{"type":"survey","study_desc":{"title_statement":{"idno":"GHA_1998_DHS_v01_M","title":"Demographic and Health Survey 1998","alt_title":"DHS 1998"},"authoring_entity":[{"name":"Ghana Statistical Service (GSS)","affiliation":""}],"production_statement":{"producers":[{"name":"Macro International Inc.","affiliation":"","role":"Technical support"}],"funding_agencies":[{"name":"United States Agency for International Development","abbreviation":"USAID","role":"Financial assistance"}]},"distribution_statement":{"contact":[{"name":"General Inquiries","affiliation":"","email":"info@measuredhs.com","uri":"www.measuredhs.com"},{"name":"Data and Data Related Resources","affiliation":"","email":"archive@measuredhs.com","uri":"www.measuredhs.com"}]},"series_statement":{"series_name":"Demographic and Health Survey (standard) - DHS IV","series_info":"The 1998 Ghana Demographic and Health Survey is the third survey of this type conducted in Ghana."},"study_info":{"abstract":"The 1998 Ghana Demographic and Health Survey (GDHS) is the latest in a series of national-level population and health surveys conducted in Ghana and it is part of the worldwide MEASURE DHS+ Project, designed to collect data on fertility, family planning, and maternal and child health.\n\nThe primary objective of the 1998 GDHS is to provide current and reliable data on fertility and family planning behaviour, child mortality, children\u2019s nutritional status, and the utilisation of maternal and child health services in Ghana. Additional data on knowledge of HIV\/AIDS are also provided. This information is essential for informed policy decisions, planning and monitoring and evaluation of programmes at both the national and local government levels.\n\nThe long-term objectives of the survey include strengthening the technical capacity of the Ghana Statistical Service (GSS) to plan, conduct, process, and analyse the results of complex national sample surveys. Moreover, the 1998 GDHS provides comparable data for long-term trend analyses within Ghana, since it is the third in a series of demographic and health surveys implemented by the same organisation, using similar data collection procedures. The GDHS also contributes to the ever-growing international database on demographic and health-related variables.","coll_dates":[{"start":"1998-11","end":"1999-02","cycle":""}],"nation":[{"name":"Ghana","abbreviation":"GHA"}],"geog_coverage":"National","analysis_unit":"- Household\n- Children under five years\n- Women age 15-49\n- Men age 15-59","data_kind":"Sample survey data","notes":"The 1998 Ghana Demographic and Health Survey covers the following topics:\n- Anthropometry\n- Full Pregnancy History\u2013All surveys with the calendar and surveys that use DHS+ core questionnaire include a five-year calendar. Purpose to calculate abortion rates and neonatal rates if the calendar is not available.\n- GPS\/Georeferenced\u2013Global Positioning System or Georeferenced Data\n- HIV Behavior\n- HIV Knowledge\u2013Questions assess knowledge\/sources of knowledge\/ways to avoid HIV\n- Men's Survey","study_scope":"The 1998 Ghana Demographic and Health Survey covers the following topics:\n- Anthropometry\n- Full Pregnancy History\u2013All surveys with the calendar and surveys that use DHS+ core questionnaire include a five-year calendar. Purpose to calculate abortion rates and neonatal rates if the calendar is not available.\n- GPS\/Georeferenced\u2013Global Positioning System or Georeferenced Data\n- HIV Behavior\n- HIV Knowledge\u2013Questions assess knowledge\/sources of knowledge\/ways to avoid HIV\n- Men's Survey"},"method":{"data_collection":{"sampling_procedure":"The major focus of the 1998 GDHS was to provide updated estimates of important population and health indicators including fertility and mortality rates for the country as a whole and for urban and rural areas separately. In addition, the sample was designed to provide estimates of key variables for the ten regions in the country.\n\nThe list of Enumeration Areas (EAs) with population and household information from the 1984 Population Census was used as the sampling frame for the survey. The 1998 GDHS is based on a two-stage stratified nationally representative sample of households. At the first stage of sampling, 400 EAs were selected using systematic sampling with probability proportional to size (PPS-Method). The selected EAs comprised 138 in the urban areas and 262 in the rural areas. A complete household listing operation was then carried out in all the selected EAs to provide a sampling frame for the second stage selection of households. At the second stage of sampling, a systematic sample of 15 households per EA was selected in all regions, except in the Northern, Upper West and Upper East Regions. In order to obtain adequate numbers of households to provide reliable estimates of key demographic and health variables in these three regions, the number of households in each selected EA in the Northern, Upper West and Upper East regions was increased to 20. The sample was weighted to adjust for over sampling in the three northern regions (Northern, Upper East and Upper West), in relation to the other regions. Sample weights were used to compensate for the unequal probability of selection between geographically defined strata.\n\nThe survey was designed to obtain completed interviews of 4,500 women age 15-49. In addition, all males age 15-59 in every third selected household were interviewed, to obtain a target of 1,500 men. In order to take cognisance of non-response, a total of 6,375 households nation-wide were selected.\n\nNote: See detailed description of sample design in APPENDIX A of the survey report.","coll_mode":"Face-to-face","research_instrument":"Three types of questionnaires were used in the GDHS: the Household Questionnaire, the Women\u2019s Questionnaire, and the Men\u2019s Questionnaire. These questionnaires were based on model survey instruments developed for the international MEASURE DHS+ programme and were designed to provide information needed by health and family planning programme managers and policy makers. The questionnaires were adapted to the situation in Ghana and a number of questions pertaining to on-going health and family planning programmes were added. These questionnaires were developed in English and translated into five major local languages (Akan, Ga, Ewe, Hausa, and Dagbani).