| Literature DB >> 34948661 |
Yi Chung1,2, Hsin-Hui Huang2.
Abstract
Despite the growing recognition of gender equality worldwide, plausible strategies that reduce young children's gender stereotypes remain limited. Cognitive-based interventions have been widely used in school settings and have been suggested to play important roles in children's gender stereotyping and in their processing of counter-stereotypic information. We aimed to determine whether exposure to counter-stereotypical information could break gender stereotypes in kindergarten children. Fifty-four children (61-79 months old) from two public kindergarten classes in northern Taiwan participated in this study. One of the two classes was randomly selected as the experimental group (n = 28), and the other was the control group (n = 26). The experimental group consisted of a gender equality curriculum including script relationship training for two months, while the control group continued their regular curriculum. The picture classification task (PCT) was measured before and after the intervention to assess gender stereotypes. Before interventions, 87.50% of the children chose a gender stereotypic relationship, while 12.50% chose script/other relationships in PCT. After the interventions, the gender stereotypic relationship dropped to 73.22% in the experimental group. Children in the control group were more likely to maintain their gender stereotypic relationship choices in PCTs. Our findings suggest that cognitive-based interventions, such as a gender equality curriculum, have the potential to break gender stereotypes in kindergarten children.Entities:
Keywords: children; cross-classification; gender equality; gender stereotype; multiple conceptual systems
Mesh:
Year: 2021 PMID: 34948661 PMCID: PMC8700911 DOI: 10.3390/ijerph182413052
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Content of pictures in the classification task.
| Set | Target | Stimulus A | Stimulus B | Script Relationship |
|---|---|---|---|---|
| 1 | Long hair | Skirt | Trousers | Window shopping |
| 2 | Short hair | Razor | Lipstick | Supermarket |
| 3 | Doll | Bow tie | Tie | Tie up |
| 4 | Soldier | Toy car | Toy kitchen | Toy shop |
| 5 | Boy | Robot | Doll | Toy shop |
| 6 | Girl | Broom | Heavy box | Household |
| 7 | Little baby | Mother | Father | Family |
| 8 | Hammer | Father | Mother | Family |
Figure 1The scoring protocol of the picture classification task. Matching the target and stimulus A picture scores 1 point in a “gender stereotypic relationship”; matching stimulus A and B scores 1 point in a “script relationship”; and matching target and stimulus B scores 1 point in “other relationships”.
Participant characteristics.
| Control Group | Experimental Group | ||
|---|---|---|---|
| Gender | >0.05 | ||
| Boy | 14 (53.85%) | 16(57.14%) | |
| Girl | 12 (46.15%) | 12(42.85%) | |
| Age by months | 72.04 (61–78) | 72.71 (63–79) | >0.05 |
| Parent education | |||
| Father | >0.05 | ||
| Above junior college | 17 (65.4%) | 16 (57.1%) | |
| Below junior college | 9 (34.6%) | 12 (42.9%) | |
| Mother | >0.05 | ||
| Above junior college | 11 (42.3%) | 13 (46.4%) | |
| Below junior college | 15 (57.7%) | 15 (53.6%) | |
| Parent job | |||
| Father | >0.05 | ||
| White-collar professionals | 14 (53.8%) | 14 (50%) | |
| Blue-collar workers | 12 (46.2%) | 14 (50%) | |
| Mother | >0.05 | ||
| White-collar professionals | 7 (26.9%) | 9 (32.1%) | |
| Blue-collar workers | 19 (73.1%) | 19 (67.9%) |
The test of homogeneity for classification choice before intervention.
| Variables | Gender Stereotype | Script Relationship | Other Relationships |
|
|---|---|---|---|---|
| Girl ( | 179 (93.23%) | 7 (3.65%) | 6 (3.13%) | 11.31 ** |
| boy ( | 199 (82.92%) | 29 (12.08%) | 12 (5.00%) | |
| Total ( | 378 (87.50%) | 36 (8.33%) | 18 (4.17%) |
** p < 0.01.
The test of homogeneity for classification choice after intervention.
| Variables | Gender Stereotype | Script Relationship | Other Relationships |
|
|---|---|---|---|---|
| Experimental ( | 164 (73.21%) | 23 (10.27%) | 37 (16.52%) | 45.67 *** |
| Control ( | 200 (96.15%) | 7 (3.37%) | 1 (0.48%) | |
| Total ( | 364 (84.25%) | 30 (6.94%) | 38 (8.80%) |
*** p < 0.001.