dropR: Dropout Analysis by Condition

Analysis and visualization of dropout between conditions in surveys and (online) experiments. Features include computation of dropout statistics, comparing dropout between conditions (e.g. Chi square), analyzing survival (e.g. Kaplan-Meier estimation), comparing conditions with the most different rates of dropout (Kolmogorov-Smirnov) and visualizing the result of each in designated plotting functions. Sources: Andrea Frick, Marie-Terese Baechtiger & Ulf-Dietrich Reips (2001) <https://www.researchgate.net/publication/223956222_Financial_incentives_personal_information_and_drop-out_in_online_studies>; Ulf-Dietrich Reips (2002) "Standards for Internet-Based Experimenting" <doi:10.1027//1618-3169.49.4.243>.

Package details

AuthorAnnika Tave Overlander [aut, cre], Matthias Bannert [aut], Ulf-Dietrich Reips [ctb]
MaintainerAnnika Tave Overlander <annika-tave.overlander@uni.kn>
LicenseGPL (>= 3)
URL https://iscience-kn.github.io/dropR/ https://github.com/iscience-kn/dropR
Package repositoryView on CRAN
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dropR documentation built on July 3, 2024, 5:06 p.m.