In a lengthy list of measures (which are all in the same units), I am
reporting both the Mean and the Median because some of the measures
have a skewed distribution and others do not (I might also list the
skewness and kurtosis, but that may be overkill). To index the
dispersion of each measure, I am including the Standard Deviation
(which seems most relevant in relation to the Mean) but am wondering
what is best to use in relation to the Median.

Some articles report the Minimum and Maximum values of measures. This
has the advantage of having the same meaning for all measures
regardless of whether they are normally distributed or not. It has the
disadvantage of being overly sensitive to extreme outliers, and
therefore not being a very good index of the overall central tendency
of the distribution -- making it less useful for comparing different
measures to one another.

At the opposite extreme, some articles list the inter-quartile range
(values at the 25th and 75th percentile). This has the advantage of
not being influenced by outliers and that it is easy to interpret (the
middle 50% of the sample). However, it has the disadvantage of being
narrower than the range defined by +/- 1 SD (the middle 68% of the
sample) -- making it hard to compare the dispersion of different
measures.

Do people sometimes report the Median with the 16th and 84th
percentile (the middle 68% of the sample)? If so, what is it called?
This range would appear to have the advantage of being directly
comparable to the breadth of the Mean +/- 1 SD.  It seems logical to
me, but I have never seen it.

Perhaps there are other indices of central tendency that work equally
well for the Mean and the Median?

What would people recommend?

Thanks!


--
*************************************************
John H. Poole, Ph.D.
Department of Psychiatry
University of California Medical Center
4150 Clement Street (116C)
San Francisco, CA 94061, USA

Phone: 650-281-8851   Fax: 415-750-6996
Email: [EMAIL PROTECTED]; [EMAIL PROTECTED]
*************************************************





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