Abstract
GENERAL COMMENTARY article Front. Psychol., 24 November 2010Sec. Language Sciences https://doi.org/10.3389/fpsyg.2010.00200
Highlights
As noted by Seidenberg and Plaut (1998), to test the descriptive adequacy of simulation models with item-level databases, one needs to estimate the amount of error variance (i.e., sources of variance that are unspecific to item processing and that models cannot, in principle, capture) and, the amount of item variance that models should try to account for
As noted by Seidenberg and Plaut (1998), to test the descriptive adequacy of simulation models with item-level databases, one needs to estimate the amount of error variance and, the amount of item variance that models should try to account for
One can show that the expected value of such correlations has the form of an intraclass correlation coefficient (ICC): ρ = nq nq + 1 where ρ is the ICC, n is the number of participants per group, and q is the ratio of the item related variance on the noise variance for the considered database
Summary
As noted by Seidenberg and Plaut (1998), to test the descriptive adequacy of simulation models with item-level databases, one needs to estimate the amount of error variance (i.e., sources of variance that are unspecific to item processing and that models cannot, in principle, capture) and, the amount of item variance that models should try to account for. One way to address this issue is to create independent groups of participants from a single database, and to compute the correlation between the item performances averaged over participants in each group (Courrieu et al, in press; Rey et al, 2009).
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