{"doc_desc":{"title":"NUHDSS-Household Amenities and Characteristics v1.2","idno":"APHRC-NUHDSS-HOUSEHOLD-AMENITIES-AND-LIVELIHOODS-1.2","producers":[{"name":"African Population & Health Research Center","abbreviation":"APHRC","affiliation":"","role":"Metadata Producer"}],"prod_date":"2011-03-24","version_statement":{"version":"Version 1.2, FEBRUARY 2017"}},"study_desc":{"title_statement":{"idno":"APHRC-NUHDSS-HOUSEHOLD-AMENITIES-AND-LIVELIHOODS-1.2","title":"NUHDSS-Household Amenities and characteristics Information for All Households 2002-2015","alt_title":"NUHDSS-HHA 2002-2015"},"authoring_entity":[{"name":"African Population and Health Research Center","affiliation":"APHRC"}],"oth_id":[{"name":"Residents of Korogocho and Viwandani Slums","affiliation":"","email":"","role":"Study Subjects"},{"name":"Community leaders - chiefs and village elders","affiliation":"","email":"","role":"Support to field teams"}],"production_statement":{"copyright":"Copyright \u00a9 APHRC, 2017","funding_agencies":[{"name":"Wellcome Trust","abbreviation":"","role":"Funder"},{"name":"Rockefeller Foundation (USA)","abbreviation":"","role":"Funder"},{"name":"William and Flora Hewlett Foundation (USA)","abbreviation":"","role":"Funder"},{"name":"Comic Relief (UK)","abbreviation":"","role":"Funder"},{"name":"Swedish International Development Cooperation","abbreviation":"SIDA","role":"Funder"},{"name":"The Bill and Melinda Gates Foundation (USA)","abbreviation":"","role":"Funder"}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"The household amenities and characteristics was first administered on 1st August 2002 as part of the Census form. From 2003 the module was seperated from the Census form and administered annually to all households."},"version_statement":{"version_date":"2015-12-31","version_notes":"Version 1.1, November 2014. Anonymized datasets with DOI and Recommended Citation added.\n\nVersion 1.2, February 2017.Datasets from 2002 to 2015"},"holdings":[{"text":"","location":"","callno":"","uri":"doi:10.20369\/aphrc-011:2003.1.01"}],"study_info":{"abstract":"Under the NUHDSS the households are visited in two informal settlements in Nairobi every four months to collect information on health and other related issues so that we can understand the health and well-being of members of these communities. Specifically, we would like to know a bit about the nature of amenities and facilities as well as the household income, expenditure and the coping strategies that households have in case of a problem.","coll_dates":[{"start":"2002-08-01","end":"2002-12-20","cycle":"Round 0 and Round 1"},{"start":"2003-01-13","end":"2003-12-19","cycle":"Round 2, Round 3 and Round 4"},{"start":"2004-01-12","end":"2004-12-22","cycle":"Round 5, Round 6 and Round 7"},{"start":"2005-01-10","end":"2005-11-18","cycle":"Round 8, Round 9 and Round 10"},{"start":"2006-01-09","end":"2006-12-22","cycle":"Round 11, Round 12 and Round 13"},{"start":"2007-01-08","end":"2007-12-21","cycle":"Round 14, Round 15 and Round 16"},{"start":"2008-01-07","end":"2008-12-19","cycle":"Round 17 and Round 18"},{"start":"2009-01-05","end":"2009-12-18","cycle":"Round 19, Round 20 and Round 21"},{"start":"2010-01-04","end":"2010-12-17","cycle":"Round 22, Round 23 and Round 24"},{"start":"2011-01-03","end":"2011-12-22","cycle":"Round 25, Round 26 and Round 27"},{"start":"2012-01-09","end":"2012-12-21","cycle":"Round 28, Round 29 and Round 30"},{"start":"2013-01-07","end":"2013-12-20","cycle":"Round 31 and Round 32"},{"start":"2014-01-06","end":"2014-12-19","cycle":"Round 33, Round 34 and Round 35"},{"start":"2015-01-05","end":"2015-12-21","cycle":"Round 37 and Round 38"}],"nation":[{"name":"KENYA","abbreviation":"KEN"}],"geog_coverage":"Two informal settlements (slums) in Nairobi county, Kenya (specifically, Korogocho and Viwandani slums).","analysis_unit":"All households","universe":"The survey covers all the households in the DSA","notes":"This includes the Background characteristics for the identification of the household, Respondents' characteristics, Household Living Arrangement and Duration of Stay, Household Amenities, Household Possessions, Household Income and Expenditure, Food Production and Consumption and Household Shocks Experienced","study_scope":"This includes the Background characteristics for the identification of the household, Respondents' characteristics, Household Living Arrangement and Duration of Stay, Household Amenities, Household Possessions, Household