Journal ArticleDOI
Discounting: A practical guide to multilevel analysis of indifference data.
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Examples are provided that indicate that multilevel modeling improves estimation in the presence of variability and missing data, and when trying to fit two-parameter discounting functions.Abstract:
Multilevel modeling provides the ability to simultaneously evaluate the discounting of individuals and groups using indifference point data. After considering the conditions when weaknesses emerge in estimating individual discounting as a prelude to estimating group discounting, examples are provided that indicate that multilevel modeling improves estimation in the presence of variability and missing data, and when trying to fit two-parameter discounting functions. Concrete examples of how to fit nonlinear multilevel models are provided to help researchers in the adoption of these methods.read more
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Discounting: A practical guide to multilevel analysis of choice data
TL;DR: Examples of how to fit choice data using multilevel logistic models are provided to help researchers in the adoption of these methods.
Journal ArticleDOI
Applying mixed-effects modeling to single-subject designs: An introduction
TL;DR: The results of a generalized linear mixed-effects model applied to single-subject data taken from Ackerlund Brandt, Dozier, Juanico, Laudont, & Mick, 2015, in which children chose from one of three reinforcers for completing a task are presented.
Journal ArticleDOI
Anhedonia in Trauma-Exposed Individuals: Functional Connectivity and Decision-Making Correlates.
Elizabeth A. Olson,Elizabeth A. Olson,Roselinde H. Kaiser,Diego A. Pizzagalli,Scott L. Rauch,Scott L. Rauch,Isabelle M. Rosso,Isabelle M. Rosso +7 more
TL;DR: Greater anhedonia was related to higher positive connectivity between NAcc and right dorsomedial prefrontal cortex and to increased delay discounting, i.e., greater preference for smaller immediate versus larger delayed rewards.
Journal ArticleDOI
Durability and generalizability of time-based intervention effects on impulsive choice in rats.
Carrie Bailey,Jennifer R. Peterson,Aaron Schnegelsiepen,Sarah L. Stuebing,Kimberly Kirkpatrick +4 more
TL;DR: The experiments indicate that the FI intervention is effective at decreasing impulsive choice behavior for an extended period across changing delays and magnitudes, suggesting a relatively broad effect on choice behavior.
Journal ArticleDOI
Applying Mixed-Effects Modeling to Behavioral Economic Demand: An Introduction
TL;DR: A high-level overview of mixed-effects modeling techniques applied to behavioral economic demand data can be found in this article, where the authors compare and contrast results from traditional techniques to that of the mixed effects models across two datasets differing in species and experimental design.
References
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TL;DR: A large-scale assessment suggests that experimental reproducibility in psychology leaves a lot to be desired, and correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.
Journal ArticleDOI
False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant
TL;DR: It is shown that despite empirical psychologists’ nominal endorsement of a low rate of false-positive findings, flexibility in data collection, analysis, and reporting dramatically increases actual false- positive rates, and a simple, low-cost, and straightforwardly effective disclosure-based solution is suggested.
Journal ArticleDOI
A discounting framework for choice with delayed and probabilistic rewards.
Leonard Green,Joel Myerson +1 more
TL;DR: The present effort illustrates the value of studying choice involving both delayed and probabilistic outcomes within a general discounting framework that uses similar experimental procedures and a common analytical approach.
Journal ArticleDOI
Area under the curve as a measure of discounting
TL;DR: A novel approach to the measurement of discounting based on calculating the area under the empirical discounting function, which avoids some of the problems associated with measures based on estimates of the parameters of theoretical discounting functions.