Evidence map›Paper›PMID 42416689›Full record

ArticleThe Psychological record2025

The Effects of Token Economy Menu Manipulations on Token Demand.

Sean D Regnier, Mark J Rzeszutek, Haily K Traxler, Anthony DeFulio

Abstract read
In one paragraph

Article in The Psychological record, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Sean D RegnierDepartment of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY 40536-0086, U.S.A.ORCID 0000-0002-3621-2051
Mark J RzeszutekDepartment of Family & Community Medicine, University of Kentucky College of Medicine, 2195 Harrodsburg Road, Lexington, KY 40504, U.S.A.ORCID 0000-0003-4555-9767
Haily K TraxlerDepartment of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY 40536-0086, U.S.A.ORCID 0000-0002-5386-553X
Anthony DeFulioDepartment of Psychology, Western Michigan University, Kalamazoo, MI 49008, USA.ORCID 0000-0002-8211-7047

Funding

NRSA Training CoreTL1TR001997 · NCATS · UNIVERSITY OF KENTUCKY · PI PENDERGAST, JULIE S, STOOPS, WILLIAM WALTON · 2016 to 2025
$4.2M
NCATS NIH HHS TL1 TR001997
6 · The paper itself

Abstract

Token economies are one of the most effective interventions in behavior analysis, yet there is substantial room for optimization. One important area of optimization is the collection of back-up reinforcers available for exchange, often called the menu. Little is known about how the number and type of items on the menu influence a token economy's effectiveness. In this study a within subject, experimental survey was used to measure the effects of token menu manipulations on hypothetical work output (i.e., widget production) using 12 hypothetical purchase tasks. Eighty participants (N = 80) imagined a hypothetical scenario in which they could earn money building widgets and use the money to buy items on a token menu. Each hypothetical purchase task corresponded to a combination of different menu sizes (i.e., 3, 6, 12 items) and types (i.e., Food, Activities, Tangibles, Mixed). During each task participants indicated how many widgets they would make at nine fixed-ratio token-production schedule requirements. Each schedule requirement corresponded to the number of widgets a participant must make to earn one dollar. Statistical modeling of participant responses using the exponentiated model of demand was conducted using mixed-effects modeling. Increasing the size of the menu produced consistent increases in demand intensity. Activity, Tangible, and Mixed menus produced robust increases in demand intensity and price sensitivity compared to Food menu, only. The results of this study extend prior research on generalized token reinforcement by demonstrating that increasing the menu size and number of back-up reinforcer categories increases the reinforcing value of tokens.

Indexed as

GeneralizabilityMarketplaceMenuToken

Identifiers

PMID42416689
PMCPMC13340875

What OpenQuestion holds

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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.