Create a Statistical Disclosure Control Report.

Create a statistical disclosure control report: Which variables have categories with low absolute frequencies, which might lead to statistical data disclosure issues?

Usage

sdc_check(fileName, boundary = 5, exclude = NULL, encoding = NULL)

Arguments

fileName: Character string of the SPSS file
boundary: Integer number: categories with less than or equal to boundary observations will be flagged
exclude: Optional: character vector of variable names which should be excluded from the report
encoding: Optional: The character encoding used for reading the .sav file. The default, NULL, uses the encoding specified in the file, but sometimes this value is incorrect and it is useful to be able to override it.

Value

A data.frame.

Details

Individual participants of studies such as educational large-scale assessments usually must remain non-identifiable on individual level. This function checks all variables in a GADSdat object for low frequency categories which might lead to statistical disclosure control issues. Currently, only a uni-variate check is implemented.

Examples

sav_path <- system.file("extdata", "LV_2011_CF.sav", package = "eatFDZ")

## don't report low frequencies for unique id variables
exclude<- c("idstud_FDZ", "idsch_FDZ")

##
sdc_report <- sdc_check(fileName = sav_path, exclude=exclude)