Income and Expenditure, Food Production and Consumption and Household Shocks Experienced"},"method":{"data_collection":{"sampling_procedure":"No sampling was done, all the households in the DSA were interviewed","coll_mode":"Face-to-face [f2f]","research_instrument":"1.Census questionnaire\n\n2.Household amenities and livelihoods\n\n3.Household characteristics form","act_min":"Interviewing teams in the two sites of study comprised of:\n\n     - Korogocho: 1 field supervisor, 2 editting team leaders, 1 data quality control team leader, 1 deaths' monitoring team leader, 2 data quality control officers, 12 interviewers\n\n     - Viwandani: 1 field supervisor, 2 editting team leaders, 1 data quality control team leader, 1 deaths' monitoring team leader, 3 data quality control officers, 17 interviewers\n\n\n\nThe roles of the various members of the interviewing teams were:\n\n     - Interviewer: Conducting face-to-face paper-based interviews(Round 0- Round 38) and using Netbooks (Round 39 onwards) in assigned zone within the study site\n\n     - Data Quality Control Officer: Performing random spot-checks on 10% of the questionnaires and reporting inconsistencies to the Data Quality Control Team Leader for harmonization\n\nwithin the study community\n\n     - Data Quality Control Team Leader: Harmonizing inconsistencies within questionnaires and performing a random spot-check on 10% of the 10% questionnaires that have already undergone spot-checking\n\n     - Editting Team Leader: Editting 100% of questionnaires from randomly selected field workers and documenting issues emerging during data collection\n\n     - Field supervisor: Responsible for overseeing general operations, resolving issues that cannot be harmonized by data quality control and ensuring that field work progressed on schedule.  They also conducted sit-in interviews along with Data Quality Control Team Leader\n\n\n\nThe Field Co-ordinator, Research Officer and\/or Project Managers visited the field and field teams regularly to monitor and review progress and support field operations.","cleaning_operations":"Data editing took place at a number of stages throughout the processing, including:\n\n1. Quality control through back-checks on 10 percent of completed questionnaires and editing of all completed questionnaires by supervisors and project management staff.\n\n2. A quality control officer performed internal consistency checks for all questionnaires and edited all paper questionnaires coming from the field before their submission for data entry with return of incorrectly filled questionnaires to the field for error-resolution.\n\n3. During data entry, any questionnaires that were found to be inconsistent were returned to the field for resolution.\n\n4. Data cleaning and editting was carried out using STATA Version 13 software.\n\n\n\n\n\nDetailed documentation of the editing of data can be found in the \"Standard Procedures Manual\" document provided as an external resource.\n\n \n\nSome corrections are made automatically by the program (80%) and  the rest by visual control of the questionnaire (20%). \n\n \n\nWhere changes are made by the program, a cold deck imputation is preferred;  where incorrect values are imputed using existing data from another dataset.  If cold deck is found to be insufficient, hot deck imputation is used.  In this case, a missing value is imputed from a randomly selected similar record in the same dataset.","method_notes":"Data were entered as follows:\n\n1. Typed based on paper questionnaires at APHRC's headquarters on desktop computers. Double data entry was carried out on 10% of the questionnaires (Round 0- Round 38).\n\n2. Using Netbooks (Round 39 onwards).\n\n\n\nIn both cases, data were captured using in-house software developed with a Visual Basic. Net front-end and a Microsoft Structured Query Language (SQL) Server back-end."