Appendix B: Selection of the Comparison Group via Logistic Regression The logistic regression to create the comparison group indicated the overall model fit was statistically reliable (x2(12) = 123.928, p< .001). The model correctly classified 80% of cases. The logistic regression coefficients for the eight predictors used to generate the comparison group are presented in Table A. Table A. Logistic Regression to Generate the Comparison Group B First-generation status
Wald
df
sign.
Odds Ratio
-1.284
39.905
1
.000
.277
-.803
13.205
1
.000
.448
.000
4.517
1
.034
1.000
Sex
-.456
5.370
1
.020
.634
Age
.617
19.614
1
.000
1.854
State Residency
-1.661
13.142
1
.000
.190
Race or Ethnicity
-1.263
11.524
1
.001
.283
Asian
-1.799
22.175
1
.000
.166
Black
-1.763
37.379
1
.000
.171
Latinx
-1.214
.881
1
.348
.297
.106
.058
1
.810
1.112
-.593
5.417
1
.020
.553
High School GPA
-5.491
4.392
1
.036
.004
Constant
-1.284
39.905
1
.000
.277
Pell eligibility Family Income (EFC)
Native American Multi-ethnic
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