Ordinal variable, Advanced Statistics

Ordinal variable is a measurement which allows a sample of the individuals to be ranked with respect to some characteristic but where differences at different points of the scale are not essentially equivalent. For instance, anxiety may be rated on a scale 'mild', 'none', 'moderate' and 'severe', with values 0,1,2,3, being used to label the categories. A patient with anxiety score of one could be ranked as less anxious than one given a score of three, but patients with scores 0 and 2 do not necessarily have the similar difference in anxiety as patients having the scores of 1 and 3.

Posted Date: 7/30/2012 7:44:53 AM | Location : United States







Related Discussions:- Ordinal variable, Assignment Help, Ask Question on Ordinal variable, Get Answer, Expert's Help, Ordinal variable Discussions

Write discussion on Ordinal variable
Your posts are moderated
Related Questions
The non-trivial extraction of implicit, earlier unknown and potentially useful information from data, specifically high-dimensional data, using pattern recognition, artificial inte

A manufacturing company has two factories F 1 and F 2 producing a certain commodity that is required at three retail outlets M 1 , M 2 and M 3 . Once produced, the commodity is

moving and semi average method graphical reprsentation

Locally weighted regression  is the method of regression analysis in which the polynomials of degree one (linear) or two (quadratic) are used to approximate regression function in

An approach to decrease the size of very large data sets in which the data are first 'binned' and then statistics such as the mean and variance/covariance are calculated on each bi

Geographical information system (gis): The software and hardware configurations through which the digital georeferences are processed and displayed. Used to recognize the geograph

how to find the PDF and CDF of a gamma random variable with given equation?

literature review of latin square design.

Conjugate prior : The distribution for samples from the particular probability distribution such that the posterior distribution at each stage of the sampling is of the identical f

1) Let N1(t) and N2(t) be independent Poisson processes with rates, ?1 and ?2, respectively. Let N (t) = N1(t) + N2(t). a) What is the distribution of the time till the next epoch