On Wed, 6 Jun 2012, Christopher Green went:

SPSS is still quite common here among the general run of grad
students, but it is generally regarded as the "lesser" of various
products. SAS is preferred by people who are a little more
stats-intensive. And everyone who considers (or intends) statistical
methods to be one of their areas of expertise uses R.

If you intend to work with repeated-measures data in which any
datapoints are missing (or with predictors that vary over time), SAS
and R offer procedures more powerful and flexible than SPSS does.
Where I work, SPSS users frequently come to me so I can deal with
their data in SAS's Proc Mixed or Proc Glimmix.

Oh--many of those procedures can also be done with this freeware
<http://tigger.uic.edu/~hedeker/mix.html>, but I haven't tried it.

--David Epstein
  [email protected]

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