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