Language processing and episodic memory predict first-year GPA in older university learners¶

Claim · All claims
Evidence · 1 study · associational r2 · q2 · i2 medium
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i2 Language processing is the strongest significant predictor of GPA in the final regression model (β = 0.208, p < 0.001, sr² = 0.034). → Imlach 2017 q2 i2 Episodic memory significantly predicts GPA in the final regression model (β = 0.164, p = 0.003, sr² = 0.022). → 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 · i2 · associational · r2

Hierarchical multiple linear regression on the full THBP sample (N = 329) predicting first-year GPA. In step 2, language processing showed β = 0.208, p < 0.001, sr² = 0.034 and episodic memory β = 0.164, p = 0.003, sr² = 0.022, confirming "language processing, LEQ midlife non-speci fic activities, episodic memory, and years of prior education" as significant predictors.

"The final significant predictors of GPA, in order of strength of association, were language processing, LEQ midlife non-speci fic activities, episodic memory, and years of prior education (Fig. 1)."

Discussion¶

Learner Variables¶

• Long-Term Memory — predictor: learners who differ on it differ in outcomes

Related Claims¶

• Midlife engagement in cognitively stimulating non-specific activities predicts GPA in older learners — related
• Working memory predicts GPA in the initial model but not the final full-sample model — related
• Years of prior education significantly predict GPA in older learners — related
• Full-scale IQ does not predict GPA in older learners — reports the opposite