Date: Mon, 31 Jul 2006 13:27:01 +0200
Reply-To: Spousta Jan <JSpousta@CSAS.CZ>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: Spousta Jan <JSpousta@CSAS.CZ>
Subject: Re: Transforming into normal distro
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The best possible try is to use normal scores RANK ... /NORMAL.
GET FILE='C:\Program Files\SPSS\Cars.sav'.
VARIABLES=weight (A) /NORMAL /PRINT=YES
/TIES=MEAN /FRACTION=BLOM .
1) The transformation is generally very much non-linear and hard to
2) In some cases (discrete variables) it is impossible to obtain a
normal distribution even with this method.
Usually one rather tries "standard" transformations (log, 1/x, exp,
arctg...) to obtain something more Gaussian (even if not perfect
Gaussian) or uses non-parametric methods which does not require
From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of
Sent: Monday, July 31, 2006 1:13 PM
Subject: Transforming into normal distro
I made the K-S test on the dependent variable and saw that it is not
normally distributed (Asymp. Sig. = 0,000).
Is there a data transformation or some magical incantation that exists
somewhere to transform this data into a normally distributed set ?