randomized_response_designer {DesignLibrary} R Documentation

## Create a randomized response design

### Description

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.

### 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.

### Value

A randomized response design.

### Examples

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


[Package DesignLibrary version 0.1.10 Index]