nProp: Compute simple random sample size for estimating a proportion In PracTools: Tools for Designing and Weighting Survey Samples

 nProp R Documentation

Compute simple random sample size for estimating a proportion

Description

Compute the simple random sample size for estimating a proportion based on different precision requirements.

Usage

``````nProp(CV0 = NULL, V0 = NULL, pU = NULL, N = Inf)
``````

Arguments

 `CV0` target value of coefficient of variation of the estimated proportion `V0` target value of variance of the estimated proportion `pU` population proportion `N` number of units in finite population

Details

The precision requirement of `p_s` can be set based on either a target coefficient of variation, `CV_0`, or a target variance, `V_0`. In either case, a value of `p_U` must be supplied.

Value

numeric sample size

Author(s)

Richard Valliant, Jill A. Dever, Frauke Kreuter

References

Valliant, R., Dever, J., Kreuter, F. (2018, chap. 3). Practical Tools for Designing and Weighting Survey Samples, 2nd edition. New York: Springer.

`nCont`, `nLogOdds`, `nPropMoe`, `nWilson`

Examples

``````# srs sample size so that CV of estimated proportion is 0.05
# assuming the population is large and pU=0.01
# Both examples below are equivalent
nProp(V0=0.0005^2, N=Inf, pU=0.01) #or
nProp(CV0=0.05, N=Inf, pU=0.01)

# srswor sample size so that half-width of 2-sided 95% CI is 0.005
nProp(V0=(0.005/1.96)^2, N=Inf, pU=0.01)
``````

PracTools documentation built on Nov. 9, 2023, 9:06 a.m.