Introduction to probabilistic conjoint measurement theory and applications

These chapters together are to exhibit some of the wide-ranging applications that probabilistic conjoint measurement enjoy in the fields of education, psychology, medical rehabilitation, and business management.

Abstract

The purpose of collecting these chapters together is to exhibit some of the wide-ranging applications that probabilistic conjoint measurement enjoy in the fields of education, psychology, medical rehabilitation, and business management. Conjoint measurement is achieved when item difficulty calibrations vary consistently over person ability measures, and vice versa. Probabilistic approaches to conjoint measurement are distinguished from deterministic approaches and from the multi-parameter approaches of item response theory. The collected articles' presentations on computer adaptive testing, performance assessments involving raters, standard setting and certification, and other topics are briefly summarized.