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Publication Years
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539
25
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Category
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Toolboxes
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DHS Working Papers No. 82
CBM and the Global Campaign for Education 2014
A non-exhaustive reference list of organizations working with and for persons with disabilities world-wide.
GETTING TO KNOW CEREBRAL PALSY: Module 2 - Evaluating Your Child
Hambisela - Towards Excellence in Therapy for Cerebral Palsy
Cerebral Palsy Association (Eastern Cape)
(2008)
C2
A learning resource for facilitators, parents, caregivers, and persons with cerebral palsy | Version 1 - Released March 2008
GETTING TO KNOW CEREBRAL PALSY: Module 3 - Positioning Your Child
Hambisela - Towards Excellence in Therapy for Cerebral Palsy
Cerebral Palsy Association (Eastern Cape)
(2008)
C2
A learning resource for facilitators, parents, caregivers, and persons with cerebral palsy | Version 1 - Released March 2008
GETTING TO KNOW CEREBRAL PALSY: Module 5 - Everyday Activities
Hambisela - Towards Excellence in Therapy for Cerebral Palsy
Cerebral Palsy Association (Eastern Cape)
(2008)
C2
A learning resource for facilitators, parents, caregivers, and persons with cerebral palsy | Version 1 - Released March 2008
GETTING TO KNOW CEREBRAL PALSY: Module 7 - Play
Hambisela - Towards Excellence in Therapy for Cerebral Palsy
Cerebral Palsy Association (Eastern Cape)
(2008)
C2
A learning resource for facilitators, parents, caregivers, and persons with cerebral palsy | Version 1 - Released March 2008
This report provides an update on the level of poverty based on 2013/14 Integrated Household Living Conditions Survey (EICV4) focusing on poverty as measured in consumption terms. The report also highlights other trend dimensions of living conditions captured in other surveys that complement and pro
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vide a holistic understanding of poverty and living conditions.
Rwanda’s economy has been growing steadily at about 8% since 2001 with GDP per capita more than tripling from US$ 211 in 2001 to US$ 718 in 2014. Food crop production growth was more than twice that of population growth between 2007 and 2014.
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DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ... the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index. more
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ... the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index. more
