Evidence map›Paper›PMID 32074127›Full record

ArticlePloS one2020

Measuring objectification through the Body Inversion Paradigm: Methodological issues.

Cristina Zogmaister, Federica Durante, Silvia Mari, Franca Crippa, Chiara Volpato

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Cristina ZogmaisterDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.ORCID 0000-0002-1540-7503
Federica DuranteDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.
Silvia MariDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.ORCID 0000-0001-6543-5249
Franca CrippaDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.
Chiara VolpatoDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectification occurs when a person is perceived and/or treated like an object. With the present work, we overview the available measures of objectification and present a series of studies aimed at investigating the validity of the task of inverted body recognition proposed by Bernard and colleagues (2012), which might potentially be a useful cognitive measure of objectification. We conducted three studies. Study 1 (N = 101) is a direct replication of Bernard et al.'s study: participants were presented with the same photos of sexualized male and female targets used in the original research. Study 2a (N = 100) is a conceptual replication: we used different images of scantily dressed male and female models. Finally, in Study 2b (N = 100), we investigated a boundary condition by presenting to participants photos of the same models as in Study 2a, but fully dressed and non-sexualized. Using mixed-effects models for completely-crossed classified data structures, we investigated the relationship between the inversion effect and the stimulus' asymmetry, sexualization and attractiveness, and the perceivers' self-objectification, sexism, and automatic woman-human association. Study 1 replicated the original results, showing a stronger inversion effect for male photos. However, no difference between male and female stimuli emerged in either Study 2a or 2b. Moreover, the impact of the other variables on the inversion effect was highly unstable across the studies. These aspects together indicate that the inversion effect depends on the specific set of stimuli and limits the generalizability of results collected using this method.

Indexed as

Self ConceptAdultFemaleHumansMaleSexismSexual BehaviorYoung Adult

Identifiers

PMID32074127
PMCPMC7031944

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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.