Male = Science, Female = Humanities: Both Implicit and Explicit Gender-Science Stereotypes Are Heritable

被引:10
|
作者
Cai, Huajian [1 ]
Luo, Yu L. L. [1 ]
Shi, Yuanyuan [1 ,2 ]
Liu, Yunzhi [1 ,2 ]
Yang, Ziyan [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, 16 Lincui Rd, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
stereotype; gender-science stereotype; behavior genetics; twins; implicit social cognition; ASSOCIATION TEST; SELF-ESTEEM; ATTITUDES; ENVIRONMENT; MATHEMATICS; COGNITION; THREAT; TWIN;
D O I
10.1177/1948550615627367
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The gender-science stereotype of associating males, rather than females, with science is pervasive and influential. The present study challenged the common-sense assumption that it is environment that leads to the gender-science stereotype by conducting a genetically informative study. A total of 304 pairs of twins (152 monozygotic [MZ] and 152 dizygotic [DZ]) completed explicit and implicit gender-science stereotype measures twice across 2 years. Results showed that both explicit and implicit gender-science stereotypes were heritable, with significant nonshared environmental influence. Moreover, genetic and nonshared environmental factors influencing the explicit gender-science stereotype also affected the implicit gender-science stereotype to some extent. These findings have important implications for understanding the nature of the gender-science stereotype and implicit social cognition.
引用
收藏
页码:412 / 419
页数:8
相关论文
共 50 条
  • [31] Using the Implicit Relational Assessment Procedure (IRAP) to Examine Implicit Gender Stereotypes in Science, Technology, Engineering and Maths (STEM)
    Fleming, Katie
    Foody, Mairead
    Murphy, Carol
    PSYCHOLOGICAL RECORD, 2020, 70 (03): : 459 - 469
  • [32] Using the Implicit Relational Assessment Procedure (IRAP) to Examine Implicit Gender Stereotypes in Science, Technology, Engineering and Maths (STEM)
    Katie Fleming
    Mairead Foody
    Carol Murphy
    The Psychological Record, 2020, 70 : 459 - 469
  • [33] Science, stereotypes and gender: a review of the explanatory frameworks
    Vazquez-Cupeiro, Susana
    CONVERGENCIA-REVISTA DE CIENCIAS SOCIALES, 2015, 22 (68): : 177 - 202
  • [34] Stereotypes About Gender and Science: Women ≠ Scientists
    Carli, Linda L.
    Alawa, Laila
    Lee, YoonAh
    Zhao, Bei
    Kim, Elaine
    PSYCHOLOGY OF WOMEN QUARTERLY, 2016, 40 (02) : 244 - 260
  • [35] Implicit and explicit behavioral tendencies in male and female depression
    Seidel, Eva-Maria
    Habel, Ute
    Finkelmeyer, Andreas
    Schneider, Frank
    Gur, Ruben C.
    Derntl, Birgit
    PSYCHIATRY RESEARCH, 2010, 177 (1-2) : 124 - 130
  • [36] Shot By Both Sides: Art-Science And The War Between Science And The Humanities
    Galanter, Philip
    ARTNODES, 2011, (11): : 33 - 38
  • [37] Science and Math Interest and Gender Stereotypes: The Role of Educator Gender in Informal Science Learning Sites
    McGuire, Luke
    Monzavi, Tina
    Hoffman, Adam J.
    Law, Fidelia
    Irvin, Matthew J.
    Winterbottom, Mark
    Hartstone-Rose, Adam
    Rutland, Adam
    Burns, Karen P.
    Butler, Laurence
    Drews, Marc
    Fields, Grace E.
    Mulvey, Kelly Lynn
    FRONTIERS IN PSYCHOLOGY, 2021, 12
  • [38] Gender Stereotypes Differ between Male and Female Writings
    Qian, Yusu
    57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019:): STUDENT RESEARCH WORKSHOP, 2019, : 48 - 53
  • [39] Do gender–science stereotypes predict science identification and science career aspirations among undergraduate science majors?
    Jessica L. Cundiff
    Theresa K. Vescio
    Eric Loken
    Lawrence Lo
    Social Psychology of Education, 2013, 16 : 541 - 554
  • [40] Advertising in the Male and Female Magazines: A Reflection of Gender Stereotypes
    Marin Murillo, Flora
    Armentia Vizuete, Jose Ignacio
    Ganzabal Learreta, Maria
    DOXA COMUNICACION, 2010, (10): : 35 - 56