Table 1.
Effects of gender on each of the four gradCPT variables.
Fig 1.
Gender differences in each of the four gradCPT variables across the lifespan.
Error bars show 95% confidence interval, N = 11,612 men and 9,872 women, N > 40 in each age bin.
Table 2.
Sociocultural country indices examined in the current study.
Table 3.
Effects of sociocultural conditions on average (men and women together) gradCPT performance.
Table 4.
Gender*sociocultural interactions in gradCPT performance.
Fig 2.
Gender differences in age corrected error rates in low and high gender equality conditions.
Error bars show standard error. Low and high equality were defined as the countries in the bottom and top quintile of our sample according to the United Nations’s Gender Inequality Index. N = 8 countries per quintile, low equality N = 2,066 (Egypt, India, Pakistan, Bangladesh, Indonesia, South Africa, Brazil, Phillippines) high equality N = 1,657 (Germany, Sweden, Denmark, Netherlands, Italy, Norway, Belgium, Finland).
Fig 3.
Gender difference in omission and commission error rate versus three sociocultural indices.
Social Institutions and Gender Index (SIGI), Human Development Index (HDI), and female/male ratio of labor force participation. Residualized gender difference is average women’s age-corrected score minus average men’s age-corrected score. A negative gender difference indicates that men made more errors than women; a positive gender difference indicates that women made more errors than men. Circle area reflects the number of participants from that country, N = 16,552 people, 40 countries. Linear trendline calculated using unweighted country averages. *indicates significance after FDR correction.
Table 5.
Pearson correlation coefficients and corresponding p-values for relationships between sociocultural indices and gradCPT gender differences (women—men).