Create a randomized response design — randomized_response

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.

Usage

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

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.
args_to_fix: A character vector. Names of arguments to be args_to_fix in design.

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 args_to_fix answer to the sensitive question with a given probability (see Blair, Imai, and Zhou (2015) for alternative applications and estimation strategies).

See vignette online.

Author

DeclareDesign Team

Examples

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