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. Author manuscript; available in PMC: 2017 May 1.
Published in final edited form as: J Pers Soc Psychol. 2016 May;110(5):635–659. doi: 10.1037/pspa0000049

Table 1.

Study 1A: Regression Analysis of Cumulative Post-intervention GPA

Regression

Model 1 Model 2

B β t (df) p B β t (df) p
Post-Intervention GPA
Condition .04 0.07 1.57 (1, 782) .118 .04 0.08 2.12 (1, 781) .034
Generational Status .11 −0.15 4.31 (1, 782) .000 .07 −0.09 3.10 (1, 781) .002
Condition × Generational Status .06 0.10 2.22 (1, 782) .027 .05 0.09 0.23 (1, 781) .013
Gender .09 −0.16 4.58 (1, 782) .000 .07 −0.19 4.42 (1, 781) .000
Year In School .01 −0.13 0.38 (1, 782) .704 .01 0.01 0.25 (1, 781) .800
Performance Covariate -- -- -- -- .30 0.55 18.65 (1, 781) .000

Note. Two sets of regressions examining effects on post-intervention GPA are presented here. Model 1 displays the in-text reported effects on post-intervention GPA. Model 2 shows these same effects but also includes a baseline covariate (a standardized composite measure of students’ prior semester GPA, ACT, and SAT) that was used in the Harackiewicz, Canning et al. (2014) original study.