Four conditions from Koehne, Trueswell, & Gleitman (2013), Multiple proposal memory in observational word learning, Proceedings of the 35th Annual Conference of the Cognitive Science Society: 8 words, 1 word and 4 objects per trial, each word with one referent present whenever it is heard and one present half the time; the order of trials with (P) and without (A) the 50% referent is blocked (AAAPPP, PPPAAA) or alternating (APAPAP, PAPAPA).
Format
A named list of 4 xslData objects, one per condition.
Details
Only each condition's reported mean accuracy is available (no per-item or
per-participant data), so accuracy is that mean replicated across items.
Held out of xsl_datasets (see xsl_holdout_datasets), as in the original
bake-off: use it to test whether a model fit elsewhere generalizes, by
comparing its mean predicted accuracy with the reported mean.
Examples
sapply(koehne2013, \(d) d$accuracy[1])
#> Koehne2013-aaappp Koehne2013-apapap Koehne2013-papapa Koehne2013-pppaaa
#> 0.1795 0.2305 0.2305 0.3215