title: Evaluating the equal-interval hypothesis with test score scales.
abstract: The axioms of additive conjoint measurement provide a means of testing the hypothesis that testing data can be placed onto a scale with equal-interval properties. However, the axioms are difficult to verify given that item responses may be subject to measurement error. A Bayesian method exists for imposing order restrictions from additive conjoint measurement while estimating the probability of a correct response. In this study an improved version of that methodology is evaluated via simulation. The approach is then applied to data from a reading assessment intentionally designed to support an equal-interval scaling.
authors: Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA, ben.domingue@gmail.com.
authors: Ben
authors: B
authors: Domingue
mesh_terms: D006801:Humans; D008962:Models, Theoretical; D011594:Psychometrics / Q000379:methods*