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statpsych (version 1.7.0)

size.ci.pbcor: Sample size for a point-biserial correlation confidence interval

Description

Computes the sample size required to estimate a population point-biserial correlation with desired confidence interval precision in a two-group nonexperimental design with simple random sampling. A two-group nonexperimental design implies two subpopulations (e.g., all boys and all girls in a school district). This function requires a planning value for the proportion of population members who belong to one of the two subpopulations. Set the correlation planning value to the smallest absolute value within a plausible range for a conservatively large sample size.

Usage

size.ci.pbcor(alpha, cor, w, p)

Value

Returns the required sample size

Arguments

alpha

alpha level for 1-alpha confidence

cor

planning value of point-biserial correlation

w

desired confidence interval width

p

proportion of members in one of the two subpopulations

References

Bonett2020astatpsych

Examples

Run this code
size.ci.pbcor(.05, .40, .25, .73)

# Should return:
# Sample size
#         168
 

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