Gender Differences in Creative Potential: A Meta-Analysis of Mean Differences and Variability

被引:0
|
作者
Alabbasi, Ahmed M. Abdulla [1 ]
Thompson, Taylor L. [2 ]
Runco, Mark A. [3 ]
Alansari, Layya A. [4 ]
Ayoub, Alaa Eldin A. [1 ]
机构
[1] Arabian Gulf Univ, Dept Gifted Educ, POB 26671, Manama, Bahrain
[2] Florida State Univ, Coll Educ, Tallahassee, FL USA
[3] Southern Oregon Univ, Creat Res & Programming, Ashland, OR USA
[4] Minist Educ, Manama, Bahrain
关键词
gender difference; divergent thinking; meta-analysis of variability; greater male variability hypothesis; multilevel meta-analysis; GREATER MALE VARIABILITY; DIVERGENT THINKING; SEX-DIFFERENCES; INTELLECTUAL ABILITIES; UNIVERSITY-STUDENTS; MAINLAND CHINA; PERFORMANCE; HYPOTHESIS; VARIABLES; CULTURE;
D O I
暂无
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
The current study examined gender differences in divergent thinking (DT) using meta-analyses of mean difference and variation. The main objective of the meta-analysis of mean difference was to resolve contradictory findings in the creativity literature regarding the prevalence of creativity among males or females in creative potential. The meta-analysis of variation aimed to test the greater male variability hypothesis (GMVH) in DT. To test gender differences in means (i.e., Hedges' g), results from 213 studies (k = 1,251; N = 115,289) were analyzed using a three-level approach. Females slightly outperformed males in DT, g = -.065, 95% CI [-.095, -.034], p = <= .001. Three-level multiple regression analyses showed that the mean effect size significantly varied by (a) country, (b) DT subscale, (c) type of task, and (d) ability (gifted vs. nongifted). In the second meta-analysis, the GMVH in creative potential was tested by synthesizing the results of 1,152 effect sizes from 187 studies (k = 1,152; N = 101,328). The results confirmed the existence of greater male variability (GMV) in DT, (InVR) = 1.216, 95% CI [1.14, 1.29], p <= .001, indicating 21.6% GMV in DT. Multiple regression analyses explained 29.82% of variability in the mean effect (InVR) at Level-2 (within-studies variance), and 5% of the variability in the mean effect at Level-3 (between-studies variance). The mean difference findings support the gender similarity hypothesis, while variation results tend to support the gender differences hypothesis. Limitations and recommendations for future studies are discussed.
引用
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页码:87 / 100
页数:14
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