{"doc_desc":{"title":"National Literacy Survey Nigeria-2009","idno":"DDI-NGA-NBS-LIT-2009-v1.0","producers":[{"name":"National Bureau of Statistics","abbr":"NBS","affiliation":"Federal Government of Nigeria (FGN)","role":" Metadata Producer"}],"prod_date":"2010-03-08","version_statement":{"version":"Version 1.0 (March 2010)"}},"study_desc":{"title_statement":{"idno":"NGA-NBS-LIT-2009-v1.0","title":"National Literacy Survey Nigeria-2009","sub_title":"First  Round","alternate_title":"LIT-2009","translated_title":"No translation"},"authoring_entity":[{"name":"National  Bureau of Statistics [NBS]","affiliation":"Federal Government of Nigeria(FGN)"}],"production_statement":{"producers":[{"name":"The National Commission for Mass Literacy, Adult and Non Formal Education","abbr":"(NMEC) ","affiliation":"Federal Government of Nigeria(FGN)","role":"Funding & Technical assistance in Stakeholders meetings, monitoring"}],"copyright":"\u00a9 NBS 2009","funding_agencies":[{"name":"The National Commission for Mass Literacy, Adult and Non Formal Education","abbr":"(NMEC) ","role":"Funding"},{"name":"National  Bureau of Statistics","abbr":"NBS","role":"Funding"}]},"distribution_statement":{"distributors":[{"name":"NATIONAL BUREAU OF STATISTICS","abbr":"NBS","affiliation":"FGN","uri":""},{"name":"United Nations of Children's Fund","abbr":"UNICEF","affiliation":"UNICEF","uri":""}],"contact":[{"name":"Dr V.O. Akinyosoye","affiliation":"Statistician General","email":"voakinyosoye@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"DR G.O. Adewoye","affiliation":"Director Real Sector and Household Statistics Department","email":"georgeadewoye@yahoo.com","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Mr E.O. Ekezie","affiliation":"Head of  Information and Comnucation Technology Department","email":"eekezie@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Mr E .I. Fafunmi","affiliation":"Data Curator","email":"biyifafunmi@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Mr R.F. Busari","affiliation":"Head (Systems Programming)","email":"rfbusari@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Mrs A. A. Akinsanya","affiliation":"Data Archivist","email":"paakinsanya@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"National Bureau of Statistics (NBS)","affiliation":"Fedral Government of Nigeria (FGN)","email":"feedback@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"Though the National Bureau of Statistics generates youth and adult literacy data regularly on annual basis, the survey was conducted with a wider scope to complement the existing data on literacy in Nigeria.  \nThe main purpose of the survey was to determine the magnitude, levels and distribution of adult literacy and obtain comprehensive data and information with a view identifying issues of concern, which need to be addressed in the promotion of adult literacy in Nigeria.  \nUnderlying this is the fact that literacy is fundamental to information dissemination, socio-economic development and poverty alleviation among others.\nIt was the first attempt to carry out a stand alone survey on Literacy Survey Nigeria."},"version_statement":{"version":"Version 1.0 (February 2010)","version_date":"2010-03-08","version_notes":"Version 1.0: Data used to generate the tables and the report (2010)"},"study_info":{"topics":[{"topic":"consumption\/consumer behaviour [1.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"economic conditions and indicators [1.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"income, property and investment\/saving [1.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"rural economics [1.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"employment [3.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"basic skills education [6.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"compulsory and pre-school education [6.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"post-compulsory education [6.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"general health [8.4]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"health care and medical treatment [8.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"specific diseases and medical conditions [8.9]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"housing [10.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"children [12.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"elderly [12.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"family life and marriage [12.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"gender and gender roles [12.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"community, urban and rural life [13.