TABLE 3.

Hierarchical logistic regression model statistics at each step for models testing whether UMARL influenced 1) student engagement in research by acquiring research course credits, 2) graduating with a STEM degree, and student achievement reflected by 3) graduating in 4 or fewer years, and 4) graduating with honors

Outcome variable	Step	Predictora	−2LLb	Pseudo-R2	χ2 c
Acquired research course credits	1	Control	1076.060	0.062	57.142
	2	Group	1067.836	0.098	65.366
Graduation with a STEM degree	1	Control	956.469	0.139	89.666
	2	Group	948.889	0.150	97.246
Graduation in four or fewer years	1	Control	1328.678	0.109	89.625
	2	Group	1317.644	0.122	100.658
Graduation with honors	1	Control	1013.412	0.215	151.939
	2	Group	1001.247	0.231	164.103

^aControl step includes variables as described in the Statistical Analyses section.

^b−2LL = −2*log likelihood; pseudo-R² = Nagelkerke R² estimate of effect size; χ² = chi-square value from omnibus tests of model coefficients.

^cAll reported χ² values in the table are significant at p ≤ 0.0001.