i think that so long as you can justify why you recode the variable in the way
you do, it's OK to reassign values. Of course, you should not assign values
to the variable just to produce the results that you want. hope this helps.
yongwook
Quoting "Phillip Y. Lipscy" <lipscy(a)fas.harvard.edu>du>:
I think I have an intuitive sense of the answer to
this question, but it's
come
up in one of the datasets we are trying to replicate so just thought I would
canvass others' opinions.
Suppose a variable such as "divided government" is coded -1 for unified, 0
for
partial, and 1 for divided. After running a regression, the variable is not
significant. Is it legitimate then to reassign values such as 0 for unified,
1
for partial, and 255 for divided to produce significant results?
My intuition tells me that this would be legitimate only if there is some
prior
theoretical reason to believe that divided government has 255 times the
effect
of partial. Is that right?
Thanks,
Phillip.
-------------------------------------------------
Phillip Y. Lipscy
Perkins Hall Room #129
35 Oxford Street
Cambridge, MA 02138
(617)493-4893 DORM
(617)851-8220 CELL
lipscy(a)fas.harvard.edu
http://www.people.fas.harvard.edu/~lipscy/
First Year Student, Ph.D. Program
Harvard University, FAS, Department of Government
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Yongwook Ryu
PhD Student
Department of Government
Harvard University
Tel:617-493-3397
Email: yryu(a)fas.harvard.edu
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