Imputation techniques for improving survey outcomes in Nigeria: the case of the business expectation survey (BES) of the central bank of Nigeria

Detalhes bibliográficos
Autor(a) principal: Sylvanus Udoette, Ubong
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/21449
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
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spelling Imputation techniques for improving survey outcomes in Nigeria: the case of the business expectation survey (BES) of the central bank of NigeriaMissing dataItem Non-responseImputation techniqueRV coefficientMultiple correspondence analysisDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and ManagementOver the years, the issue of respondents’ apathy, missing data and item non-response in particular, has remained a major concern with regards to analyses of survey-based studies undertaken by the Central Bank of Nigeria (CBN). Researchers and policy analysis within the CBN has been plagued by the growing quantum of item non-response. This dissertation will attempt to empirically analyze and recommend the best imputation technique for item nonresponse in surveys undertaken by the Bank. The case in point will be the Business Expectations Survey (BES) conducted quarterly by the CBN. It will take a specific items/questions in the BES for which there are complete responses and undertake a multiple correspondence analysis (MCA) of the responses. Using a complete randomize scheme (table of random numbers) it will exclude 15 – 35 percent of responses as if they were item nonresponse and proceed to replace them through various imputation technique. After which the MCA will be repeated for each of the derived data sets and the result compared with that of the original data sets. The matrices of principal coordinates are compared using the RV coefficient (Escoufier, 1973), a measure of similarity between two datasets such that a value of 1 indicates complete similarity and 0 indicates complete dissimilarity. This coefficient is a generalization of the square of Spearman’s correlation coefficient. The result of the RV coefficient analysis and well as the analysis of some selected summary statistics will be used to recommend the best imputation technique for such item non-responses in future surveys.Jorge Gomes, PauloRUNSylvanus Udoette, Ubong2017-06-06T13:22:48Z2017-05-232017-05-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/21449TID:201700514enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:08:07Zoai:run.unl.pt:10362/21449Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:26:47.657813Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Imputation techniques for improving survey outcomes in Nigeria: the case of the business expectation survey (BES) of the central bank of Nigeria
title Imputation techniques for improving survey outcomes in Nigeria: the case of the business expectation survey (BES) of the central bank of Nigeria
spellingShingle Imputation techniques for improving survey outcomes in Nigeria: the case of the business expectation survey (BES) of the central bank of Nigeria
Sylvanus Udoette, Ubong
Missing data
Item Non-response
Imputation technique
RV coefficient
Multiple correspondence analysis
title_short Imputation techniques for improving survey outcomes in Nigeria: the case of the business expectation survey (BES) of the central bank of Nigeria
title_full Imputation techniques for improving survey outcomes in Nigeria: the case of the business expectation survey (BES) of the central bank of Nigeria
title_fullStr Imputation techniques for improving survey outcomes in Nigeria: the case of the business expectation survey (BES) of the central bank of Nigeria
title_full_unstemmed Imputation techniques for improving survey outcomes in Nigeria: the case of the business expectation survey (BES) of the central bank of Nigeria
title_sort Imputation techniques for improving survey outcomes in Nigeria: the case of the business expectation survey (BES) of the central bank of Nigeria
author Sylvanus Udoette, Ubong
author_facet Sylvanus Udoette, Ubong
author_role author
dc.contributor.none.fl_str_mv Jorge Gomes, Paulo
RUN
dc.contributor.author.fl_str_mv Sylvanus Udoette, Ubong
dc.subject.por.fl_str_mv Missing data
Item Non-response
Imputation technique
RV coefficient
Multiple correspondence analysis
topic Missing data
Item Non-response
Imputation technique
RV coefficient
Multiple correspondence analysis
description Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
publishDate 2017
dc.date.none.fl_str_mv 2017-06-06T13:22:48Z
2017-05-23
2017-05-23T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/21449
TID:201700514
url http://hdl.handle.net/10362/21449
identifier_str_mv TID:201700514
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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