{"doc_desc":{"title":"UPHD - MIGRATION v1.1","idno":"APHRC-UPHD-MIGRATIONS-2006-1.4","producers":[{"name":"African Population & Health Research Center","abbreviation":"APHRC","affiliation":"APHRC","role":"Metadata Producer"}],"prod_date":"2011-07-28","version_statement":{"version":"Version 1.4"}},"study_desc":{"title_statement":{"idno":"APHRC-UPHD-MIGRATIONS-2006-1.4","title":"UPHD - Migration and Employment History for Pre-Selected Individuals Aged 12 and plus","alt_title":"UPHD - MIGRATIONS","translated_title":"ENGLISH"},"authoring_entity":[{"name":"African Population & Health Research Center","affiliation":"APHRC"}],"oth_id":[{"name":"Residents of Korogocho and Viwandani Slums","affiliation":"Korogocho and Viwandani","email":"","role":"Study Subjects"}],"production_statement":{"producers":[{"name":"Eliya Zulu, PhD","affiliation":"","role":"Principal Investigator"},{"name":"Nyovani Madise, PhD","affiliation":"","role":"Co-Investigator"},{"name":"Alex Ezeh, PhD","affiliation":"","role":"Co-Investigator"},{"name":"John Cleland, PhD","affiliation":"","role":"Co-Investigator"},{"name":"Jane Falkingham, PhD","affiliation":"","role":"Co-Investigator"},{"name":"Jean-Christophe Fotso, PhD","affiliation":"","role":"Co-Investigator"},{"name":"Zewdu Woubalem, PhD","affiliation":"","role":"Co-Investigator"}],"copyright":"(c) 2011, African Population & Health Research Center (APHRC)","prod_date":"2011-03-24","funding_agencies":[{"name":"Wellcome Trust","abbreviation":"","role":"Funder"}],"grant_no":"GR 07830M"},"distribution_statement":{"contact":[{"name":"Director of Research","affiliation":"African Population & Health Research Center","email":"datarequests@aphrc.org","uri":"www.aphrc.org"}],"depositor":[{"name":"","abbreviation":"","affiliation":""}]},"series_statement":{"series_name":"Migration & Employment History Survey"},"version_statement":{"version_date":"2011-07-28","version_notes":"v1.0: Edited, anonymous dataset for Data Documentation Working Group\n\nv1.1: Edited, anonymous dataset for Researcher Review\n\nv1.2: Edited, anonymous dataset incorporating the Researchers' Comments and changing variable names to the corresponding question number\n\nv1.3: Edited, anonymous dataset with data-sharing links moved from Technical Documents to Access Policy\n\n\n\nVersion 1.4, November 2014. Anonymized with DOI and Recommended Citation added."},"holdings":[{"text":"","location":"","callno":"","uri":"doi:11239\/176-2006-011-1.4"}],"study_info":{"keywords":[{"keyword":"MIGRATION","vocab":"","uri":""}],"abstract":"The Migration and Employment History Survey was part of the 5 themes of the Urbanization, Poverty and Health Dynamics I (UPHD I) Project in Sub-Saharan Africa. The UPHD I project was designed and implemented by APHRC. The Migration and Employment History Survey was designed to investigate patterns and reasons for migration among residents in Nairobi's informal settlements, the linkages between migration, livelihood conditions, and health status.\n\n\n\nThis theme investigated patterns and reasons for migration, the linkages between migration, livelihood conditions, and health status  among pre-selected individuals aged 12+ from 2006 to 2010 in Nairobi's informal settlements.\n\n \n\nThe specific objectives were to:\n\n\n\n1.1 Determine the characteristics of in- and out-migrants, their migration histories, reasons for migrating, and nature of links with origin communities;\n\n1.2 Investigate how changing poverty and health circumstances influence and are influenced by intra-urban and urban-rural migrations;\n\n1.3 Assess the motivations for migration (e.g. health-related reasons) and how this has an influence on estimates of mortality and fertility levels in informal settlements;\n\n1.4 Validate the relevance of various measures of poverty in informal urban settlements.","coll_dates":[{"start":"2006-09-15","end":"2010-05-23","cycle":""}],"nation":[{"name":"KENYA","abbreviation":"KEN"}],"geog_coverage":"Two informal settlements, Korogocho and Viwandani, in Nairobi City (the capital city) of Kenya.","analysis_unit":"The unit of analysis is the individual","universe":"The survey covered all de jure household members (usual residents), aged 12 and above in the household","data_kind":"Sample survey data [ssd]","notes":"The scope of the Migration and Employment History Survey includes:\n\n- INDIVIDUALS: Background characteristics, Respondents' characteristics, Migration and Livelihood Calendar, Timing of current and 1st migration to Nairobi, and Individual Income-Generating Activities","study_scope":"The scope of the Migration and Employment History Survey includes:\n\n- INDIVIDUALS: Background characteristics, Respondents' characteristics, Migration and Livelihood Calendar, Timing of current and 1st migration to Nairobi, and Individual Income-Generating Activities"},"method":{"data_collection":{"data_collectors":[{"name":"African Population & Health Research Center","abbreviation":"APHRC","affiliation":""}],"sampling_procedure":"Information were collected from a random panel sample of close to 8,200 households from the two sites (5,200 in Viwandani and 3,000 in Korogocho).  