Using the median for non parametric (Likert) data, when it gives you a decimal place My colleague and I are working with non-parametric Likert data. 

We have been taking the median, but just realised that we are still getting values of say 2.5 or 1.5. Our justification for using the median over the mean was that values which lie between our Likert data points do not have strong meaning. 

We are unsure if we should run our analysis again, always taking the minimum value or...?

Thank you.
You are using the wrong justification for using the median. The only reason you can even consider using a median or mean with Likert data is because there is meaning to values between Likert items. If you have "Agree" and "Strongly Agree" there is definitely the possibility of some value where someone agrees more strongly than agree but less strongly than strongly agree.

However, you lose a ton of information when you calculate the median of a Likert-like item, and it can be dangerous to do so when the shapes of the response distributions vary. Let's consider a case where you have 5 levels. These two count vectors give you the same median '3':

A = [5 5 50 20 20]

B = [20 20 50 5 5]

but the distributions are quite different and the median is not very informative about that difference.

You may consider using the "interpolated median" which treats a Likert item as indicating the interval between adjacent items, for example a "3" really means "somewhere on the interval [2.5 3.5]."

For the cases A and B above, the interpolated medians are:

mintA = 3.3

mintB = 2.7