{"type":"survey","study_desc":{"title_statement":{"idno":"UGA_1995_IDHS_v01_M","title":"Negotiating Reproductive Outcomes Survey 1995-1996","alt_title":"IDHS\/NRO 1995-96"},"authoring_entity":[{"name":"Institute of Statistics and Applied Economics (ISAE)","affiliation":"Makerere University in Kampala, Uganda"},{"name":"Macro International Inc.","affiliation":"DHS Program"}],"production_statement":{"funding_agencies":[{"name":"United States Agency for International Development","abbreviation":"USAID","role":"Funded the survey"}]},"distribution_statement":{"contact":[{"name":"Information about The DHS Program","affiliation":"The DHS Program","email":"reports@DHSprogram.com","uri":"http:\/\/www.DHSprogram.com"},{"name":"General Inquiries","affiliation":"The DHS Program","email":"info@dhsprogram.com","uri":"http:\/\/www.DHSprogram.com"},{"name":"Data and Data Related Resources","affiliation":"The DHS Program","email":"archive@dhsprogram.com","uri":"http:\/\/www.DHSprogram.com"}]},"series_statement":{"series_name":"Demographic and Health Survey, Interim [hh\/dhs-int]"},"study_info":{"abstract":"The Negotiating Reproductive Outcomes (NRO) study was conducted in two districts in Uganda--Masaka and Lira. It was implemented jointly by the Demographic and Health Surveys (DHS) program of Macro International Inc. and the Institute of Statistics and Applied Economics (ISAE) at Makerere University in Kampala, Uganda. The study has two components, a focus group study and a survey of women and men. The survey population includes 1,750 women age 20-44 and 1,356 of their male partners, whether formally married or living together. The survey data are representative of the two districts and were designed to enable estimates to be made for urban and rural areas separately within each district.\n\nThe study has three primary objectives:\n- To examine how reproductive decisions and their outcomes are negotiated within sexual unions;\n- To determine which characteristics of the individual, household, and community influence the negotiation process; and\n- To investigate how the position of women influences their ability to negotiate the outcomes they desire.","coll_dates":[{"start":"1995-10","end":"1996-02","cycle":""}],"nation":[{"name":"Uganda","abbreviation":"UGA"}],"geog_coverage":"The survey covered two districts in Uganda - Lira and Masaka","analysis_unit":"- Household\n- Individual\n- Children age 0-5\n- Woman age 20-44\n- Man age 15-59","data_kind":"Sample survey data [ssd]","notes":"The 1995-96 Uganda Negotiating Reproductive Outcomes Survey covered the following topics:\n\nHOUSEHOLD\n\u2022 Identification\n\u2022 Usual members and visitors in the selected households\n\u2022 Background information on each person listed, such as relationship to head of the household, age, sex, and marital status\n\nINDIVIDUAL WOMAN\n\u2022 Respondent's background\n\u2022 Woman's work and financial resources\n\u2022 Marriage\n\u2022 Reproduction\n\u2022 Contraception\n\u2022 Fertility preferences\n\u2022 Sexual dynamics\n\u2022 AIDS and condom use\n\u2022 Partner information\n\u2022 Language information\n\nINDIVIDUAL MAN\n\u2022 Respondent's background\n\u2022 Work and financial resources\n\u2022 Marriage\n\u2022 Reproduction\n\u2022 Contraception\n\u2022 Fertility preferences\n\u2022 Sexual dynamics\n\u2022 AIDS and condom use\n\u2022 Identification of other interviewed wives\/partners\n\u2022 Language information","study_scope":"The 1995-96 Uganda Negotiating Reproductive Outcomes Survey covered the following topics:\n\nHOUSEHOLD\n\u2022 Identification\n\u2022 Usual members and visitors in the selected households\n\u2022 Background information on each person listed, such as relationship to head of the household, age, sex, and marital status\n\nINDIVIDUAL WOMAN\n\u2022 Respondent's background\n\u2022 Woman's work and financial resources\n\u2022 Marriage\n\u2022 Reproduction\n\u2022 Contraception\n\u2022 Fertility preferences\n\u2022 Sexual dynamics\n\u2022 AIDS and condom use\n\u2022 Partner information\n\u2022 Language information\n\nINDIVIDUAL MAN\n\u2022 Respondent's background\n\u2022 Work and financial resources\n\u2022 Marriage\n\u2022 Reproduction\n\u2022 Contraception\n\u2022 Fertility preferences\n\u2022 Sexual dynamics\n\u2022 AIDS and condom use\n\u2022 Identification of other interviewed wives\/partners\n\u2022 Language information"},"method":{"data_collection":{"sampling_procedure":"The NRO sample was designed to provide separate estimates for each district as well as for urban and rural areas within each district. Since both districts are predominantly rural, it was necessary to oversample urban areas to obtain sufficient number of urban respondents. When urban and rural samples are combined, weights are used to accommodate the oversampling of urban areas. In addition, the census definition of urban areas in Lira district was modified to improve its comparability with the definition used in Masaka and to avoid oversaturation of the one \"official\" urban area in Lira.\n\nThe sample was selected in two stages. In the first stage, census enumeration areas (EAs) were selected with probability proportional to size; in the second stage, households were systematically selected within each EA. Forty EAs were selected in each district, for a total of 80 EAs. Of these, 23 were EAs that had been enumerated for the 1995 Uganda Demographic and Health Survey (UDHS). These were chosen so that the household listings that had been prepared for the UDHS could be re-used by the NRO teams. In the remaining 57 EAs, the interview teams constructed a household listing through various means, most commonly by using the list kept by the local government official (RC1), and then selecting households systematically.