Evaluating the Equal-Interval Hypothesis with Test Score Scales

Ben Domingue ()

Psychometrika, 2014, vol. 79, issue 1, 19 pages

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. Copyright The Psychometric Society 2014

Keywords: conjoint measurement; Rasch model; interval scale (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/s11336-013-9342-4

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