I'm working on highly skewed data, so I'm using the median instead of the mean to summarise the central tendency. I'd like to have a measure of dispersion
While I often see people reporting **mean $\pm$ standard deviation** or **median$\pm$quartiles** to summarise the central tendency, is it ok to report **median $\pm$ [median absolute dispersion (MAD)](http://en.wikipedia.org/wiki/Median_absolute_deviation)**? Are there potential issues with this approach?

I would find this approach more compact and intuitive than reporting lower and upper quartiles, especially in large tables full of figures.