squeacr: Semi-Quantitative Evaluation of Access and Coverage (SQUEAC)...
In ernestguevarra/squeacr: Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) Tools in R
squeacr R Documentation
Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) Tools in R
Description
In the recent past, measurement of coverage has been mainly through
two-stage cluster sampled surveys either as part of a nutrition assessment
or through a specific coverage survey known as Centric Systematic Area
Sampling (CSAS). However, such methods are resource intensive and often only
used for final programme evaluation meaning results arrive too late for
programme adaptation. SQUEAC, which stands for Semi-Quantitative Evaluation
of Access and Coverage, is a low resource method designed specifically to
address this limitation and is used regularly for monitoring, planning and
importantly, timely improvement to programme quality, both for agency and
Ministry of Health (MoH) led programmes. This package provides functions
for use in conducting a SQUEAC investigation.
Author(s)
Maintainer: Ernest Guevarra ernest@guevarra.io (ORCID)
References
Myatt, Mark et al. 2012. Semi-Quantitative Evaluation of Access and
Coverage (SQUEAC)/Simplified Lot Quality Assurance Sampling Evaluation of
Access and Coverage (SLEAC) Technical Reference. Washington, DC: FHI 360/FANTA.
See Also
Useful links:
ernestguevarra/squeacr documentation built on April 23, 2024, 1:23 p.m.
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| squeacr | R Documentation |
Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) Tools in R
Description
In the recent past, measurement of coverage has been mainly through two-stage cluster sampled surveys either as part of a nutrition assessment or through a specific coverage survey known as Centric Systematic Area Sampling (CSAS). However, such methods are resource intensive and often only used for final programme evaluation meaning results arrive too late for programme adaptation. SQUEAC, which stands for Semi-Quantitative Evaluation of Access and Coverage, is a low resource method designed specifically to address this limitation and is used regularly for monitoring, planning and importantly, timely improvement to programme quality, both for agency and Ministry of Health (MoH) led programmes. This package provides functions for use in conducting a SQUEAC investigation.
Author(s)
Maintainer: Ernest Guevarra ernest@guevarra.io (ORCID)
References
Myatt, Mark et al. 2012. Semi-Quantitative Evaluation of Access and Coverage (SQUEAC)/Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC) Technical Reference. Washington, DC: FHI 360/FANTA.
See Also
Useful links:
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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