Ordinal adequacy test for simulations of shin92 CIRP
Tests whether a model output passes the ordinal adequacy criterion for
Matrix containing model output. The matrix must have the
same format, row order, and column names, as that returned by
eXTenDed Output: Either
This function implements the Wills et al. (2016) ordinal adequacy
test for the
shin92 CIRP. Specifically, a model passes
this test if response accuracy is higher for novel items from the
size-10 condition than novel items from the size-3 condition.
Alternatively, by setting
TRUE, this function
returns the summary model predictions reported by Wills et al. (2016).
xtdo=FALSE, this function returns TRUE if the ordinal
adequacy test is passed, and FALSE otherwise.
xtdo=TRUE, this function returns a summary matrix. The rows
are the two category sizes, the columns are the three principal stimulus
types (old, prototype, new), and the values are predicted accuracy
Andy Wills and Garret O'Connell
Shin, H.J. & Nosofsky, R.M. (1992). Similarity-scaling studies of dot-pattern classification and recognition. Journal of Experimental Psychology: General, 121, 278–304.
Wills, A.J., O'Connell, G., Edmunds, C.E.R. & Inkster, A.B. (2016). Progress in modeling through distributed collaboration: Concepts, tools, and category-learning examples. The Psychology of Learning and Motivation.