Minimising Total Survey Error Arising from Sampling and Non-Sampling Errors: A Design Based Approach

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dc.contributor.author Munyaradzi, Damson
dc.date.accessioned 2018-02-14T06:26:15Z
dc.date.available 2018-02-14T06:26:15Z
dc.date.issued 2018-02-14
dc.identifier.citation Munyaradzi, 2014. en_US
dc.identifier.uri http://hdl.handle.net/123456789/4084
dc.description MASTER OF SCIENCE (Mathematics - Statistics Option) en_US
dc.description.abstract This study was based on the total survey error paradigm in which the purpose was to examine a variety of sources of errors in a survey. The study sought to quantify the total survey error for estimating population total in two stage cluster sampling and empirically compute the mean square error estimate using data from an actual survey. Furthermore, the study analysed a method of handling non-response in complex survey design. The methodology of the study was centred on the decomposition of the mean square error into sampling error, refusal error, noninterview error and response error. These were further simplified to come with a total survey error expression. An empirical study with data based on waiting time to conception in women in Zimbabwe was conducted to estimate the population total survey error using this model. Data collection was done through face-to-face interviews in the selected clusters. The results shows that both unit and item non-response contributed significantly (90.8%) to the total mean square error. Imputation was done in order to reduce the error and the results show that imputation should be done within each cluster since the non-response depends on a cluster level random effect. en_US
dc.description.sponsorship Professor R. Odhiambo Jomo Kenyatta University of Agriculture and Technology Dr G.Orwa Jomo Kenyatta University of Agriculture and Technology en_US
dc.language.iso en en_US
dc.publisher JKUAT-PAUSTI en_US
dc.subject Total Survey Error en_US
dc.subject Non-Sampling Errors en_US
dc.subject Sampling Errors en_US
dc.subject Design Based Approach en_US
dc.title Minimising Total Survey Error Arising from Sampling and Non-Sampling Errors: A Design Based Approach en_US
dc.type Thesis en_US


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