Evidence map›Paper›PMID 38528303›Full record

ArticlePsychonomic bulletin & review2024

Remembering the truth or falsity of advertising claims: A preregistered model-based test of three competing theoretical accounts.

Lena Nadarevic, Raoul Bell

Abstract read
In one paragraph

Article in Psychonomic bulletin & review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Lena NadarevicDepartment of Psychology, School of Social Sciences, University of Mannheim, D-68131, Mannheim, Germany. nadarevic@uni-mannheim.de.ORCID http://orcid.org/0000-0003-1852-5019
Raoul BellHeinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID http://orcid.org/0000-0002-0592-0362

Funding

Deutsche Forschungsgemeinschaft 451722987
6 · The paper itself

Abstract

Given the large amount of information that people process daily, it is important to understand memory for the truth and falsity of information. The most prominent theoretical models in this regard are the Cartesian model and the Spinozan model. The former assumes that both "true" and "false" tags may be added to the memory representation of encoded information; the latter assumes that only falsity is tagged. In the present work, we contrasted these two models with an expectation-violation model hypothesizing that truth or falsity tags are assigned when expectations about truth or falsity must be revised in light of new information. An interesting implication of the expectation-violation model is that a context with predominantly false information leads to the tagging of truth whereas a context with predominantly true information leads to the tagging of falsity. To test the three theoretical models against each other, veracity expectations were manipulated between participants by varying the base rates of allegedly true and false advertising claims. Memory for the veracity of these claims was assessed using a model-based analysis. To increase methodological rigor and transparency in the specification of the measurement model, we preregistered, a priori, the details of the model-based analysis test. Despite a large sample size (N = 208), memory for truth and falsity did not differ, regardless of the base rates of true and false claims. The results thus support the Cartesian model and provide evidence against the Spinozan model and the expectation-violation model.

Indexed as

AdvertisingMental RecallModels, PsychologicalAdultDeceptionFemaleHumansMaleYoung AdultAdvertising claimsCartesian modelExpectationsFeedback memoryMultinomial modelSpinozan modelVeracity feedback

Identifiers

PMID38528303
PMCPMC11543714

What OpenQuestion 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 OpenQuestion graph.