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"social behaviour and attitudes [13.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"social conditions and indicators [13.8]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"fertility [14.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"morbidity and mortality [14.4]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"Determine the magnitude, level and distribution of mass literacy (persons aged 15 year and above)\nObtain comprehensive data and information on mass literacy from literacy providers and stakeholders in both private and public sectors\nIdentify issues of concern which need to be addressed in the promotion of mass literacy in the country\nDetermine the number of persons aged 6 \u2013 14 that are out of school\nAscertain number of persons mainstreaming from non-formal to formal education or vice versa","coll_dates":[{"start":"2009-04","end":"2009-05","cycle":"14 days"}],"nation":[{"name":"Nigeria","abbreviation":"NGA"}],"geog_coverage":"The NISH is a multi purpose on \u2013 going programme of household surveys\nNISH Master Sample (MS) is derived from frame of EAs demarcated by the National Population Commission (NPopC) for the 2006 Housing and Population Census\nThe NISH MS is made up of  200 EAs drawn in 20 independent Replicates\nReplicate made up of 10 EAs Replicates 7 to 10 will be used for the survey\n\nThe survey will cover all the 36 states and Federal Capital Territory (FCT). Both urban and rural areas will be canvassed","analysis_unit":"Household level","universe":"2.1\tSample Design\n2.1.1 Introduction of NISH Design 1993\/99\n\nThe Multiple Indicator Cluster Survey (MICS) 1999 was run as a module of the National Integrated Survey of Households (NISH) design. NISH is the Nigerian version of the United Nations National Household Survey Capability Programme and is a multi-subject household based survey system. It is an ongoing programme of household based surveys enquiring into various aspects of households, including housing, health, education and employment.  The programme started in 1981 after a pilot study in 1980.  The design utilizes a probability sample drawn using a random sampling method at the national and sub-national levels.  \n\nThe main features of the NISH design are:\n\nMulti-Phase Sampling: In each state 800 EAs were selected with equal probability as first phase samples.  A second phase sample of 200 EAs was selected with probability proportional to size.\n\nMulti-Stage Sampling Design: A two-stage design was used. Enumeration Areas were used as the first stage sampling units and Housing Units (HUs) as the second stage sampling units.\n\nReplicated Rotatable Design: Two hundred EAs were selected in each state in 10 independent replicates of 20 EAs per replicate.  A rotation was imposed which ensured 6 replicates to be studied each survey year but in subsequent year a replicate is dropped for a new one, that is, a rotation of 1\/6 was applied.  This means in a survey year, 120 EAs will be covered in each state. In the Federal Capital Territory (Abuja), 60 EAs are covered.\n\nMaster Sample: The EAs and HUs selected constitute the Master Sample and subsets were taken for various surveys depending on the nature of the survey and the sample size desired.  In any one-year, the 120 EAs are randomly allocated to the 12 months of the year for the survey.  The General Household Survey (GHS) is the core module of NISH.  Thus, every month 10 EAs are covered for the GHS.  For other supplemental modules of NISH, subsets of the master sample are used.  The MICS 1999 was run as a module of NISH.\n\n\n2.1.2\tSample Size\n\nThe global MICS design anticipated a sample of 300-500 households per district (domain).  This was based on the assumption of a cluster design with design effect of about 2, an average household size of 6, children below the age of 5 years constituting 15 percent of the population and a diarrhoea prevalence of 25 percent.  Such a sample would give estimates with an error margin of about 0.1 at the district level.  Such a sample would usually come from about 10 clusters of 40 to 50 households per cluster.\n\nIn Nigeria, the parameters are similar to the scenario described above.  Average household size varied from 3.0 to 5.6 among the states, with a national average of about 5.5.  Similarly, children below 5 years constituted between 15-16 percent of total population.  Diarrhoea prevalence had been estimated at about 15 percent.  These figures have led to sample sizes of between 450 and 660 for each state.