Research Questions 1–3: Predicting STEM Major Selection | |||||||
---|---|---|---|---|---|---|---|
 | Gender X2 = 438.7, p < 0.001 | Race X2 = 301.2, p < 0.001 | |||||
Boys | Girls | Asian | Black | Latina/o/x | Multiple/Other | White | |
STEM | 1680 | 980 | 500 | 170 | 310 | 230 | 1440 |
32.0% | 15.5% | 42.5% | 16.2% | 19.5% | 22.3% | 21.6% | |
Non-STEM | 3560 | 5340 | 680 | 890 | 1280 | 820 | 5230 |
68.0% | 84.5% | 57.5% | 83.8% | 80.5% | 77.7% | 78.4% | |
Total | 5240 | 6320 | 1180 | 1060 | 1590 | 1050 | 6670 |
Research Question 4: Predicting Computing/Engineering vs. Other Sciences | |||||||
---|---|---|---|---|---|---|---|
 | Gender X2 = 375.9, p < 0.001 | Race X2 = 12.8, p < 0.01 | |||||
Boys | Girls | Asian | Black | Latina/o/x | Multiple/Other | White | |
Computing/Engineering | 1130 | 280 | 250 | 90 | 170 | 100 | 790 |
67.5% | 28.6% | 50.4% | 51.5% | 56.5% | 44.0% | 55.0% | |
Social/Behavioral, Natural, and Other Sciences | 550 | 700 | 250 | 80 | 140 | 130 | 650 |
32.5% | 71.4% | 49.6% | 48.6% | 43.6% | 56.0% | 45.0% | |
Total | 1680 | 980 | 500 | 170 | 310 | 230 | 1440 |