Evidence map›Paper›PMID 38844601›Full record

ArticleBehavior research methods2024

Consistency within change: Evaluating the psychometric properties of a widely used predictive-inference task.

Alisa M Loosen, Tricia X F Seow, Tobias U Hauser

Abstract read
In one paragraph

Article in Behavior research methods, 2024. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Day-to-day fluctuations in motivation drive effort-based decision-making.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Review
  5. Article
  6. 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

3 authors.

Alisa M LoosenMax Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK. a.loosen.17@ucl.ac.uk.ORCID http://orcid.org/0000-0002-4295-3817
Tricia X F SeowMax Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK.
Tobias U HauserMax Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK.

Funding

Brain and Behavior Research Foundation 27023H2020 European Research Council 946055Jacobs Foundation 2017-1261-04Leverhulme Trust PLP-2021-040Max-Planck-Gesellschaft IMPRS COMP2PSYCHRoyal Society sir-henry-dale-fellowshipsWellcome TrustWellcome Trust 203147/Z/16/ZWellcome Trust 211155/Z/18/BWellcome Trust 211155/Z/18/ZWellcome Trust 224051/Z/21)Wellcome Trust 224051/Z/21/Z
6 · The paper itself

Abstract

Rapid adaptation to sudden changes in the environment is a hallmark of flexible human behaviour. Many computational, neuroimaging, and even clinical investigations studying this cognitive process have relied on a behavioural paradigm known as the predictive-inference task. However, the psychometric quality of this task has never been examined, leaving unanswered whether it is indeed suited to capture behavioural variation on a within- and between-subject level. Using a large-scale test-retest design (T1: N = 330; T2: N = 219), we assessed the internal (internal consistency) and temporal (test-retest reliability) stability of the task's most used measures. We show that the main measures capturing flexible belief and behavioural adaptation yield good internal consistency and overall satisfying test-retest reliability. However, some more complex markers of flexible behaviour show lower psychometric quality. Our findings have implications for the large corpus of previous studies using this task and provide clear guidance as to which measures should and should not be used in future studies.

Indexed as

PsychometricsAdolescentAdultFemaleHumansMaleReproducibility of ResultsYoung AdultDecision-makingInternal consistencyLearningPredictive inferencePsychometric qualitiesTest–retest reliability

Identifiers

PMID38844601
PMCPMC11362202

What Socratic holds

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Registered trials

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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 Socratic graph.