Date:         Sat, 24 Mar 2007 16:38:32 +0000
Reply-To:     Margaret MacDougall <margmacd@talk21.com>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Margaret MacDougall <margmacd@talk21.com>
Subject:      Re: Simulating non-Normal data
Comments: To: Statisticsdoc <statisticsdoc@cox.net>
In-Reply-To:  <PMEJJAHAJHJANCGEODHEKEEGCGAA.statisticsdoc@cox.net>
Content-Type: text/plain; charset=iso-8859-1

Dear Stephen

  Thank you for your welcome message. My particular interest is in simulating data for continuous scores provided by sets of 2, 3, 4, ... raters.

  I understand that Monte Carlo simulation of experimental data may be the way ahead but I don't know where to start here. Any suggestions on this and the above would be most welcome. (I don't wish to use explicit functions to generate the data if possible but rather, to simulate more realistic experimental data.

  Many thanks

  Best wishes

  Margaret

Statisticsdoc <statisticsdoc@cox.net> wrote:
  Would creating a bimodal distribution suit your purposes? This can be
fairly easily done by generating two normal distributions with different
means and adding the results.

HTH,

Stephen Brand

For personalized and professional consultation in statistics and research
design, visit
www.statisticsdoc.com


-----Original Message-----
From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU]On Behalf Of
Margaret MacDougall
Sent: Saturday, March 10, 2007 8:05 AM
To: SPSSX-L@LISTSERV.UGA.EDU
Subject: Simulating non-Normal data


Hello

Apologies for cross-posting

Hello

I would like to do some testing on the robustness of a procedure for
Normal data when applied to non-Normal data. I would therefore be most
interested to receive advice on generating multiple samples of non-Normal
continuous data which do not necessarily follow a standard distribution
(such as the non-Normal distribution) and which therefore cannot necessarily
be 'Normalized' easily under a transformation.

Recommendations on suitable software would be very much appreciated.

A further stage in the above investigation will involve consideration of
multiple samples of ordinal data and any relevant suggestions here would
also be gratefully received.


Best wishes

Margaret



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