Evidence map›Paper›PMID 40001861›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Analysis of the Development of Gender Stereotypes and Sexist Attitudes Within a Group of Italian High School Students and Teachers: A Grounded Theory Investigation.

Francesco Sulla, Barbara Agueli, Andreana Lavanga, Maria Grazia Mada Logrieco, Stefania Fantinelli, Ciro Esposito

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. 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

6 authors.

Francesco SullaDepartment of Humanities, University of Foggia, 71122 Foggia, Italy.ORCID 0000-0002-0871-4943
Barbara AgueliDepartment of Humanities, University of Foggia, 71122 Foggia, Italy.ORCID 0000-0002-0573-4551
Andreana LavangaDepartment of Humanities, University of Foggia, 71122 Foggia, Italy.ORCID 0009-0008-4019-6753
Maria Grazia Mada LogriecoDepartment of Humanities, University of Foggia, 71122 Foggia, Italy.
Stefania FantinelliDepartment of Theoretical and Applied Sciences, eCampus University, 22060 Novedrate, Italy.
Ciro EspositoDepartment of Humanities, University of Foggia, 71122 Foggia, Italy.ORCID 0000-0003-2440-4336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gender stereotypes and sexist attitudes continue to persist in educational settings, with significant implications for students' achievement and well-being. This study aimed to investigate the development of gender stereotypes and sexist attitudes among Italian high school students and trainee teachers. A series of focus groups were conducted with a group of Italian school students and trainee teachers to uncover the complex interplay of individual, interpersonal, institutional, and societal factors that contribute to the formation and perpetuation of these biases. Analysis was conducted using a grounded theory approach. The findings reveal a nuanced and multifaceted understanding of the issue, highlighting the critical role of teacher attitudes, peer influence, and broader cultural norms in shaping students' perceptions and behaviors. This study offers insights for educators, policymakers, and researchers seeking to address gender inequities in education and promote more inclusive and equitable learning environments.

Indexed as

adolescentsfocus groupsgender stereotypesGrounded Theory Methodologysexismtrainee teachers

Identifiers

PMID40001861
PMCPMC11852039

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.