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. Author manuscript; available in PMC: 2024 Jan 19.
Published in final edited form as: J Res Math Educ. 2019 Nov;50(5):529–554. doi: 10.5951/jresematheduc.50.5.0529

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.