In general ordinal variables do not have outliers and the reason is that
outliers are a statistical problem in continuous or interval data. If
you double click the column heading a variable information box opens and
if you change the Modeling Type from Continuous to Ordinal JMP will
automatically select the kinds of statistics appropriate for your
variables. You will simply have to pick from those produced to see
which is appropriate for your data.
jim gundlach
>>> David Stodolsky <david.stodolsky@socialinformatics.org> 07/11/09
1:28 PM >>>
I have some ordinal data (5 levels) that I need to eliminate outliers
from before doing MDS. The older version of JMP I have, requires
continuous data for Man. D or Jackknife. Is there some other way to do
this or do I need some other program? The data contains two subsets of
questions (attitudes and what could change attitudes) and the
population may be heterogeneous.
dss
David Stodolsky, PhD Institute for Social Informatics
Tornskadestien 2, st. th., DK-2400 Copenhagen NV, Denmark
dss@secureid.org Skype:
davidstodolsky
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