A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP)

dc.contributor.advisorLittle, Francesca
dc.contributor.advisorKassanjee, R
dc.contributor.authorNhapi, Raymond T
dc.date.accessioned2019-02-13T13:33:44Z
dc.date.available2019-02-13T13:33:44Z
dc.date.issued2018
dc.date.updated2019-02-13T12:36:11Z
dc.description.abstractWe present an analysis of the data from a longitudinal randomized control trial that assesses the impact of an intervention program aimed at improving the quality of childcare within families. The SCFP was a group-based program implemented over two separate waves conducted in Khayelitsha and Nyanga. The data were collected at baseline, post-test and at one-year follow-up via questionnaires (self-assessment) and observational video coding. Multiple imputation (using chained equations) procedures were used to impute missing information. Generalized linear Mixed Effect Models (GLMMs) were used to assess the impact of the intervention program on the responses, adjusted for possible confounding variables. These summed scores were often right skewed with zero-inflation. All the effects (fixed and random) were estimated through the method of maximum likelihood. Primarily, an intention-to-treat analysis was done after which a per-protocol analysis was also implemented with participants who attended a specified number of the group sessions. All these GLMMs were implemented in the imputation framework.
dc.identifier.apacitationNhapi, R. T. (2018). <i>A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP)</i>. (). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/29507en_ZA
dc.identifier.chicagocitationNhapi, Raymond T. <i>"A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP)."</i> ., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2018. http://hdl.handle.net/11427/29507en_ZA
dc.identifier.citationNhapi, R. 2018. A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP). University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Nhapi, Raymond T AB - We present an analysis of the data from a longitudinal randomized control trial that assesses the impact of an intervention program aimed at improving the quality of childcare within families. The SCFP was a group-based program implemented over two separate waves conducted in Khayelitsha and Nyanga. The data were collected at baseline, post-test and at one-year follow-up via questionnaires (self-assessment) and observational video coding. Multiple imputation (using chained equations) procedures were used to impute missing information. Generalized linear Mixed Effect Models (GLMMs) were used to assess the impact of the intervention program on the responses, adjusted for possible confounding variables. These summed scores were often right skewed with zero-inflation. All the effects (fixed and random) were estimated through the method of maximum likelihood. Primarily, an intention-to-treat analysis was done after which a per-protocol analysis was also implemented with participants who attended a specified number of the group sessions. All these GLMMs were implemented in the imputation framework. DA - 2018 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2018 T1 - A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP) TI - A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP) UR - http://hdl.handle.net/11427/29507 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/29507
dc.identifier.vancouvercitationNhapi RT. A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP). []. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2018 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/29507en_ZA
dc.language.isoeng
dc.publisher.departmentDepartment of Statistical Sciences
dc.publisher.facultyFaculty of Science
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherStatistics
dc.titleA GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP)
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMSc
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