This book was written with the belief that ordinal statistical
methods--sometimes discussed under the title of "nonparametric
statistics"--deserve much more serious attention as research tools
than they have traditionally had. There are three classes of
reasons for this:
*Many behavioral variables constitute only ordinal scales, not
interval measurements that are required for traditional statistics.
*Various research issues that are of primary interest in
behavioral research are themselves questions about order: Which
group scores higher? Is the order on this variable similar to the
order on that?
*Inferences from ordinal statistics are less subject to
distributional peculiarities of the data than are those from
traditional statistics.
Taking an innovative approach, this book treats ordinal methods in
an integrated way rather than as a compendium of unrelated methods,
and emphasizes that the ordinal quantities are highly meaningful in
their own right, not just as stand-ins for more traditional
correlations or analyses of variance. In fact, since the ordinal
statistics have desirable descriptive properties of their own, the
book treats them parametrically, rather then nonparametrically. The
author discusses how ordinal statistics can be applied in a much
wider set of research situations than has usually been thought, and
that they can often come closer to answering the researcher's
primary questions than traditional ones can. And he includes some
extensions of ordinal methods in order to accomplish that
end.
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