No GPA difference between male and female older learners, or across faculties¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? GPA did not differ between males and females (F(1,332) = 0.292, p = 0.589) or across faculty enrolment (F(2,331) = 0.431, p = 0.650). → Imlach 2017
Evidence¶
Imlach 2017¶
Imlach, A.-R., Ward, D. D., Stuart, K. E., Summers, M. J., Valenzuela, M. J., King, A. E., Saunders, N. L., Summers, J., Srikanth, V. K., Robinson, A. & Vickers, J. C. (2017). Age is no barrier: predictors of academic success in older learners. npj Science of Learning 2:13. https://doi.org/10.1038/s41539-017-0014-5
q2 · i? · associational · r2
One-way ANOVAs on the full sample compared GPA by sex and by faculty enrolment (arts, science, other). Neither test was significant; the faculty ANOVA gave F(2,331) = 0.431, p = 0.650. No effect sizes are printed for these comparisons.
"there was no difference in GPA score ( F(1,332) = 0.292, p = 0.589) between males (M = 5.63, SD = 1.03) and females (M = 5.57, SD = 0.94)"
Discussion¶
Learner Variables¶
- Gender — predictor: outcomes differ by group: a gap reflecting circumstances and treatment, not a cause
Related Claims¶
- Change in anxiety across the semester is negatively correlated with course grade and GPA for male students but not female students — related
- No statistically significant gender differences in perceived learning outcomes across any dimension among higher vocational students — related
- Female students had higher math course grades than male students, with no interactions between gender, math anxiety, and intervention group — related
- No significant gender differences were found on any model variable — a broader claim this one bears on
- Student personal and educational characteristics (gender, age, grade, GPA, courses taken, SAE type) were descriptively profiled for the 102 participants in the two groups — related
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