dropR-package: dropR: Dropout Analysis by Condition

In dropR: Dropout Analysis by Condition

dropR: Dropout Analysis by Condition

Description

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" \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1027//1618-3169.49.4.243")}.

Author(s)

Maintainer: Annika Tave Overlander [e-mail]

Authors:

• Matthias Bannert [e-mail]

Other contributors:

• Ulf-Dietrich Reips [contributor]

See Also

Useful links:

• https://iscience-kn.github.io/dropR/

• https://github.com/iscience-kn/dropR

dropR documentation built on July 3, 2024, 5:06 p.m.