\n\nNote: Appendix A of the final report provides a full description of the sample design.","coll_mode":"Face-to-face [f2f]","research_instrument":"Based on the results of the focus group study and on an examination of the relevant demographic and anthropological literature, three questionnaires were developed and used to collect the data:  household questionnaire, women's questionnaire, and men's questionnaire.","coll_situation":"Training of interviewers for the main survey started in September 1995 and lasted 10 days. Following the training period, six field teams were formed, each comprised of four interviewers (two male and two female) and one supervisor. In addition, a field coordinator was appointed for each district. The field coordinators served as the main liaisons between the field teams and the project office in Kampala. Three teams worked in each district. The fieldwork began in mid-October 1995 and ended in February 1996.","cleaning_operations":"Data entry began two weeks after the commencement of fieldwork. The survey data were entered on three microcomputers in the project office in Kampala. All data processing for the survey was done with ISSA (Integrated System for Survey Analysis). Initial editing and consistency checking of the questionnaires was performed in the field by the team supervisors. Some further coding and editing was carried out in the project office prior to data entry. The data entry program detects range, skip, and many consistency errors at the data entry stage. In addition, one hundred percent of the questionnaires were reentered for verification. Finally, secondary editing was performed using a program that carries out complex internal consistency checks and prints out a list of errors, which were then checked against the questionnaires and corrected where possible."},"analysis_info":{"response_rate":"A total of 3,869 households were selected for interview. Of these, 3,710 were found. The remainder were not valid households either because the dwelling was vacant or destroyed or because the household was absent for an extended period or could not be located. Approximately 97 percent of the contacted households (3,610 households) were successfully interviewed.\n\nThe household questionnaires identified 2,384 eligible women. Interviews with 485 of these women were terminated after the initial questions on marital status, however, because they did not meet the study criteria for marital status or long-term relationship. Interviews were completed with 1,750 women who were married, living together with a partner, or in a stable sexual relationship, for a response rate of 92 percent. Among the 1,750 women with complete interviews, there were 1,660 male partners who were eligible for interview. Of these, 1,356 were successfully interviewed, for a male partner response rate of 82 percent."}},"data_access":{"dataset_use":{"spec_perm":[{"txt":"","required":"no","form_no":"","uri":""}],"contact":[{"name":"The DHS Program","affiliation":"","email":"archive@dhsprogram.com","uri":"http:\/\/www.DHSprogram.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 country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download","conditions":"Request Dataset Access\nThe following applies to DHS, MIS, AIS and SPA survey datasets (Surveys, GPS, and HIV). \nTo request dataset access, you must first be a registered user of the website. You must then create a new research project request. The request must include a project title and a description of the analysis you propose to perform with the data. \n\nThe requested data should only be used for the purpose of the research or study. To request the same or different data for another purpose, a new research project request should be submitted. The DHS Program will normally review all data requests within 24 hours (Monday - Friday) and provide notification if access has been granted or additional project information is needed before access can be granted. \n\nDATASET ACCESS APPROVAL PROCESS\nAccess to DHS, MIS, AIS and SPA survey datasets (Surveys, HIV, and GPS) is requested and granted by country. This means that when approved, full access is granted to all unrestricted survey datasets for that country. Access to HIV and GIS datasets requires an online acknowledgment of the conditions of use.\n\nRequired Information\nA dataset request must include contact information, a research project title, and a description of the analysis you propose to perform with the data.\n\nRestricted Datasets\nA few datasets are restricted and these are noted. Access to restricted datasets is requested online as with other datasets. An additional consent form is required for some datasets, and the form will be emailed to you upon authorization of your account. For other restricted surveys, permission must be granted by the appropriate implementing organizations, before The DHS Program can grant access. You will be emailed the information for contacting the implementing organizations. A few restricted surveys are authorized directly within The DHS Program, upon receipt of an email request. \n\nWhen The DHS Program receives authorization from the appropriate organizations, the user will be contacted, and the datasets made available by secure FTP. \n\nGPS\/HIV Datasets\/Other Biomarkers\nBecause of the sensitive nature of GPS, HIV and other biomarkers datasets, permission to access these datasets requires that you accept a Terms of Use Statement. After selecting GPS\/HIV\/Other Biomarkers datasets, the user is presented with a consent form which should be signed electronically by entering the password for the user's account.\n\nDataset Terms of Use\nOnce downloaded, the datasets must not be passed on to other researchers without the written consent of The DHS Program. All reports and publications based on the requested data must be sent to The DHS Program Data Archive in a Portable Document Format (pdf) or a printed hard copy. \n\nDownload Datasets\nDatasets are made available for download by survey. You will be presented with a list of surveys for which you have been granted dataset access. After selecting a survey, a list of all available datasets for that survey will be displayed, including all survey, GPS, and HIV data files. However, only data types for which you have been granted access will be accessible. To download, simply click on the files that you wish to download and a \"File Download\" prompt will guide you through the remaining steps.","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":"HSEC01","description":"HOUSEHOLD\n- Household identification","case_count":"3869","var_count":"20","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"HSEC02","description":"HOUSEHOLD\n- Household schedule","case_count":"16622","var_count":"11","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F3","file_name":"HSEC03","description":"HOUSEHOLD\n- Non-resident 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