}},"data_access":{"dataset_use":{"contact":[{"name":"Head, Data and Measurement Unit","affiliation":"","email":"datarequests@aphrc.org","uri":""}],"cit_req":"African Population and Health Research Center, Nairobi Urban Health and Demographic Surveillance System - Household Amenities and Livelihood Survey, February 2017. APHRC, Nairobi - Kenya. doi:10.20369\/aphrc-011:2003.1.01","deposit_req":"The user should submit electronic and paper copies of all publications generated using APHRC data to the Policy Engagement and Communications Department, with copies to the Director of Research.","conditions":"All non-APHRC staff seeking to use data generated at the Center must obtain written approval to use the data from the Director of Research. This form is developed to assess applications for data use and facilitate responsible sharing of data with external partners\/collaborators\/researchers. By entering into this agreement, the undersigned agrees to use these data only for the purpose for which they were obtained and to abide by the conditions outlined below:\n\n1. Data Ownership: The data remain the property of APHRC; any unauthorized reproduction and sharing of the data is strictly prohibited. The user will, therefore, not release nor permit others to use or release the data to any other person without the written authorization from the Center.\n\n2. Purpose: The provided data must be used for the purpose specified in the Data Request Form; any other use not specified in the form must receive additional or separate authorization.\n\n3. Respondent Identifiers: The Center is committed to protecting the identity of the respondents who provide information in its research. All analytical data sets (both qualitative and quantitative) released by the Data Unit MUST are stripped of respondent identifiers to protect the identity of the respondents. By accepting to use APHRC data, the user is pledging that he\/she will not, under any circumstance, regenerate the identifiers or permit others to use the data to learn the identity of any individual, household or community included in any data set.\n\n4. Confidentiality pledge: The user will not use nor permit others to use the data to report any information in the data sets that could identify, directly or by inference, individuals or households.\n\n5. Reporting of errors or inconsistencies: The user will promptly notify the Head of the Statistics and Survey Unit any errors discovered in the data as soon as the errors are discovered.\n\n6. Publications resulting from APHRC data: The Center requires external collaborators to work with APHRC staff on all publications resulting from its data. In order to facilitate this, lead authors should send a detailed concept note of the paper (including the background, rationale, data, analytical methods, and preliminary findings) to the Principle Investigator (or Theme Leader) for the project (with a copy to the Director of Research), who will circulate the abstract to concerned researchers for possible expression of interest in participating in the publication as co-authors. Any exception to the involvement of APHRC staff should be approved by the Director of Research, APHRC.\n\n7. Security: The user will take responsibility for the security of the data by ensuring that the data are used and stored in a secure environment where access is password protected. This will ensure that non-authorized people should not have access to the data.\n\n8. Loss of privilege to use data: In the event that APHRC determines that the data user is in violation of the conditions for using the data, or if the user wishes to cancel this agreement, the user will destroy the data files provided to him\/her. APHRC retains the right to revoke this agreement or informs publishers to withhold publication of any work based wholly or in part on its data if the conditions for using the data are violated.\n\n9. Acknowledgement: Any work\/reports from this data must acknowledge APHRC as the source of these data. For example, the suggested acknowledgement for NUHDSS data is: \n\n\"This research uses livelihoods data collected under the longitudinal Nairobi Urban Health and Demographic Surveillance System (NUHDSS) since 2006. The NUHDSS is carried out by the African Population and Health Research Center in two slums settlements (Korogocho and Viwandani) in Nairobi City.\"\n\nAdditionally all funders, the study communities that provided the data, and staff who collected and analyzed or processed the data should be acknowledged.\n\n10. Deposit of Reports\/Papers: The user should submit electronic and paper copies of all publications generated using APHRC data to the Policy Engagement and Communications Department, with copies to the Director of Research.\n\n11. Change of contact details: The user will promptly inform the Director of Research of any change in your personal details as contained on this data request form.","disclaimer":"The user of the data acknowledges that APHRC and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}}}