Date of this Version
Stevens, J. R. (2021). excluder: An R package that checks for exclusion criteria in online data. Journal of Open Source Software, 6(67), 3893. https://doi.org/10.21105/joss.03893
Collecting survey data online can result in low-quality data. Survey participants may not complete the survey, may complete the survey too quickly or slowly, may not reside in the country they claim, or may use unacceptable screen types. Also, online surveys are plagued by automated bots attempting to complete the surveys while offering worthless data. Researchers collecting online data may want to check their data for these and other potential criteria to exclude problematic data entries. The excluder package uses three main function types to mark, check, and exclude data based on seven different exclusion criteria.