Table 3.

Regression analysis (logistics or OLS) with graduation with a STEM degree, graduation within 6 yr with any degree, and graduation cumulative GPA as outcomes

		Graduation with STEM degree (n = 1624)			Graduation within 6 yr (n = 990)			Graduation cumulative GPA (n = 1510)
Step	Predicator	–2LL	Pseudo-R2	Δχ2(df)	–2LL	Pseudo-R2	Δχ2(df)	R2	ΔR2	ΔF(df)
1.	Controlsa	1653.38	0.183	217.79 (24)***	1012.38	0.113	77.37 (21)***	0.216	0.216	17.00 (24)***
2.	FRI courses	1545.68	0.266	107.70 (3)***	990.18	0.143	22.20 (3)***	0.228	0.013	8.02 (3)***
3.	Midpoint GPA							0.951	0.723	21,705.91 (1)***

–2LL = –2*log likelihood; pseudo-R² = Nagelkerke R² estimate of effect size; Δχ² = change in overall chi-square from the previous model.

^aThe list of control variables is described in the Methods section.

***p ≤ 0.001.