Table 3.
ORs From Multilevel Logistic Regression Analyses Predicting Algebra Enrollment Among Students in Integrated Middle Schools
Model 1 | Model 2 | Model 3 | |
---|---|---|---|
Race (ref = White) | |||
Hispanic | 0.244*** (0.024) | 0.580*** (0.070) | 0.779 (0.140) |
Black | 0.238*** (0.025) | 0.354*** (0.041) | 0.793 (0.134) |
Seventh-grade academic background | |||
Mathematics grade | 3.599*** (0.330) | ||
Mathematics test | 5.704*** (0.596) | ||
Honors mathematics | 12.450*** (2.861) | ||
Student-level controls | |||
Free or reduced lunch | 0.609*** (0.060) | 0.706* (0.102) | |
Books at home | 1.582*** (0.075) | 1.340*** (0.091) | |
Female | 0.996 (0.082) | 0.826 (0.100) | |
LEP | 0.521*** (0.071) | 0.782 (0.155) | |
Cohort | 0.740*** (0.066) | 0.329*** (0.043) | |
School-level controls | |||
School size | 1.000 (0.000) | 1.000* (0.000) | |
School % free or reduced lunch | 1.013 (0.018) | 1.091*** (0.017) | |
Constant | 1.498* (0.245) | 0.279 (0.262) | 0.002*** (0.001) |
Note. N = 3,125 students and 5 schools. Standard errors are in parentheses. Results are from random effects models performed with StataMP melogit commands with students at Level 1 and schools at Level 2.
p < .001.
p < .01.
p < .05.