{"type":"survey","doc_desc":{"title":"KEN_1992_WMS-I_v01_M","idno":"DDI_KEN_1992_WMS-I_v01_M","producers":[{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"}],"prod_date":"2013-10-15","version_statement":{"version":"Version 01 (October 2013)\nAdapted from KEN-KNBS-WMS1-1992-V01. Study reference changed to comply with World Bank referencing system, and additions made to Weighting, Questionnaire and 'Notes on Data Collection' fields using available technical documentation."}},"study_desc":{"title_statement":{"idno":"KEN_1992_WMS-I_v01_M","title":"Welfare Monitoring Survey 1992","sub_title":"First Round","alt_title":"WMS-I"},"authoring_entity":[{"name":"Kenya National Bureau of Statistics","affiliation":""}],"production_statement":{"copyright":"(c) 2005 Kenya National Bureau of Statistics","funding_agencies":[{"name":"World Bank","abbreviation":"","role":"Funding"}]},"distribution_statement":{"contact":[{"name":"Head, Data Processing Division","affiliation":"KNBS","email":"datarequest@knbs.or.ke","uri":"http:\/\/statistics.knbs.or.ke\/nada\/index.php\/catalog"},{"name":"Microdata Library","affiliation":"World Bank","email":"microdatalib@worldbank.org","uri":""}]},"series_statement":{"series_name":"Core Welfare Indicators Questionnaire [hh\/cwiq]","series_info":"Welfare Monitoring Survey 1992, Round 1 (WMS1) is the first round of WMS surveys."},"version_statement":{"version":"V1.2","version_date":"2008-12-08"},"study_info":{"coll_dates":[{"start":"1992","end":"","cycle":""}],"nation":[{"name":"Kenya","abbreviation":"KEN"}],"data_kind":"Sample survey data [ssd]","notes":"The scope of WMS 1 includes:\n- Household characteristics\n- Household income and expenditures\n- Household assets and amenities owned and available to households\n- Land utilization","study_scope":"The scope of WMS 1 includes:\n- Household characteristics\n- Household income and expenditures\n- Household assets and amenities owned and available to households\n- Land utilization"},"method":{"data_collection":{"sampling_procedure":"The NHWMES surveys will be based on the National Sample Survey and Evaluation Programme (NASSEP) Phase III. To monitor poverty and the distribution of its effects among different socio-economic groups in the economy, data should ideally be disaggregated to the community level. However, due to the cost implications and the size of population involved, the national household welfare monitoring and evaluation survey will disaggregate data only to the district level.","coll_mode":"Face-to-face [f2f]","research_instrument":"The questionnaire is one of the shortest, yet potentially most useful household survey questionnaires that CBS has produced. It is difficult, however, to know what reliability to place on annual income and expenditure data which is collected from a single interview. A unique opportunity to test this presents itself however this year due to the fact that the Urban Household Budget Survey and the WMS will both be conducted in the same clusters at the same time.","coll_situation":"The processing of the data unearthed some major data collection problems. The most important of these was the fact that a very large number of household questionnaires were returned incomplete (one of more forms left blank or missing). This is not permissible since every household must have all four forms. This mistake points to a weakness in training and\/or supervision and must be watched very carefully at the next round.","weight":"Weighting of the data followed the specified method established for Kenya's National Sample Survey and Evaluation Programme (NASSEP III). The basic weights, before adjusting for noninterview, are the reciprocals of the probabilities of selection, which is as follows:\nBasic cluster weight='cluster weight' * 'household weight'\nwhere:\n'cluster weight'= 1\/cluster probability\n'household weight'=1\/(10\/# of households) or (# households\/10)\n\nThe nonresponse adjustment factor is estimated at the district level as follows:\nNonresponse Adjustment Factor=Cj\/Ij\nwhere:\nCj=total number of selected households in the district or (10 times the number of clusters per district)\nIj=Actual number of households in the district which responded *\n\n*Ij is the number of households in the sample used in the analysis (8102)\nFinal Adjusted Weight=Basic Cluster Weight * Nonresponse Adjustment Factor","cleaning_operations":"Data entry errors of the following types were found in the analysis of data:\n- Incomplete data: missing records, missing variables\n- Coded variables with illegal codes\n- Continuous variables out of range"}},"data_access":{"dataset_use":{"contact":[{"name":"Kenya National Bureau of Statistics","affiliation":"","email":"datarequest@knbs.or.ke","uri":"http:\/\/statistics.knbs.or.ke\/nada\/index.php\/catalog"}],"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","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":[],"variables":[],"variable_groups":[]}