sampsize_DHS: Compute the stratum-specific cluster/household sample size...

In sgutreuter/SGmisc: Miscellaneous R Convenience Functions

Compute the stratum-specific cluster/household sample size for proportions from binomial counts estimated from a Demographic and Health Survey

Description

Compute the stratum-specific cluster/household sample size for proportions from binomial counts estimated from a Demographic and Health Survey

Usage

sampsize_DHS(
  p = NULL,
  Deff = NULL,
  RSE = NULL,
  R1 = NULL,
  R2 = NULL,
  eligibles = NULL
)

Arguments

p	A vector of anticipated proportions.
Deff	The anticipated conventional design effect (square of the Kish design effect, Deft). Hint: Deff = 2.0 is an over-used assumption; try do to better.
RSE	The desired relative standard error of estimation expressed as a proportion.
R1	Expected proportion of clusters (households) that participate.
R2	Expected proportion of eligible clusters (household) members who participate.
eligibles	The anticipated average number of eligible respondents per cluster (household).

Value

A list containing a vector of estimated required sample sizes (numbers of clusters/households) and the function call.

Author(s)

Steve Gutreuter

References

ICF International. Demographic and Health Survey Sampling and Household Listing Manual. MEASURE DHS, Calverton, Maryland. 2012. https://dhsprogram.com/pubs/pdf/DHSM4/DHS6_Sampling_Manual_Sept2012_DHSM4.pdf

sgutreuter/SGmisc documentation built on Aug. 25, 2024, 7:21 p.m.