Table 2.
Basic interest scale | k | N | d | SE | Lower 95%CI | Upper 95%CI | Lower 90%CV | Upper 90%CV | QW | p |
---|---|---|---|---|---|---|---|---|---|---|
Physical Sciences | 15 | 57,669 | 0.56 | 0.06 | 0.43 | 0.69 | 0.09 | 1.03 | 16.84 | 0.26 |
Natural Sciences | 6 | 15,436 | 0.41 | 0.11 | 0.21 | 0.62 | 0.17 | 0.66 | 1.66 | 0.89 |
Biological Science | 3 | 4,500 | 0.19 | 0.15 | −0.11 | 0.48 | 0.10 | 0.27 | 0.08 | 0.96 |
Medical Science | 16 | 98,919 | −0.04 | 0.06 | −0.17 | 0.08 | −0.28 | 0.20 | 4.74 | 0.99 |
Social Sciences | 10 | 98,022 | −0.33 | 0.08 | −0.49 | −0.17 | −0.63 | −0.03 | 4.62 | 0.87 |
Science Technicians | 5 | 23,846 | 0.14 | 0.12 | −0.09 | 0.37 | 0.01 | 0.27 | 0.37 | 0.98 |
Medical Services | 26 | 193,130 | −0.40 | 0.05 | −0.50 | −0.30 | −0.77 | −0.03 | 18.84 | 0.80 |
Engineering | 22 | 355,531 | 0.83 | 0.06 | 0.72 | 0.94 | 0.29 | 1.36 | 32.88 | 0.05 |
Engineering Technicians | 8 | 49,322 | 0.89 | 0.10 | 0.71 | 1.08 | 0.64 | 1.15 | 2.59 | 0.92 |
Mechanics and Electronics | 31 | 255,508 | 1.21 | 0.05 | 1.12 | 1.30 | 0.50 | 1.92 | 78.15 | 0.00 |
Computer Science | 1 | 2,250 | 0.38 | − | − | − | − | − | − | − |
Mathematics | 9 | 33,042 | 0.38 | 0.09 | 0.21 | 0.55 | 0.17 | 0.59 | 1.95 | 0.98 |
Applied Mathematics | 26 | 122,826 | 0.23 | 0.06 | 0.11 | 0.35 | −0.07 | 0.53 | 7.70 | 0.94 |
Within-field heterogeneity (QW): | 170.42 (df = 155) | 0.19 | ||||||||
Between-field heterogeneity (QB): | 776.45 (df = 12) | 0.00 | ||||||||
Total heterogeneity (QT): | 946.88 (df = 167) | 0.00 |
k, Number of effect sizes; N, number of respondents; d, inverse variance weighted effect sizes, a positive d-value indicates gender difference favoring men and a negative d-value indicates gender difference favoring women; SE, standard error for d; CI, confidence interval; CV, credibility value; Q, heterogeneity statistic; p, probability of significance value associated with the Q statistic; bolded confidence intervals and credibility values indicate that 0 is not included within the interval; bolded Q statistic and corresponding p-value indicate that there was significant total heterogeneity between studies and significant heterogeneity among the effect sizes across STEM fields.