Removing within-subject & within-session outliers in EdataAid

[David McFarlane]

To eliminate all RTs greater than a certain fixed value, just use a 
filter in E-DataAid, or in the Analyze tool of E-DataAid -- I am 
pretty sure that this is covered in the tutorial Guides that came 
with E-Prime (and I also cover this in my online course).

If you want custom filters for individual subjects or for individual 
sessions of each subject, or if you want the filter criterion to be 
derived from some computation based on the data, then I think you 
will have to use another tool, as far as I know those sorts of 
analyses go beyond what E-DataAid can do and what it is meant to 
do.  As you already know, E-DataAid will easily reveal mean RTs for 
each subject, or for each session of each subject, but from there you 
have to explort data and do the rest in Excel, SPSS, Systat, or what have you.

I do like E-DataAid and its Analyze feature a lot for initial data 
preparation (e.g., filtering rows and selecting columns to export) 
and for initial exploration of descriptive statistics, and I devote 
one lesson in my online course to covering these uses, but after that 
I would export the data for further analysis (e.g., hypothesis 
testing, ANOVA, etc.).

Just my $.02, curious to hear from others.

-----
David McFarlane
E-Prime training 
online:  http://psychology.msu.edu/Workshops_Courses/eprime.aspx
Twitter:  @EPrimeMaster (https://twitter.com/EPrimeMaster)

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At 10/7/2013 04:27 PM Monday, tudor wrote:
>I have a merged .emrg2 (EdataAid) file containing reaction time data 
>from several subjects, across several sessions done by each. I would 
>like to eliminate RT outliers within each subject individually, and 
>if possible also within session rather than across all sessions of a 
>single subject.
>
>By 'outlier' I would mean RTs that are more than 2.5 standard 
>deviations away from the mean, although if that's hard to do, it 
>would also be fine to just eliminate all RTs greater than a certain 
>fixed value (e.g. 3,000 ms).
>
>I have not found a way to do this with the Analyze window, and 
>because I have many such merged files, I would prefer to not have to 
>do this 'the hard way', i.e. by exporting all the data to Excel and 
>doing the outlier-removal and the averaging (which is otherwise done 
>easily in Analyze) over there.
>
>Can anyone help? Many thanks in advance!

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