Associative learning predicts intelligence above and beyond working memory and processing speed

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Opening up Openness to Experience: A Four-Factor Model and Relations to Creative Achievement in the Arts and Sciences. (2013, methodology): “…answer, they were presented with a word (e.g., DOG) to 1 Although three other papers have already been published using this dataset (Kaufman, 2009b; Kaufman et al., 2009, 2010), this paper is the only one that (a) focuses on the Openness/Intellect domain, (b) includes measures of creative…”
What is working memory capacity, and how can we measure it? (2013, methodology): “Keye et al. (2009, 2010) found no substantial relation between response inhibition in the Eriksen flanker task and also the Simon task and a latent WMC factor.”
When are fluid intelligence and working memory isomorphic and when are they not (2013, background): “Indeed, recent research has found that associative learning contributes to Gf independently from WMC (Kaufman et al., 2009; Tamez, Myerson, & Hale, 2008; Williams & Pearlberg, 2006), though the amount of variance accounted for by learning is not so impressive (e.g., 10% in Kaufman et al.'s study).”