Test Process Data

Response Times in a Bayesian Marginal Modeling Framework (RR 18-02)

by Konrad Klotzke and Jean-Paul Fox, University of Twente, Enschede, the Netherlands

A new statistical model is proposed to study the effects of various testing conditions on a population of test takers. This flexible model allows for numerous effects to be considered simultaneously. A Bayesian approach is employed, taking prior information into consideration. An empirical example demonstrates the utility of the suggested model to test the influence of item presentation formats on the performance of test takers. This research could be of practical value in a potential transition of the Law School Admission Test (LSAT) from a paper-and-pencil format to a digital mode.

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