cmBound

cmBound is used to apply a sensitivity analysis and visualize the sensitivity bounds for naive crosswise estimates. The sensitivity analysis assumes that inattentive respondents choose either response option with equal probability.

cmBound(lambda.hat, p, N, dq = NULL, N.dq = NULL)

Arguments

lambda.hat

a value for the observed crosswise proportion: Prop(TRUE-TRUE or FALSE-FALSE).

p

an auxiliary probability for the crosswise question. It must be a single finite value strictly between 0 and 1, excluding 0.5.

N

a value for the number of survey respondents in the crosswise (and anchor) question.

dq

a value for a point estimate from direct questioning (if available).

N.dq

a value for the number of survey respondents in direct questioning (if available).

Value

A ggplot object visualizing the result of sensitivity analysis.

References

Atsusaka, Y. and Stevenson, R. T. (2023). The crosswise model for sensitive survey questions. doi:10.1017/pan.2021.43 .

See also

[bc_est()] for bias-corrected prevalence estimation.

Examples

p <- cmBound(lambda.hat=0.6385, p=0.25, N=310, dq=0.073, N.dq=310)
p


p <- p + ggplot2::ggtitle("Sensitivity Analysis") +
         ggplot2::theme(plot.title = ggplot2::element_text(size=20, face="bold"))