Evidence map›Paper›PMID 39594393›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

Design and Validation of the Gender-Based Violence Stereotypical Beliefs Scale.

Enrique Bonilla-Algovia, Andreea Gabriela Pana, Concepción Carrasco Carpio

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2024. 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
–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

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

3 authors.

Enrique Bonilla-AlgoviaDepartment of Education, Distance University of Madrid (UDIMA), 28400 Madrid, Spain.ORCID 0000-0003-1667-1880
Andreea Gabriela PanaDepartment of Economics (Sociology), University of Alcalá (UAH), 28801 Madrid, Spain.ORCID 0000-0001-9510-6403
Concepción Carrasco CarpioDepartment of Economics (Sociology), University of Alcalá (UAH), 28801 Madrid, Spain.

Funding

Consejería de Educación, Cultura y Deportes and Fondo Europeo de Desarrollo Regional (FEDER) SBPLY/21/180501/000065INSTITUTE FOR WOMEN OF CASTILLA-LA MANCHA CATEDRA2019-002
6 · The paper itself

Abstract

Gender-based violence is a public health issue influenced by culture and social values, which is why its comprehensive prevention requires addressing distorted beliefs and legitimising myths present in society. The aim of this study was, on the one hand, to design and validate the Gender-Based Violence Stereotypical Beliefs Scale (GBVSBS), and, on the other, to analyse the differences between men and women regarding these beliefs. The sample consisted of 404 university students from the Community of Madrid and Castilla-La Mancha (Spain), aged between 18 and 53 years. This study is based on a quantitative methodology and a cross-sectional design. The judgement of four specialists in the field supported the content validity of the items. Factorial analyses provided evidence for a two-factor model: myths about male perpetrators and myths about gender-based violence and female victims. The fit indices and reliability coefficients were adequate. Stereotypical beliefs about gender-based violence correlated with victim-blaming attitudes, and different levels of acceptance were found depending on gender. In conclusion, this study offers a valid and reliable instrument with which to analyse the sociocultural beliefs surrounding gender-based violence today, promoting the implementation of socio-educational interventions.

Indexed as

gender-based violencemyths about violencevalidationviolence against women

Identifiers

PMID39594393
PMCPMC11591386

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.