VisualArray: Working memory visual array change detection responses
In WMCapacity: GUI implementing Bayesian working memory models

Description Usage Format Details Source Examples

This dataset contains the (cleaned) data which was analyzed in Rouder, Morey, Cowan, Zwilling, Morey, and Pratte (2008).

1	data(VisualArray)

A data frame with 12345 observations on the following 36 variables.

sub: the subject number
blk: the block number
trl: the trial number within a block
prch: the log-odds of a change trial within that block
N: the visual array set size
ischange: whether the array changed or not (1=changed)
resp: whether the participant responded “change” (1=changed)
RT: the response time
probesq: which square number was probed
newcol: the color of the probed square
c1: the color of square 1
x1: the x location of square 1
y1: the y location of square 1
c2: the color of square 2
x2: the x location of square 2
y2: the y location of square 2
c3: the color of square 3
x3: the x location of square 3
y3: the y location of square 3
c4: the color of square 4
x4: the x location of square 4
y4: the y location of square 4
c5: the color of square 5
x5: the x location of square 5
y5: the y location of square 5
c6: the color of square 6
x6: the x location of square 6
y6: the y location of square 6
c7: the color of square 7
x7: the x location of square 7
y7: the y location of square 7
c8: the color of square 8
x8: the x location of square 8
y8: the y location of square 8
cor: whether the participant was correct or not
oldcol: the color of the probed square in the study array

Each trial consisted of a presentation of N colored squares in an array, followed by a mask, and then a single square. The square was either the same color or a different color than the one in the same location in the first array. The participant responded “change” if they believed the square was different.

Rouder, J. N., Morey, R. D., Cowan, N., Zwilling, C. E., Morey, C. C. & Pratte, M. S. (2008). An Assessment of Fixed-Capacity Models of Visual Working Memory. Proceedings of the National Academy of Sciences, 105, 5976-5979.

data(VisualArray)
## Aggregated hit and false alarm rates
tapply(VisualArray$resp,list(VisualArray$ischange,
       VisualArray$N,VisualArray$prch),mean)