Produces a (forced) randomized response design that measures the share of individuals with a given trait prevalence_trait in a population of size N. Probability of forced response ("Yes") is given by prob_forced_yes, and rate at which individuals with trait lie is given by withholding_rate.

randomized_response_designer(N = 1000, prob_forced_yes = 0.6,
  prevalence_rate = 0.1, withholding_rate = 0.5)

Arguments

N

An integer. Size of sample.

prob_forced_yes

A number in [0,1]. Probability of a forced yes.

prevalence_rate

A number in [0,1]. Probability that individual has the sensitive trait.

withholding_rate

A number in [0,1]. Probability that an individual with the sensitive trait hides it.

Value

A randomized response design.

Details

randomized_response_designer employs a specific variation of randomized response designs in which respondents are required to report a fixed answer to the sensitive question with a given probability (see Blair, Imai, and Zhou (2015) for alternative applications and estimation strategies).

See vignette online.

Examples

# Generate a randomized response design using default arguments: randomized_response_design <- randomized_response_designer()

Author

DeclareDesign Team