Evidence map›Paper›PMID 40750736›Full record

ArticleBehavior research methods2025

A minute can only be spent once: Validating a behavioral paradigm to study societally relevant time allocation conflicts.

Florian Lange, Alex Rieger

Abstract read
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In one paragraph

Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Florian Lange *Behavioral Economics and Engineering Group, KU Leuven, Naamsestraat 69, 3000, Leuven, Belgium. florian.lange@kuleuven.be.ORCID http://orcid.org/0000-0002-8336-5608
Alex Rieger *Institute of Psychology - Methodology and Biopsychology, TU Braunschweig, Spielmannstraße 19, 38106, Braunschweig, Germany.ORCID http://orcid.org/0000-0002-1247-6810

Funding

Fonds Wetenschappelijk Onderzoek 12U1221N
6 · The paper itself

Abstract

Societally beneficial behaviors often have to compete with alternative behaviors for limited resources (e.g., time). Every minute invested in helping others, the community, or the natural environment cannot be invested in the pursuit of hedonic pleasure or economic profit. Yet existing behavioral paradigms and experimental models rarely consider the activities competing with the societally beneficial behavior of interest. Here, we developed the Behavioral Allocation Task (BAT) to explicitly model the opportunity costs of pro-environmental behavior. On each BAT trial, participants can decide whether they want to use the next 30 s to generate environmental benefits, to work for their own financial benefit, or to engage in a potentially more hedonic activity (i.e., watching videos). A preregistered experiment (N = 228) showed BAT choice behavior to systematically track the value of those behavioral options. Pro-environmental choices became more likely when they led to larger environmental benefits, but also when the competing behaviors decreased in value. Individual differences in BAT behavior were also found to be moderately correlated with self-report measures of pro-environmental propensity. These findings support the suitability of the BAT for studying how people allocate their time between pro-environmental behavior and valued competing behaviors. More generally, they illustrate that behavior change interventions may benefit from targeting the behaviors that compete with societally beneficial behaviors.

Indexed as

Choice BehaviorConflict, PsychologicalAdolescentAdultFemaleHumansMaleYoung AdultBehavioral Allocation TaskBehavioral paradigmConsequencesExperimental modelOnline assessmentOpportunity costPro-environmental behavior

Identifiers

PMID40750736

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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.