A Strategy for Reducing and Analyzing Ordered Choice Data

A major barrier to use of new measurement methodologies in behavioral research has been the difficulties encountered in collecting individual judgements. Balanced incomplete block design (BIBD) procedures offer enormous flexibility in the way judgmental data may be collected. The advantages and disadvantages of BIBDs are clarified and their use is demonstrated with an empirical example. A procedure for reducing data of this type to analyzable form is proposed and an analytical approach that is appropriate for the resulting data is illustrated.