Evidence map›Paper›PMID 34149066›Full record

ArticleLearning and motivation2021

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

Carolyn M Ritchey, Toshikazu Kuroda, Jillian M Rung, Christopher A Podlesnik

Open access · hybridAbstract read
In one paragraph

Article in Learning and motivation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Validating Human-Operant Software: A Case Example.Behavior analysis (Washington, D.C.) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Carolyn M RitcheyDepartment of Psychological Sciences, Auburn University.
Toshikazu KurodaHuckle Co., Ltd., Aichi, Japan.
Jillian M RungUniversity of Florida.
Christopher A PodlesnikDepartment of Psychological Sciences, Auburn University.
Auburn University · USAichi Bunkyo University · JPUniversity of Florida · US

Funding

UF Substance Abuse Training Center in Public HealthT32DA035167 · NIDA · UNIVERSITY OF FLORIDA · PI Linda B. Cottler · 2014 to 2026
$4.8M
NIDA NIH HHS T32 DA035167
6 · The paper itself

Abstract

Amazon Mechanical Turk (MTurk) is a crowdsourcing marketplace providing researchers with the opportunity to collect behavioral data from remote participants at a low cost. Recent research demonstrated reliable extinction effects, as well as renewal and resurgence of button pressing with MTurk participants. To further examine the generality of these findings, we replicated and extended these methods across six experiments arranging reinforcement and extinction of a target button press. In contrast to previous findings, we did not observe as reliable of decreases in button pressing during extinction (1) after training with VR or VI schedules of reinforcement, (2) in the presence or absence of context changes, or (3) with an added response cost for button pressing. However, we found that that a 1-point response cost for all button presses facilitated extinction to a greater extent than the absence of response cost. Nevertheless, we observed ABA renewal of button pressing when changing background contexts across phases and resurgence when extinguishing presses on an alternative button. Our findings suggest that MTurk could be a viable platform from which to ask and address questions about extinction and relapse processes, but further procedural refinements will be necessary to improve the replicability of control by experimental contingencies.

Indexed as

Amazon Mechanical Turkbutton pressextinctionhumansreinforcement

Identifiers

PMID34149066
PMCPMC8208628
OpenAlexW3161792298

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.