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. Author manuscript; available in PMC: 2015 Jan 1.
Published in final edited form as: J Mem Lang. 2014 Jan;70:36–52. doi: 10.1016/j.jml.2013.09.005

Table 1.

Data sets used in the fits

Data Set Source N Obs. Con. Variables
1 Criss (2010) Ex. 1 14 983.7 4 Item type (target, lure); Target
proportion (30%, 70%)
2 Criss (2010) Ex. 2 16 1520.3 8 Item type (target, lure); List strength
(strong, weak); Word frequency (high,
low)
3 SRW (2012) Mixed
and Pure-Within
98 208.9 4 Item type (target, lure); List strength
(strong, weak)
4 SRW (2012) Weak
Pure-Between
41 118.9 2 Item type (target, lure)
5 SRW (2012) Strong
Pure-Between
43 118.1 Item type (target, lure)
6 RTM (2004) Young 39 1357.3 18 Item type (weak target, strong target,
lure); Word frequency (high, low, very
low); Speed vs. accuracy emphasis
7 RTM (2004) Older 41 1766.8 18 (same as above)
8 RTM (2010) Young 43 794.6 6 Item type (weak target, strong target,
lure); Word frequency (high, low)
9 RTM (2010) Older 41 795.0 6 (same as above)

Notes: N = number of subjects; Obs. = average number of observations for each subject; Con. = number of conditions; SRW = Starns, Ratcliff, & White; RTM = Ratcliff, Thapar, & McKoon. Some subjects reported in the original papers were removed due to chance performance, including five subjects in Data Set 1, two from Data Set 8, and one from Data Set 9. An additional participant was removed from Data Set 9 because they had no errors for lure items in any condition (making it impossible to define the RT distributions).