Hi everybody,
I assume there is a very simple solution to this problem. I simply cannot find a way to scan for outliers in groups. Can somebody enlighten me? Regards, Ben.
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The road to enlightenment is paved with such inconveniences as taking the time to describe your issue with some specificity? Perhaps try SPLIT FILE and EXAMINE?
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Haha, my apologies, David.
I want to screen my data for a 2x3 experiment using multiple binary and ordinal DV's (Approx 15 in total). before I engage in analysis proper, I wanted to screen my data for univariate outliers, multivariate outliers, normality, heterogeneity of variance etc.
My data is nested ( 63 groups with 10-12 subjects each), I don't know if that presents a complication for screening. If there are any further details required please let me know.
Regards, Ben. On 27 May 2012 16:47, David Marso <[hidden email]> wrote: The road to enlightenment is paved with such inconveniences as taking the |
In reply to this post by Benjamin Spivak (Med)
There are several tools in Statistics that
might help here. For example,
EXAMINE reports outliers and can process groups. Anomaly detection, aka Identify Unusual Cases uses clustering techniques for this. It doesn't do groups explicitly, but you can include the grouping variables in the analysis variables list. Graphically, you might look at paneled plots, including the STATS SUBGROUP PLOTS extension command available from the SPSS Community website. And, of course, residuals analysis from various procedures would be useful. HTH, Jon Peck (no "h") aka Kim Senior Software Engineer, IBM [hidden email] new phone: 720-342-5621 From: Benjamin Spivak <[hidden email]> To: [hidden email] Date: 05/26/2012 11:44 PM Subject: [SPSSX-L] Scanning grouped data for outliers Sent by: "SPSSX(r) Discussion" <[hidden email]> Hi everybody, I assume there is a very simple solution to this problem. I simply cannot find a way to scan for outliers in groups. Can somebody enlighten me? Regards, Ben. |
In reply to this post by Benjamin Spivak (Med)
Hi Ben,
What about James Schwab's methods page at http://www.utexas.edu/courses/schwab/sw388r7/SolvingProblems/SolvingHomeworkProblems.htm and in particular http://www.utexas.edu/courses/schwab/sw388r7/SolvingProblems/DetectingOutliers.ppt ? HTH F. Thomas On 27/05/2012 07:39, Benjamin Spivak wrote: > Hi everybody, > > I assume there is a very simple solution to this problem. I simply > cannot find a way to scan for outliers in groups. Can somebody > enlighten me? > > Regards, > > Ben. ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
Thanks everybody. I will try these methods tonight and reply.
On 28 May 2012 17:52, ftr <[hidden email]> wrote: Hi Ben, |
In reply to this post by Benjamin Spivak (Med)
The very first step in working on suspicious
(anomalous) values is to proofread or double enter the
data.
YMMV but in my experience a subjective 80-some percent are data entry errors. Art Kendall Social Research Consultants On 5/27/2012 1:39 AM, Benjamin Spivak wrote: Hi everybody,===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
Art Kendall
Social Research Consultants |
There are several ways to do this like double entry and
compare, as Art noted, to using statistical measures such as Cook's in SPSS
so exactly at what level are you seeking to do this?
WMB From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Art Kendall Sent: Monday, May 28, 2012 7:10 AM To: [hidden email] Subject: Re: Scanning grouped data for outliers YMMV but in my experience a subjective 80-some percent are data entry errors. Art Kendall Social Research Consultants On 5/27/2012 1:39 AM, Benjamin Spivak wrote: Hi everybody,===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
Will
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