| Literature DB >> 35069346 |
Junnan Li1,2, Yanfen Liu1,2, Jingjing Song1,2.
Abstract
Individuals voluntarily internalize gender stereotypes and present personality characteristics and behaviors that conform to gender role requirements. The aim of the current study was to explore the reasons people internalize gender stereotypes. We conducted surveys with 317 college students in China to examine the relationship between gender self-stereotyping and life satisfaction. We also analyzed the mediating roles of relational self-esteem (RSE) and personal self-esteem (PSE) and the moderation role of gender. The results of path analysis showed that gender self-stereotyping directly affected life satisfaction and indirectly affected life satisfaction through RSE and PSE in a serial pattern; however, the serial mediation model was only significant in the male sample. Higher gender self-stereotyping was associated with male participants' higher level of RSE and PSE and further correlated with higher life satisfaction. This study addressed the questions: "What are the benefits of gender self-stereotyping?" and "What are the major barriers to counter-stereotyping?" The results enrich our understanding of these issues, especially relative to the collectivist culture in China, and may be used to create more effective interventions to help people break through the stereotypes.Entities:
Keywords: gender stereotype; life satisfaction; personal self-esteem; relational self-esteem; self-stereotyping
Year: 2022 PMID: 35069346 PMCID: PMC8777007 DOI: 10.3389/fpsyg.2021.769459
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Means, standard deviations, and Pearson’s correlations among all variables.
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|
| 1 | 2 | 3 | 4 | 5 | |
| 1 Self-stereotyping | 0.39 | 0.30 | 1 | ||||
| 2 PSE | 27.36 | 4.66 | 0.19 | 1 | |||
| 3 RSE | 25.39 | 4.18 | 0.17 | 0.63 | 1 | ||
| 4 Life satisfaction | 28.01 | 5.52 | 0.21 | 0.57 | 0.53 | 1 | |
| 5 Gender | 0.54 | 0.50 | 0.25 | 0.03 | –0.01 | –0.02 | 1 |
N = 317. **p < 0.01 and ***p < 0.001. Gender was a dummy variable, with male = 1 and female = 0. M (gender) referred to the proportion of male in all participants. The correlation coefficient between gender and self-stereotyping was positive indicating that the male has a higher level of self-stereotyping compared with female participants.
Regression results for the serial mediation model.
| Dependent variables | Independent variables |
|
|
| β |
|
| RSE | Self-stereotyping | 0.24 | 0.06 | 6.52 | 0.18 | 3.26 |
| Gender | –0.09 | –1.62 | ||||
| Age | –0.16 | −2.87 | ||||
| PSE | Self-stereotyping | 0.64 | 0.41 | 53.93 | 0.08 | 1.69 |
| RSE | 0.62 | 13.96 | ||||
| Gender | 0.02 | 0.50 | ||||
| Age | 0.04 | 0.93 | ||||
| Life satisfaction | Self-stereotyping | 0.62 | 0.38 | 38.06 | 0.10 | 2.18 |
| RSE | 0.27 | 4.56 | ||||
| PSE | 0.38 | 6.49 | ||||
| Gender | –0.06 | –1.23 | ||||
| Age | –0.02 | –0.44 |
* p < 0.05, ** p < 0.01, and *** p < 0.001.
Indirect effects and 95% CIs for the mediational model.
| Effect | Boot SE | Boot LLCI | Boot ULCI | |
| Direct effect | 0.10 | 0.05 | 0.01 | 0.19 |
| Total indirect effect | 0.12 | 0.03 | 0.06 | 0.19 |
| Indirect effect via RSE | 0.05 | 0.02 | 0.01 | 0.09 |
| Indirect effect via PSE | 0.03 | 0.02 | −0.01 | 0.06 |
| Serial indirect effect | 0.04 | 0.02 | 0.01 | 0.08 |