Literature DB >> 28699271

Discounting: A practical guide to multilevel analysis of indifference data.

Michael E Young1.   

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.
© 2017 Society for the Experimental Analysis of Behavior.

Mesh:

Year:  2017        PMID: 28699271     DOI: 10.1002/jeab.265

Source DB:  PubMed          Journal:  J Exp Anal Behav        ISSN: 0022-5002            Impact factor:   2.468


  19 in total

1.  Anhedonia in Trauma-Exposed Individuals: Functional Connectivity and Decision-Making Correlates.

Authors:  Elizabeth A Olson; Roselinde H Kaiser; Diego A Pizzagalli; Scott L Rauch; Isabelle M Rosso
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2017-11-16

2.  Modeling Treatment-Related Decision-Making Using Applied Behavioral Economics: Caregiver Perspectives in Temporally-Extended Behavioral Treatments.

Authors:  Shawn P Gilroy; Brent A Kaplan
Journal:  J Abnorm Child Psychol       Date:  2020-05

3.  Resurrecting the individual in behavioral analysis: Using mixed effects models to address nonsystematic discounting data.

Authors:  Kimberly Kirkpatrick; Andrew T Marshall; Catherine C Steele; Jennifer R Peterson
Journal:  Behav Anal (Wash D C)       Date:  2018-06-18

Review 4.  Dissecting drug effects in preclinical models of impulsive choice: emphasis on glutamatergic compounds.

Authors:  Justin R Yates
Journal:  Psychopharmacology (Berl)       Date:  2018-01-06       Impact factor: 4.530

5.  An Information Theoretic Approach to Model Selection: A Tutorial with Monte Carlo Confirmation.

Authors:  M Christopher Newland
Journal:  Perspect Behav Sci       Date:  2019-06-19

6.  Resurgence of a target behavior suppressed by a combination of punishment and alternative reinforcement.

Authors:  Rusty W Nall; Jillian M Rung; Timothy A Shahan
Journal:  Behav Processes       Date:  2019-03-09       Impact factor: 1.777

7.  Durability and generalizability of time-based intervention effects on impulsive choice in rats.

Authors:  Carrie Bailey; Jennifer R Peterson; Aaron Schnegelsiepen; Sarah L Stuebing; Kimberly Kirkpatrick
Journal:  Behav Processes       Date:  2018-03-12       Impact factor: 1.777

8.  Mixed effects modeling of Morris water maze data revisited: Bayesian censored regression.

Authors:  Michael E Young; Michael R Hoane
Journal:  Learn Behav       Date:  2021-02-22       Impact factor: 1.986

9.  The role of 'jackpot' stimuli in maladaptive decision-making: dissociable effects of D1/D2 receptor agonists and antagonists.

Authors:  Aaron P Smith; Rebecca S Hofford; Thomas R Zentall; Joshua S Beckmann
Journal:  Psychopharmacology (Berl)       Date:  2018-02-18       Impact factor: 4.530

10.  Choice patterns reveal qualitative individual differences among discounting of delayed gains, delayed losses, and probabilistic losses.

Authors:  Yu-Hua Yeh; Joel Myerson; Michael J Strube; Leonard Green
Journal:  J Exp Anal Behav       Date:  2020-04-07       Impact factor: 2.468

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