Table 3. Multiple regression modeling predicting student pre- and post-assessment MCI scores.
tpBβFdfpR2
MCI Pre
Overall model2.799760.0230.165
Gender (F)−0.940.349−2.195−0.106
Ethnicity (URM)−2.790.007−5.803−0.313
ACT0.850.3960.5280.106
GPA0.590.852.2890.074
Lecture section (A)0.500.6190.9450.056
MCI Post
Overall model8.43376<0.00010.420
Gender (F)−0.630.053−0.120−0.060
Ethnicity (URM)−0.170.865−0.030−0.017
ACT3.610.00060.1810.378
GPA3.090.00290.9670.327
Lecture section (A)0.740.4630.1130.070
MCI pre score0.930.3530.1120.093

Notes: Significant predictors are in bold. Ethnicity was coded as under-represented minority (URM) or non-URM. ACT is comprehensive ACT score. GPA is the student's university GPA at the beginning of the term (spring semester, first year). Lecture section was coded as A (sock modeling) or B (pipe-cleaner modeling).