Representativity Indicators for Survey Quality

Calculate representativity indicators for survey quality based on survey data and response models. Use partial indicators to analyse the impact of individual variables and categories. Monitor changes in representativity during data collection. Improve representativity through adaptive survey design. Supports both R-indicators and coefficients of variation. See also Schouten, Cobben, Bethlehem (2009) < https://api.semanticscholar.org/CorpusID:33654901>, Shlomo, Skinner, Schouten (2012) and Schouten, Shlomo (2017) .

RISQ

RISQ is a package for the estimation of Representativity Indicators for Survey Quality.

Installation

To install RISQ, use the following R command.

install.packages("risq")

Usage

Below is an example of how to estimate indicators.

library(risq)

# Construct RISQ object.
risq_hlc <- risq(predictor = ~ gender + age, data = hlc)

# Estimate R-indicator.
ri(risq_hlc, "response_1")
#> $value
#> [1] 0.9450971
#> 
#> $se
#> [1] 0.005386833

# Estimate coefficient of variation.
cv(risq_hlc, "response_1")
#> $value
#> [1] 0.05022405
#> 
#> $se
#> [1] 0.00492778