Literature DB >> 31965578

Renewal and resurgence phenomena generalize to Amazon's Mechanical Turk.

Théo P Robinson1, Michael E Kelley2.   

Abstract

Amazon's Mechanical Turk (MTurk) is a crowdsourcing platform that provides researchers with the potential for obtaining behavioral data for very little cost. However, the extent to which the results of common behavioral phenomena found in basic, translational, and applied laboratories may be reproduced (as a first step towards prospective research) via MTurk remains relatively unexplored. We evaluated renewal and resurgence arrangements using MTurk as the subject recruitment platform as a first step to determining the generality of the obtained data. Results suggested that MTurk participants produced renewal and resurgence data similar to those reported in basic, translational, and applied studies.
© 2020 Society for the Experimental Analysis of Behavior.

Entities:  

Keywords:  Amazon's Mechanical Turk; MTurk; relapse; renewal; resurgence

Mesh:

Year:  2020        PMID: 31965578     DOI: 10.1002/jeab.576

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


  4 in total

1.  Empirically Deriving Omission and Commission Errors for Relapse Tests: A Demonstration of Reverse Translation.

Authors:  Daniel R Mitteer; Brian D Greer; Kayla R Randall; Ryan T Kimball; Sean W Smith
Journal:  Behav Anal (Wash D C)       Date:  2021-07-01

2.  Phase duration and resurgence.

Authors:  Sean W Smith; Brian D Greer
Journal:  J Exp Anal Behav       Date:  2021-11-11       Impact factor: 2.468

3.  Assessing human performance during contingency changes and extinction tests in reversal-learning tasks.

Authors:  Carolyn M Ritchey; Shawn P Gilroy; Toshikazu Kuroda; Christopher A Podlesnik
Journal:  Learn Behav       Date:  2022-02-02       Impact factor: 1.986

4.  Evaluating Extinction, Renewal, and Resurgence of Operant Behavior in Humans with Amazon Mechanical Turk.

Authors:  Carolyn M Ritchey; Toshikazu Kuroda; Jillian M Rung; Christopher A Podlesnik
Journal:  Learn Motiv       Date:  2021-05-13
  4 in total

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