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A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP)
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....
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| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2019
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| _version_ | 1867614195297550336 |
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| access_status_str | Open Access |
| author | Nhapi, Raymond T |
| author2 | Little, Francesca |
| author_browse | Little, Francesca Nhapi, Raymond T |
| author_facet | Little, Francesca Nhapi, Raymond T |
| author_sort | Nhapi, Raymond T |
| collection | Thesis |
| description | 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. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/29507 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:48:11.011Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Department of Statistical Sciences |
| publisherStr | Department of Statistical Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/29507 A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP) Nhapi, Raymond T Little, Francesca Kassanjee, R Statistics 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. 2019-02-13T13:33:44Z 2019-02-13T13:33:44Z 2018 2019-02-13T12:36:11Z Master Thesis Masters MSc http://hdl.handle.net/11427/29507 eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town |
| spellingShingle | Statistics Nhapi, Raymond T A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP) |
| thesis_degree_str | Master's |
| title | A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP) |
| title_full | A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP) |
| title_fullStr | A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP) |
| title_full_unstemmed | A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP) |
| title_short | A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP) |
| title_sort | glmm analysis of data from the sinovuyo caring families program scfp |
| topic | Statistics |
| url | http://hdl.handle.net/11427/29507 |
| work_keys_str_mv | AT nhapiraymondt aglmmanalysisofdatafromthesinovuyocaringfamiliesprogramscfp AT nhapiraymondt glmmanalysisofdatafromthesinovuyocaringfamiliesprogramscfp |