Combining two input recording images together to form mean accuracy

[Daniel]

Hey,

I have programmed a stop-signal paradigm and the only way I could
figure out how to have a left red arrow (STOP) appear after a left
green arrow and a right red arrow appear after a right green arrow was
to have two difference procedures. Total I have 3 procedures. One
presents a green arrow and the person responds to the direction of the
arrow. The second procedure a green left arrow appears and after a
designated period of time this arrow turns red, if the arrow turns red
the person must withhold a response. This is the same for the right
green/red arrow, which is the third procedure. Of course they are all
randomized so there is a 70% chance a green arrow will appear and stay
green, 15% chance for a left green to appear and turn red, 15% chance
for a right green to appear and turn red.

I would like to have feedback displays after every block, that only
reports the specific data for that block, and I know how to set this
up. My question itself regards collapsing across right and left stop
accuracies. I would like to combine procedure 2 and 3 to report their
combined accuracy.

My other question pertains to the E-dataid file. I am curious if there
is a way to combine all three procedures to report their reaction
times for each trial under one column. Instead of a separate column
for each (and a lot of NULL entries). Note: I have to have seperate
names for the images the record the responses since two of them have
specific images that must be presented. I know I can do this when I
create a syntax file to strip them down and recombine them in to spss.
But, it would be easier to have it already done for me.

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