These households would yield about 6400 and 9000 people aged at least 12 years in Korogocho and Viwandani, respectively.","coll_mode":"Face-to-face [f2f]","research_instrument":"The questionnaire used was one structured questionnaire, Migration and Employment History Form.  It includes: Background characteristics, Respondents' characteristics, Migration and Livelihood Calendar, Timing of current and 1st migration to Nairobi, and Individual Income-Generating Activities.\n\n\n\nAll questionnaires are provided as external resources.","coll_situation":"Data collection was paper-based.","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, 2 data quality control officers, 12 interviewers\n\n     - Viwandani: 1 field supervisor, 2 editting team leaders, 1 data quality control 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 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\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\n\n     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.","weight":"Sample weights were not used.","cleaning_operations":"Data editing took place at a number of stages throughout the processing, including:\n\na) Office editing and coding\n\nb) During data entry\n\nc) Structure checking and completeness\n\nd) Secondary editing\n\ne) Structural checking of STATA data files\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 entry was performed manually at APHRC's headquarters on desktop computers and was done using an in-house built system with a Visual Basic.Net front-end and a Microsoft SQL Server back-end.  Double data entry was carried out on 10% of the questionnaires. \n\n\n\nData were processed in clusters, with each cluster being processed as a complete unit through each stage of data processing.  Each cluster goes through the following steps:\n\n1) Questionnaire reception\n\n2) Office editing and coding\n\n3) Data entry\n\n4) Structure and completeness checking\n\n5) Verification entry\n\n6) Comparison of verification data\n\n7) Back up of raw data\n\n8) Secondary editing\n\n9) Edited data back up\n\n\n\nAfter all clusters are processed, all data is concatenated together and then the following steps are completed for all data files:\n\n10) Export to STATA 10 in 2 files (migration & employment history, migration & employment calendar)\n\n11) Recoding of variables needed for analysis\n\n13) Structural checking of STATA 10 files\n\n14) Data quality tabulations\n\n15) Production of analysis tabulations\n\n \n\nDetails of each of these steps can be found in the Standard Procedures Manual."},"analysis_info":{"sampling_error_estimates":"No estimation of sampling error was done.","data_appraisal":"This is accomplished in the following ways:\n\n     - Comparison of our indicators to other indicators, e.g. DHS\n\n     - Comparing trends from one survey year to the next"}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"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.  This statement does not replace a more comprehensive data agreement (see External Resources)","required":"yes","form_no":"","uri":""}],"contact":[{"name":"African Population & Health Research Center","affiliation":"APHRC","email":"info@aphrc.org","uri":"www.aphrc.org"}],"cit_req":"African Population and Health Research Center,  Urbanization, Poverty and Health Dynamics - Migration and Employment History Survey, July 2011. APHRC, Nairobi - Kenya. doi:11239\/176-2006-011-1.4","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.\tData 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.\tPurpose: 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.\tRespondent 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.\tConfidentiality 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.\tReporting 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.\tPublications 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.\tSecurity: 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.\tLoss 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.\tAcknowledgement: 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\u201cThis 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.\u201d\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.\tDeposit 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.\tChange 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."}}}}