\n\nIt was decided that a uniform sample of 600 households per state be chosen for the survey. Although non-response, estimated at about 5 percent from previous surveys reduced the sample further, most states had 550 or more households. The MICS sample was drawn from the National Master Sample for the 1998\/99 NISH programme implemented by the Federal Office of Statistics (FOS). \n\nThe sample was drawn from 30 EAs in each state with a sub-sample of 20 households selected per EA. The design was more efficient than the global MICS design which anticipated a cluster sub-sample size of 40-50 households per cluster.  Usually, when the sub-sample size was reduced by half and the number of clusters doubled, a reduction of at least 20 percent in the design effect was achieved.  This was derived from DEFF = 1 + (m-1) rho where m is sub-sample size and rho is intra-class correlation.  Therefore, the design effect for the Nigerian MICS was about 1.6 instead of 2.  This means that for the same size of 600 households, the error margin was reduced by about 10 percent, but where the sample was less than 600 the expected error margin would be achieved.\n\nIt should be noted that sampling was based on the former 30 states plus a Federal Capital Territory administrative structure [there are now 36 states and a Federal Capital Territory]. \n\n2.1.3\tSelection of Households\n\nThe global design anticipated either the segmenting of clusters into small areas of approximate 40-45 households and randomly selecting one so that all households within such area was covered or using the random walk procedure in the cluster to select the 40-45 households.  Neither of the two procedures was employed.  For the segmentation method, it was not difficult to see that the clustering effect could be increased, since, in general, the smaller the cluster the greater the design effect. With such a system, DEFF would be higher than 2, even if minimally.  The random walk method, on the other hand, could be affected by enumerator bias, which would be difficult to control and not easily measurable.\n\nFor NISH surveys, the listing of all housing units in the selected EAs was first carried out to provide a frame for the sub-sampling.  Systematic random sampling was thereafter used to select the sample of housing units.  The GHS used a sub-sample of 10 housing units but since the MICS required 20 households, another supplementary sample of 10 housing units was selected and added to the GHS sample.  All households in the sample housing units were interviewed, as previous surveys have shown that a housing unit generally contained one household.","data_kind":"Sample survey data [ssd]","notes":"Household Socio Demographic Background:\nFor all members of household\nEducational Attainment:\nFor persons currently attending school and\nFor persons that attended school in the past\nLiteracy in English:\nFor persons ever attended school\nFor persons who had never attended school\nLiteracy in any other language:\nFor persons ever attended school\nFor persons who had never attended school\nKnowledge and Accessibility of Literacy Programme: \t\nFor persons aged 15 years and above\nUse & application of reading skills"},"method":{"data_collection":{"time_method":"The pretest exercise for MICS 1999 was conducted in November 1998 while the main survey was conducted from February 15 to April 12 1999","data_collectors":[{"name":"National Bureau of Statistics","abbr":"NBS","role":"","affiliation":"FGN"}],"sampling_procedure":"Forty (40) EAs will be randomly selected from the NISH MS per state\nTen (10) households will be selected in each EA\nA total of 400 HHs will be selected per state\nA total of 14,800 households were sampled for the survey and out of that, 14,737 were successfully interviewed.","sampling_deviation":"There were no deviation from sample Designed","coll_mode":["Face-to-face [f2f]"],"research_instrument":"The study used various instruments to collect the data.  Apart from the main questionnaire that was developed for the survey and targeted the households and individuals, there were other instruments for the conduct of the assessment tests.  The main questionnaire was structured in English Language but the interviewers were trained to translate and conduct the interview in local languages.  \nThe questionnaire contains nine parts (A - I).\nPART A:          IDENTIFICATION INFORMATION\nPart B:\t      SOCIO DEMOGRAPHIC BACKGROUND   (All members)\nPart C:       EDUCATIONAL ATTAINMENT    \nPart D:       EDUCATIONAL ATTAINMENT    \nPART E:     LITERACY IN ENGLISH  \t\nPART F:     LITERACY IN ANY OTHER LANGUAGE\nPART G:     LITERACY IN ENGLISH\nPART H:     LITERACY IN ANY OTHER LANGUAGE\nPART I:\t      KNOWLEDGE AND ACCESSIBILITY OF LITERACY PROGRAMME","sources":[{"name":"","origin":"","characteristics":""}],"coll_situation":"The study used various instruments to collect the data.  