Gendered Beliefs in STEM Undergraduates: A Comparative Analysis of Fuzzy Rating versus Likert Scales

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 easil...

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Bibliographic Details
Authors: Castaño Pérez, Ana María|||0000-0003-1659-7625, Lubiano Gómez, María Asunción|||0000-0002-9847-5164, García Izquierdo, Antonio León|||0000-0002-2515-3439
Format: article
Publication Date:2020
Country:España
Institution:Universidad de Oviedo (UNIOVI)
Repository:RUO. Repositorio Institucional de la Universidad de Oviedo
Language:English
OAI Identifier:oai:digibuo.uniovi.es:10651/56278
Online Access:http://hdl.handle.net/10651/56278
https://dx.doi.org/10.3390/su12156227
Access Level:Open access
Keyword:Fuzzy rating scale
Likert scale
Stereotypes measurement
Gender equality
STEM studies
Description
Summary: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.