Table 2 Results for regression models where age and gender, approaches to learning, and mathematics self-efficacy predict mathematics anxiety in STEM and social sciences student samples
Dependent variable: math anxiety | ||||||
|---|---|---|---|---|---|---|
Full sample | STEM sample | Social sciences sample | ||||
Predictors | Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 |
Intercept | 5.853* (2.562) | 20.756*** (1.888) | 5.274 (2.865) | 20.432*** (2.313) | 4.993 (4.716) | 21.688*** (3.206) |
Age | 0.086 (0.048) | 0.008 (0.032) | 0.147* (0.062) | −0.016 (0.045) | 0.007 (0.077) | 0.038 (0.047) |
Gender | 1.407** (0.510) | 1.207*** (0.335) | 1.927** (0.576) | 1.682*** (0.397) | 0.284 (0.995) | 0.271 (0.605) |
SAL | 0.183** (0.056) | 0.037 (0.038) | 0.179** (0.066) | 0.053 (0.047) | 0.185 (0.100) | 0.013 (0.062) |
DAL | −0.074 (0.064) | −0.036 (0.042) | −0.150* (0.072) | −0.065 (0.050) | 0.089 (0.126) | 0.018 (0.077) |
Student group | −0.628 (0.507) | 0.104 (0.335) | ||||
Math self-efficacy | −1.427*** (0.083) | −1.350*** (0.107) | −1.560*** (0.134) | |||
Model statistics | ||||||
N | 231 | 231 | 147 | 147 | 84 | 84 |
R2 | 0.116 | 0.622 | 0.183 | 0.615 | 0.046 | 0.652 |
Adjusted R2 | 0.097 | 0.612 | 0.160 | 0.601 | −0.002 | 0.630 |
Residual SE (df) | 3.584 (225) | 2.350 (224) | 3.338 (142) | 2.300 (141) | 3.945 (79) | 2.399 (78) |
F (df) | 5.927*** (5; 225) | 61.352*** (6; 224) | 7.968*** (4; 142) | 45.044*** (5; 141) | 0.961 (4; 79) | 29.205*** (5; 78) |