The command iquantile has been updated on SSC.
The original posting announcing this command is now at https://www.stata.com/statalist/arch.../msg00728.html. The thread was started by
Taggert J. Brooks, whose posting is now at https://www.stata.com/statalist/arch.../msg00652.html
The problem tackled is best explained by example. Suppose you have an ordinal variable with values 1, 2, 3, 4, 5. The median will be reported by most Stata commands as either one of those integers or at most a half-integer, which is coarse and doesn't really use all the information in most examples. On the other hand, many researchers might feel queasy at working with the mean. A compromise is to use the frequencies to interpolate a median.
If that sounds slightly interesting or useful, then use
to read as much of the help as you need to help you decide whether to download..
I am aware of an anguished and even angry literature on what summary measures make sense with ordinal scale data, and independently of that the command may have small uses for other kinds of data.
The revision was prompted by Cees van der Eijk, as explained and acknowledged gratefully in the help.
The original posting announcing this command is now at https://www.stata.com/statalist/arch.../msg00728.html. The thread was started by
Taggert J. Brooks, whose posting is now at https://www.stata.com/statalist/arch.../msg00652.html
The problem tackled is best explained by example. Suppose you have an ordinal variable with values 1, 2, 3, 4, 5. The median will be reported by most Stata commands as either one of those integers or at most a half-integer, which is coarse and doesn't really use all the information in most examples. On the other hand, many researchers might feel queasy at working with the mean. A compromise is to use the frequencies to interpolate a median.
If that sounds slightly interesting or useful, then use
Code:
ssc type iquantile.sthlp
I am aware of an anguished and even angry literature on what summary measures make sense with ordinal scale data, and independently of that the command may have small uses for other kinds of data.
The revision was prompted by Cees van der Eijk, as explained and acknowledged gratefully in the help.
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