Table 5.

Regression Models Looking at the Unique Contributions of Each Variable to grade point average (GPA).

Term	Regression Model		Age		SBPS		RSES			BSCS
F16	F(5, 2164) = 22.81 ***	R2 = 0.05	β = −0.07	t = −3.5 ***	β = −0.09	t = −3.5 ***		β = 0.01	t = 0.29		β = 0.15	t = 6.01 ***
W17	F(5, 1946) = 18.34 ***	R2 = 0.05	β = 0.03	t = 1.36 n.s	β = −0.04	t = −1.5 n.s		β = 0.01	t = 0.49 n.s		β = 0.18	t = 6.9 ***
S17	F(5, 168) = 2.37 *	R2 = 0.04	β = 0.05	t = 0.65 n.s	β = 0.04	t = 0.39 n.s		β = −0.02	t = −0.25 n.s		β = 0.27	t= 2.96 **
F17	F(5, 1752) = 21.54 ***	R2 = 0.06	β = −0.006	t = −0.25 n.s	β = −0.06	t = −2.16 *		β = 0.03	t = 0.95 n.s		β = 0.19	t = 6.77 ***
W18	F(5, 1865) = 18.97 ***	R2 = 0.05	β = −0.05	t = −2.24 *	β = −0.03	t = −0.85 n.s		β = 0.04	t = 1.27 n.s		β = 0.18	t = 6.89 ***
S18	F(5, 401) = 6.71 ***	R2 = 0.07	β = 0.03	t = 0.53 n.s	β = −0.21	t = −3.39 ***		β = −0.06	t = −1.09 n.s		β = 0.13	t = 2.27 *
F18	F(5, 1744) = 34.61 ***	R2 = 0.09	β = −0.21	t = −9.34 ***	β = −0.03	t = −0.97 n.s		β = 0.05	t = 1.89 n.s		β = 0.18	t = 6.59 ***

*** p < 0.001, ** p < 0.01, * p < 0.05; Gender was included in the models but is not reported here as it was non-significant in all terms.