Trial-level direct-awareness data from Experiment 2 of Vadillo et al.
(2025). The object reproduces the source CSV file without filtering or
recoding and can be used as the direct input to usdt_data_tasks().
Format
A data frame with 6,656 rows, 104 participants, and 10 variables:
subjParticipant identifier.
fileOriginal participant file name.
trialTrial number.
pattIdPattern identifier.
judgmAwareness judgement on the original response scale.
judged.oldWhether the pattern was judged old (1) or new (0).
conditionWhether the pattern was old or new.
offsetSpatial-offset condition.
colorColour condition.
set.sizeSet-size condition.
Source
Vadillo, M. A., Malejka, S., & Shanks, D. R. (2025). Mapping the reliability multiverse of contextual cuing. Journal of Experimental Psychology: Learning, Memory, and Cognition. doi:10.1037/xlm0001410 . Data retrieved from https://osf.io/jp3gx/.
Examples
data(vadillo_awareness)
str(vadillo_awareness)
#> 'data.frame': 6656 obs. of 10 variables:
#> $ subj : int 2001 2001 2001 2001 2001 2001 2001 2001 2001 2001 ...
#> $ file : chr "y109b_subj1051.mat" "y109b_subj1051.mat" "y109b_subj1051.mat" "y109b_subj1051.mat" ...
#> $ trial : int 1 2 3 4 5 6 7 8 9 10 ...
#> $ pattId : int 1001 1002 3005 3006 3001 1006 3002 1007 3007 3008 ...
#> $ judgm : int 1 5 4 5 2 4 3 5 3 6 ...
#> $ judged.old: int 0 1 1 1 0 1 0 1 0 1 ...
#> $ condition : chr "old" "old" "new" "new" ...
#> $ offset : chr "no offset" "no offset" "offset" "offset" ...
#> $ color : chr "color" "b/w" "color" "b/w" ...
#> $ set.size : chr "set size 8" "set size 8" "set size 8" "set size 8" ...
