setting two different conditions for the experiment as a part of the initial script

David Vinson d.vinson at ucl.ac.uk
Mon Sep 15 09:37:09 UTC 2014


Hi Kelsey,

You should be able to tell which trialproc a subject was in: if you 
designate this in a top-level List it will appear as Procedure[Block] in 
the .edat2 file.

As you describe it, Group is redundant, possibly subject to user error 
(if you mis-key Group it has no effect on the condition run) and less 
informative than Procedure[Block] which has a descriptive name rather 
than just values of 1/2.

An alternative is to keep Group in your startup and use it rather than 
Subject for counterbalancing.

best,
DavidV


On 12/09/2014 20:45, Kelsey A Brown wrote:
> Hello Everyone,
>
> I just have a follow up question to my question above. I was able to 
> create the list for the two groups with pctcorrect as an attribute 
> following all of the steps David V and David McFarlane provided; 
> however, I have a brief question about running the experiment with 
> this setup. Will I be able to determine which trialproc a subject was 
> placed in (highfrustrationproc or lowfrustrationproc) or is this 
> something I would have to designate beforehand? I figure with the 
> counterbalancing I wouldn't have to designate this, but I would need 
> to know which procedure each participant completed. Also, in the 
> experiment object properties startup information, I have group checked 
> where I can input either 1 or 2 to state which condition the 
> participant is assigned.Is this beginning group step necessary if I 
> have E-prime counterbalance subjects into the two conditions using the 
> list I created? I guess the main question I am asking is if I can 
> simple uncheck group in the experiment object properties start-up 
> information given that I have counterbalanced the list of procedures?
> Thanks,
> Kelsey
>
> On Monday, September 8, 2014 5:27:08 PM UTC-4, Kelsey A Brown wrote:
>
>     Hello Everyone,
>
>     I am trying to use E-prime to build a stop signal frustration
>     task, but I have encountered a few complications in building the
>     task.
>     At the moment, I am trying to create an initial script that would
>     allow E-prime to automatically run a participant in a condition
>     (high frustration or low frustration) depending on the participant
>     number that I input before running the experiment.
>     So for example, if I wanted to run 80 participants, half would be
>     placed in the high frustration condition and the other half would
>     be placed in the low frustration condition.
>
>     I have some ideas about how this could theoretically be carried
>     out, but I'm not sure if/how this can actually be implemented in
>     the script. For example, I would want the initial script to begin
>     by telling the program to pull 40 random numbers 1-80 (I would
>     need to somehow make the same 40 numbers be pulled each time). The
>     40 numbers pulled would be placed in the low frustration condition
>     where pctcorrect (percent correct)=.80.
>     If else, (so if one of the other 40 numbers were pulled), place
>     the participant in a high frustration condition where  pctcorrect
>     (percent correct)=.30.
>
>     e.g. If I were running the program and I typed in my participant
>     number as 3 and 3 was one of the random numbers pulled between 1
>     and 80 then the program would automatically run the stop signal
>     task placing the participant in the low frustration condition
>     where pctcorrect=.80 (where participants could accurately inhibit
>     on 80% of stop signal trials).
>
>     However, if the participant ID number was 8 and 8 was not one of
>     the 40 random numbers initially pulled between 1 and 80 then the
>     program would place the participant in the high frustration
>     condition where pctcorrect=.30.
>
>
>     Is this something that is possible in E-prime?
>
>     I hope this makes sense. Thanks in advance for your input!
>     -Kelsey
>
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-- 
David Vinson, Ph.D.
ESRC Research Fellow
Experimental Psychology
University College London
26 Bedford Way, London WC1H 0AP
Tel +44 (0)20 7679 5311  (UCL internal ext. 25311)

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