A Monte Carlo method for comparing generalized estimating equations to conventional statistical techniques for discounting data

• Published in: Journal of the experimental analysis of behavior Vol. 111; no. 2; p. 207
• Main Authors: Friedel, Jonathan E, DeHart, William B, Foreman, Anne M, Andrew, Michael E
• Format: Journal Article
• Language: English
• Published: United States 01.03.2019
• Subjects: Accidents, Traffic - statistics & numerical data; Analysis of Variance; Data Interpretation, Statistical; Decision Making; Delay Discounting; Humans; Likelihood Functions; Models, Statistical; Monte Carlo Method; Probability; Research Design; Statistics as Topic; Text Messaging - statistics & numerical data; Monte Carlo; mixed-effects models; generalized estimating equations; discounting

Discounting is the process by which outcomes lose value. Much of discounting research has focused on differences in the degree of discounting across various groups. This research has relied heavily on conventional null hypothesis significance tests that are familiar to psychologists, such as t-tests...