@article{ref1,
title="An Algorithm for Converting Ordinal Scale Measurement Data to Interval/Ratio Scale",
journal="Educational and psychological measurement",
year="2010",
author="Granberg-Rademacker, J. Scott",
volume="70",
number="1",
pages="74-90",
abstract="The extensive use of survey instruments in the social sciences has long created debate and concern about validity of outcomes, especially among instruments that gather ordinal-level data. Ordinal-level survey measurement of concepts that could be measured at the interval or ratio level produce errors because respondents are forced to truncate or round off their responses to fit a given ordinal scale. This article presents a Markov chain Monte Carlo modeling technique that converts ordinal measurements to interval/ ratio. Simulated data demonstrate the robustness of this technique, and implications of this technique are discussed.<p />",
language="",
issn="0013-1644",
doi="10.1177/0013164409344532",
url="http://dx.doi.org/10.1177/0013164409344532"
}