scholarly journals Gender stereotypes in occupational choice: a cross-sectional study on a group of Italian adolescents [Erratum]

2017 ◽  
Vol Volume 10 ◽  
pp. 155-156
Author(s):  
Tiziana Ramaci ◽  
Monica Pellerone ◽  
Caterina Ledda ◽  
Giovambattista Presti ◽  
Valeria Squatrito ◽  
...  
2017 ◽  
Vol Volume 10 ◽  
pp. 109-117 ◽  
Author(s):  
Tiziana Ramaci ◽  
Monica Pellerone ◽  
Caterina Ledda ◽  
Giovambattista Presti ◽  
Valeria Squatrito ◽  
...  

2020 ◽  
Vol 12 (15) ◽  
pp. 6227
Author(s):  
Ana M. Castaño ◽  
M. Asunción Lubiano ◽  
Antonio L. García-Izquierdo

Women are underrepresented in growing positions such as those related to STEM field careers (i.e., science, technology, engineering, and mathematics). One of the causes for remaining out of that field could lie on gender stereotypes. Undergraduate stereotypes and beliefs are important as could easily uphold future gender segregation at the workplace. In the research arena the measurement of those biased beliefs is important as most commonly used Likert scales (LS) could raise problems in terms of accuracy. As fuzzy rating scales (FRS) are a promising measurement alternative, the aim of this study is to compare the properties of FRS against LS. We conducted a cross-sectional study with 262 STEM and non-STEM participants who answered to a questionnaire that, besides gendered beliefs and injustice perception towards the situation of women at the workplace, included personal characteristics as coursed degree and working experience. Results pointed out, on one hand, that FRS allowed for a better capture of the variability of individual responses, but on the other hand, that LS were better valued than FRS in what is concerned with satisfaction and ease of response. Advantages of FRS for psychosocial measurement are discussed to facilitate the study around causes of segregation that excludes women from the STEM labour market.


PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0262324
Author(s):  
Fabrizio Bert ◽  
Edoardo Boietti ◽  
Stefano Rousset ◽  
Erika Pompili ◽  
Eleonora Franzini Tibaldeo ◽  
...  

Gender medicine is crucial to reduce health inequalities. Knowledge about students’ attitudes and beliefs regarding men, women and gender is important to improve gender medicine courses. The aim of this study is to evaluate gender stereotypes and its predictors in Italian medical students. We performed an online cross-sectional study among students from the University of Turin. We used the validated Nijmegen Gender Awareness Scale in Medicine scale to explore gender sensitivity and stereotypes. Multivariable logistic regression model was performed to explore potential predictors of gender awareness. We enrolled 430 students. Female sex, a better knowledge on gender medicine and having had a tutor aware of gender issues are associated with higher gender sensitivity. Older age, a better knowledge on gender medicine and having had a tutor sensitive to gender issues were predictors of more stereotyped opinions towards patients. Having had a tutor aware of gender medicine, male sex and older age were associated with more stereotypes towards doctors. Italian students have high gender sensitivity and low gender stereotypes. Age, higher knowledge of gender medicine and having had a tutor that considered gender were associated with higher gender stereotypes. Focusing on gender awareness in medical schools can contribute to a better care.


Author(s):  
Nirosha Elsem Varghese ◽  
Eugenio Santoro ◽  
Alessandra Lugo ◽  
Juan J Madrid-Valero ◽  
Simone Ghislandi ◽  
...  

2015 ◽  
Vol 16 (S1) ◽  
Author(s):  
Erika Maffioletti ◽  
Federica Ferro ◽  
Ennio Pucci ◽  
Marco Giovanni Persico ◽  
Silvia Molteni ◽  
...  

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