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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>.
Getting started
Browse package contents
Package details |
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| Author | Annika Tave Overlander [aut, cre], Matthias Bannert [aut], Ulf-Dietrich Reips [ctb] |
| Maintainer | Annika Tave Overlander <annika-tave.overlander@uni.kn> |
| License | GPL (>= 3) |
| Version | 1.0.3 |
| URL | https://iscience-kn.github.io/dropR/ https://github.com/iscience-kn/dropR |
| Package repository | View on CRAN |
| Installation |
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