be made to produce links among datasets provided by the GSS with other datasets that could identify individuals or organizations.
- Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the GSS would cite the source of data in accordance with the citation statement provided with the dataset
- An electronic copy of all reports and publications based on the requested data will be sent to the GSS.
"Ghana Statistical Service of Ghana,Ghana Time Use Survey 2009 (TUS 2009), public use dataset, provided by the National Data Archive. http://www.statghana.gov.gh/NADA"
Disclaimer and copyrights
The original collector of the data, GSS and any producers or sponsors cited in this document bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| AG. Government Statistician | Ghana Statistical Service | info@statsghana.gov.gh | http://www.statsghana.gov.gh/ContactUs.html |
| World Bank Microdata Library | microdata@worldbank.org |
Metadata production
DDI_GHA_2009_TUS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| Ghana Statistical Service | Lead documetning institution | |
| Accelerated Data Program | International Household Survey Network | Review of the metadata |
2012-07-09
Metadata version
Version 02 (October 2013). Edited version based on Version 01 (January 2013) DDI that was done by Ghana Statistical Service and reviewed by Accelerated Data Program, International Household Survey Network.