\n\nThe Household Questionnaire was used to enumerate all usual members and visitors in a selected household and to collect information on the socio-economic status of the household. The first part of the Household Questionnaire collected information on the relationship to the household head, residence, sex, age, marital status, and education of each usual resident or visitor. This information was used to identify women and men who were eligible for the individual interview. For this purpose, all women age 15-49, and all men age 15-59 in every third household, whether usual residents of a selected household or visitors who slept in a selected household the night before the interview, were deemed eligible and interviewed. The Household Questionnaire also provides basic demographic data for Ghanaian households. The second part of the Household Questionnaire contained questions on the dwelling unit, such as the number of rooms, the flooring material, the source of water and the type of toilet facilities, and on the ownership of a variety of consumer goods.\n\nThe Women\u2019s Questionnaire was used to collect information on the following topics: respondent\u2019s background characteristics, reproductive history, contraceptive knowledge and use, antenatal, delivery and postnatal care, infant feeding practices, child immunisation and health, marriage, fertility preferences and attitudes about family planning, husband\u2019s background characteristics, women\u2019s work, knowledge of HIV\/AIDS and STDs, as well as anthropometric measurements of children and mothers.\n\nThe Men\u2019s Questionnaire collected information on respondent\u2019s background characteristics, reproduction, contraceptive knowledge and use, marriage, fertility preferences and attitudes about family planning, as well as knowledge of HIV\/AIDS and STDs.","coll_situation":"Prior to the main survey, 10 listing teams, each consisting of 1 supervisor, 1 geographical assistant, 3 listers and a driver were recruited and trained for about 10 days in July 1998. Household listing began in August and lasted for about two months. Spot checks were conducted while the listers were in the field to ensure that the work was being done correctly and completely. In some cases, listers were sent back to relist areas where households had been missed or wrongly listed.\n\nA pretest of the Household, Women\u2019s and Men\u2019s Questionnaires was conducted in September 1998 in all five main local languages and in both urban and rural areas. The pretest was conducted by staff of the GSS following three weeks of training. The questionnaires were finalised based on the outcome of the pretest.\n\nThe GDHS data were collected by 14 teams, each consisted of a team supervisor (13 of the 14 supervisors were male), one male or female field editor, three interviewers, either male or female, and a driver, who was male. The field staff were trained during a three-week period in October\/November 1998. This included two days of training in anthropometric measurement. The main fieldwork began in mid-November 1998 and lasted until mid-February 1999. All call backs and reinterviews were completed by the end of February 1999.\n\nThe completed questionnaires were returned to the Ghana Statistical Service head office in Accra for data processing. The office editing staff first checked that questionnaires for all selected households and eligible respondents had been received from the field. In addition, the few questions which had not been precoded (e.g., occupation, contraceptive brand) were coded at this time. The data were then entered and edited using microcomputers and the Integrated System for Survey Analysis (ISSA) programme developed for DHS surveys. Office editing and data processing activities were initiated immediately after the beginning of fieldwork and were completed in mid-March 1999."},"analysis_info":{"response_rate":"A total of 6,375 households were selected for the GDHS sample. Of these, 6,055 were occupied. Interviews were completed for 6,003 households, which represent 99 percent of the occupied households. A total of 4,970 eligible women from these households and 1,596 eligible men from every third household were identified for the individual interviews. Interviews were successfully completed for 4,843 women or 97 percent and 1,546 men or 97 percent. The principal reason for nonresponse among individual women and men was the failure of interviewers to find them at home despite repeated callbacks.\n\nNote: See summarized response rates by place of residence in Table 1.1 of the survey report.","sampling_error_estimates":"The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors, and (2) sampling errors. Nonsampling errors are the results of shortfalls made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 1998 GDHS to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.\n\nSampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 1998 GDHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.\n\nA sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design.\n\nIf the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 1998 GDHS sample is the result of a two-stage stratified design, and, consequently, it was necessary to use more complex formulae. The computer software used to calculate sampling errors for the 1998 GDHS is the ISSA Sampling Error Module. This module uses the Taylor linearization method of variance estimation for survey estimates that are means or proportions. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.","data_appraisal":"Data Quality Tables\n- Household age distribution\n- Age distribution of eligible and interviewed women\n- Age distribution of eligible and interviewed men\n- Completeness of reporting\n- Births by calendar years\n- Reporting of age at death in days\n- Reporting of age at death in months\n\nNote: See detailed tables in APPENDIX C of the survey report."}},"data_access":{"dataset_use":{"contact":[{"name":"MEASURE DHS","affiliation":"","email":"archive@measuredhs.com","uri":"www.measuredhs.com"}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including acronym and year of implementation)\n- the survey reference number\n- the source and date of download of the data files (for datasets obtained on-line)","disclaimer":"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."}}},"data_files":[{"file_id":"F1","file_name":"RECH0","description":"HOUSEHOLD\n- Household's Basic Data","case_count":"6375","var_count":"34","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"RECH1","description":"HOUSEHOLD\n- Household Schedule","case_count":"22652","var_count":"20","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F3","file_name":"RECH2","description":"HOUSEHOLD\n- Household Characteristics","case_count":"6003","var_count":"23","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F4","file_name":"RECH3","description":"HOUSEHOLD\n- Country-specific 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