nDep2sam: Simple random sample size for difference in means
Description
Compute a simple random sample size for estimating the difference in means when samples overlap
Usage
nDep2sam(S2x, S2y, g, r, rho, alt, del, sig.level=0.05, pow=0.80)
Arguments
S2x
unit variance of analysis variable x in sample 1
S2y
unit variance of analysis variable y in sample 2
g
proportion of sample 1 that is in the overlap with sample 2
r
ratio of the size of sample 1 to that of sample 2
rho
unit-level correlation between x and y
alt
should the test be 1-sided or 2-sided; allowable values are alt="one.sided" or alt="two.sided".
del
size of the difference between the means to be detected
sig.level
significance level of the hypothesis test
pow
desired power of the test
Value
List with values:
n1
sample size in group 1
n2
sample size in group 2
S2x.S2y
unit variances in groups 1 and 2
delta
difference in group means to be detected
gamma
proportion of sample 1 that is in the overlap with sample 2
r
ratio of the size of sample 1 to that of sample 2
rho
unit-level correlation between analysis variables in groups 1 and 2
alt
type of test: one-sided or two-sided
sig.level
significance level of test
power
power of the test
Details
nDep2sam computes sample sizes in two groups that are required for testing whether the difference in group means is significant. The power of the test is one of the input parameters. The samples have a specified proportion of units in common. Both samples are assumed to be selected via simple random sampling.
References
Valliant, R., Dever, J., Kreuter, F. (2018, chap. 4). Practical Tools for Designing and Weighting Survey Samples, 2nd edition. New York: Springer.
Woodward, M. (1992). Formulas for Sample Size, Power, and Minimum Detectable Relative Risk in Medical Studies. The Statistician, 41, 185-196.