Apart from the main questionnaire that was developed for the survey and targeted the households and individuals, there were other instruments for the conduct of the assessment tests.  The main questionnaire was structured in English Language but the interviewers were trained to translate and conduct the interview in local languages.  To achieve this, interviewers were recruited based on the ability to speak the language of the environment where they would conduct the interviews in addition to English. \n\nThe instruments for the conduct of the assessment tests were therefore produced in 15 Nigerian Languages apart from English.  These include Hausa, Igbo, Yoruba, Igala, Nupe, Effik\/Ibibio, Iyache, Yala, Itsekiri, Berom, Idoma, Bokyi, Esan, Edo and Yagba.\n\nTo determine the literacy status, two methods were used: self reporting (one's ability to read and write) and actual testing (assessment of literacy status) of respondents.  Unlike the previous surveys that relied on self-confessions, tests were administered to examine the respondents' levels in literacy and numeric.  Those respondents who had education up to the senior secondary school level were, however, exempted from the test.\n\nHousehold Interviews will be done in a roving manner by 4 teams Each team comprises of 4 interviewers and 1 field supervisor .\nA total of 16 interviewers and 4 field supervisors will be required in each state Each team will canvass 100 households in the 10 EAs\n\nHigh level officers from NBS and NMEC will be involved in the monitoring exercise.  There will be two levels of monitoring.  The first will be the monitoring and on-the-job supervision of the field personnel, (interviewers and supervisors).  This will involve State Monitors and the NBS State Officers.  The second will be the monitoring of field work in the States by the Zonal Coordinators and NBS Zonal Controllers.   For both cases, the Monitoring\/Quality Control Forms will be completed.  The monitoring exercise is to ensure high quality and reliable data.\n \n\t\tRetrieval\nAll completed and edited questionnaires by each team will be in the custody of the field supervisor who is the team leader. The Team leader will submit same to the NBS State Officer who will make arrangement for forwarding all the records for the State to NBS HQs, Abuja.  Returned Questionnaires should be forwarded to NBS HQ.","act_min":"In order to ensure reliability, acceptability and good quality of data collected, some quality control measures were designed for the survey. One of them was the involvement of the major stakeholders from relevant ministries, agencies and parastatals in the planning and implementation of the survey. This led to the formation of the MICS Inter-Sectoral Task-Force Committee comprising members drawn from ministries and agencies including \nHealth, Education, \nWomen Affairs, \nWater Resources, \nPlanned Parenthood\nFederation of Nigeria (PPFN), \nNational Planning Commission, \nILO and UNICEF.\n\nMembers met periodically to design and review the questionnaires before the main survey commenced. The members were involved in the monitoring of the survey in some states and carried out independent quality checks in the field. They were also involved in the review of tables generated for the survey and the analysis. Quality control forms such as interviewer assignment sheet, supervisors\u2019 control and assignment sheets were used and retrieval forms were designed to monitor the survey.","weight":"The Nigeria MICS 1999 design was not self-weighting therefore the need for appropriate weighting in the estimation procedure.  Using the following notations:\n\nNi\t\t=\tNo. of total EAs in ith state\nni\t\t=\tNo. of total sample EAs in ith state\nMij\t\t=\tNo. of housing units in jth EA of ith state.\nmij (=20)\t=\tNo. of selected housing units in jth EA of ith state\nYijk\t\t=\tThe observation of the k housing units in jth EA of ith state\n\n\t\t\tY = \u00e5  Ni  \u00e5  Mij   \u00e5   Yijk\n\t\t\t            ni       mij\n\nOther estimates were similarly derived. The weighting thus takes care of the disproportionate allocation.","cleaning_operations":"National Literacy Survey 2009 data were processed in 4 stages namely, manual editing and coding, data entry, data cleaning and tabulation.\nManual Processing\nCompleted questionnaires started arriving at the NBS  headquarters two weeks after training from the states.  \nManual processing started with the development of editing\/coding guidelines which were used to train the officers on manual editing. \nDevelopment of data entry programme; data entry and editing and tabulation. Census and Surveys Processing System (CSPro) software were used for data entry, Statistical Package for Social Sciences (SPSS) and Census and Surveys Processing System (CSPro) for editing and a combination of SPSS, Statistical Analysis Software (SAS) and EXCEL for table generation. \n \nThe guidelines include errors that could be found in the completed questionnaires and how they could be corrected. These likely errors include omissions, inconsistencies, unreasonable entries, impossible entries, double entries, transcription errors and others found in the questionnaires. 10 officers were selected as editors, while 20 data entry staff were used in addition to 3 programers."},"method_notes":"Data Entry\n The data entry was done manual.\nThe data entry started with a trial entry by the data entry clerks to acquaint them with the modalities and\/or procedures for the data entry after which substantive data entry began. A total of about 20 operators working at the NBS  headquarters. The data entry was completed within 8 weeks. Data entry supervisors working under the Data Processing Coordinator supervised data entry.\n1) Questionnaire reception\n2) Office editing and coding\n3) Data entry\n4) Structure and completeness checking\n5) Verification entry\n6) Comparison of verification data\n7) Back up of raw data\n8) Secondary editing\n9) Edited data back up\nAfter all clusters are processed, all data is concatenated together and then the following steps are completed for all data files:\n10) Export to SPSS in 4 files \n11) Recoding of variables needed for analysis\n12) Adding of sample weights\n13) Structural checking of SPSS files\n16) Production of analysis tabulations\n\n\n\n\n\n Data Cleaning\nData entry was followed by trial tabulation to check for and to correct inconsistencies in the data. A frequency check was done on the values of the variables in all the modules to examine quality of the data. All inconsistencies found were reconciled and all errors found were corrected.\nUNICEF also provided a Consultant from Macro International, New York, who evaluated the data and all inconsistencies discovered at this stage were also corrected. Analysis similarly benefited from the various workshops organized by the WCARO specifically for MICS 2 \n\nData processing began in March 1999 and draft tables produced by August, 1999. The final tables were produced in September 2001. The delay in producing the final tables was due to the need to conduct extensive data verification and to the necessity to undertake a series of evaluations to ensure consistency and comparability of figures with those of other countries in the region.","analysis_info":{"response_rate":"A total of 14,800 households were sampled for the survey and out of that, 14,737 were successfully interviewed, which gave a response rate of 99.6 per cent. \nOf the total interviewed 3,681 were captured in urban and 11,055 in rural area.  \n\nThe distribution represents 25 per cent and 75 per cent respectively for urban and rural areas.","data_appraisal":"To determine the literacy status, two methods were used: self reporting (one's ability to read and write) and actual testing (assessment of literacy status) of respondents.  Unlike the previous surveys that relied on self-confessions, tests were administered to examine the respondents' levels in literacy and numeric.  Those respondents who had education up to the senior secondary school level were, however, exempted from the test."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The confidentiality of the individual respondent is protected by law (Statistical Act 2007)\nThis is published in the Official Gazette of the Federal republic of Nigeria No. 60 vol. 94 of 11th June 2007. See section 26 para.2. Punitive measures for breeches of confidentiality are outlined in section 28 of the same Act.","required":"yes","form_no":"","form_uri":""}],"contact":[{"name":"National Bureau of Statistics (NBS)","affiliation":"Federal Government of Nigeria (FGN)","email":"feedback@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"}],"cit_req":"National Bureau of Statistics, Nigeria,National Literacy Survey-2009-v1.0","conditions":"A comprehensive data access policy is been developed by NBS, however section 27 of the Statistical Act 2007outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.","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 for interpretations or inferences based upon such uses."}}},"schematype":"survey"}